audibene / hear.com is the fastest growing hearing care company ever. Our mission is to provide cutting edge technology for hearing care devices and improve the lives of our customers. We started our journey in 2012 when our founders started thinking about the concept of digitalizing a very traditional industry. Today we are more than 1,000 people across the globe, at 11 offices from Denver to Seoul. Join us working towards revolutionizing the hearing industry! About the role As a Finance & Data Analyst you are going to support the Finance and Business Intelligence teams with managing and owning the relationship between Finance and Business Intelligence. In your day-to-day business you want to work on several global and cross-functional projects. You guarantee that the data warehouse is done smoothly and in a way that allows the business to grow and to work in a more structured way. Main tasks:
Analyze / maintain the organizations KPIs as they pertain to the specific projects you will be assigned to
As part of the Global Business Intelligence team, communicate and meet with stakeholders
Provide recommendations and operational insight on existing and new processes
Proactively and reactively analyze and interpret
Create intelligent and structured processes to define and understand the data flow process for finance
Create custom models and advanced analysis on the KPIs that drive our business
Pro-actively managing the business relationships with the global finance teams
What makes you successful as a Finance & Data Analyst
Outstanding analytics skills and attention to detail
At least two years of hands-on experience in a role that requires rigorous project management, financial analysis, controlling and financial planning like investment banking, consulting, venture capital
Expertise in financial modeling and good understanding of accounting principles
Knowledge of data profiling and proven experience in data analytics, transformations
Strong, professional written and verbal communication skills with the ability to work with all levels within the business; confidence in your ability to anticipate what is needed; flexibility and ability to use initiative
Data management experience and working knowledge of reporting universe structures and processes
Working knowledge of Microsoft Navision is a plus
Working knowledge of relational databases and how they are manipulated
Experience in using statistical techniques in a business environment or advanced analytics modeling knowledge
Advanced knowledge in SQL, Python, or R
Excellent time management and organizational skills and deliverable to deliver deadlines
More reasons to join us
It makes no difference whether you are an early-bird or an owl, as we offer flexible working hours based on trust and individual accountability
Be part of the company that makes a difference in peoples' lives every year
Shape the future of audibene / hear.com from day one with high responsibility and meaningful tasks
We offer a start-up atmosphere with flat hierarchies and open communication. Apart from the usual benefits, as free coffee, drinks and healthy snacks, we focus mainly on our people
Work alongside an international team of more than 50 nationalities speaking more than 20 languages
26/08/2019
Full time
audibene / hear.com is the fastest growing hearing care company ever. Our mission is to provide cutting edge technology for hearing care devices and improve the lives of our customers. We started our journey in 2012 when our founders started thinking about the concept of digitalizing a very traditional industry. Today we are more than 1,000 people across the globe, at 11 offices from Denver to Seoul. Join us working towards revolutionizing the hearing industry! About the role As a Finance & Data Analyst you are going to support the Finance and Business Intelligence teams with managing and owning the relationship between Finance and Business Intelligence. In your day-to-day business you want to work on several global and cross-functional projects. You guarantee that the data warehouse is done smoothly and in a way that allows the business to grow and to work in a more structured way. Main tasks:
Analyze / maintain the organizations KPIs as they pertain to the specific projects you will be assigned to
As part of the Global Business Intelligence team, communicate and meet with stakeholders
Provide recommendations and operational insight on existing and new processes
Proactively and reactively analyze and interpret
Create intelligent and structured processes to define and understand the data flow process for finance
Create custom models and advanced analysis on the KPIs that drive our business
Pro-actively managing the business relationships with the global finance teams
What makes you successful as a Finance & Data Analyst
Outstanding analytics skills and attention to detail
At least two years of hands-on experience in a role that requires rigorous project management, financial analysis, controlling and financial planning like investment banking, consulting, venture capital
Expertise in financial modeling and good understanding of accounting principles
Knowledge of data profiling and proven experience in data analytics, transformations
Strong, professional written and verbal communication skills with the ability to work with all levels within the business; confidence in your ability to anticipate what is needed; flexibility and ability to use initiative
Data management experience and working knowledge of reporting universe structures and processes
Working knowledge of Microsoft Navision is a plus
Working knowledge of relational databases and how they are manipulated
Experience in using statistical techniques in a business environment or advanced analytics modeling knowledge
Advanced knowledge in SQL, Python, or R
Excellent time management and organizational skills and deliverable to deliver deadlines
More reasons to join us
It makes no difference whether you are an early-bird or an owl, as we offer flexible working hours based on trust and individual accountability
Be part of the company that makes a difference in peoples' lives every year
Shape the future of audibene / hear.com from day one with high responsibility and meaningful tasks
We offer a start-up atmosphere with flat hierarchies and open communication. Apart from the usual benefits, as free coffee, drinks and healthy snacks, we focus mainly on our people
Work alongside an international team of more than 50 nationalities speaking more than 20 languages
Morningstar
on the roof, Mainkurstraße, Frankfurt, Germany
The Managed Investment Data Team requires a Fund Data Analyst to drive Morningstar data in the local market. The employee wants to collaborate with all global and local teams. The Data Analyst wants to improve and enhance relationships with data providers, demonstrate our capabilities and quality, and return the voice of the local market to the global and central teams. The position wants to be based in our Frankfurt office.
Responsibilities:
Data expert on investment data points, processes, methodologies, calculations & different fund structures.
Partner with product, sales & support teams on the prospect discovery process.
Evangelize Morningstar data at a local level to internal & external clients.
Manage business relationships with fund companies. Visiting providers & setting up acquisition channels as well as acting as a point of escalation when such channels are failing.
Collaborate with members of the Data & Development Centers and global teams.
Manage projects focused on improving our database in order to make changes in our industry and client's needs. This includes business analysis on market trends & regulatory changes & liaising with associations or working groups in order to design data collection plans & bring back the voice of the client.
Monitor competitor behavior, trends and services in order Morningstar are well placed to act on any opportunities that may arise.
Requirements:
Solid understanding of the local financial industry and passionate in investment data.
Excellent writing, communication, problem solving, organizational and analytical skills.
Ability to demonstrate client centric approach.
Previous experience in project management is highly preferred.
Fluent German and English.
A minimum of 2 years of experience in morning star, ideally in relationship management.
A bachelor's degree or equivalent is required.
Expertise in Morningstar data, methodology, quality and processes.
Morningstar is an equal opportunity employer
D99_MstarGerman Morningstar Germany GmbH (Germany) Legal Entity
26/08/2019
Full time
The Managed Investment Data Team requires a Fund Data Analyst to drive Morningstar data in the local market. The employee wants to collaborate with all global and local teams. The Data Analyst wants to improve and enhance relationships with data providers, demonstrate our capabilities and quality, and return the voice of the local market to the global and central teams. The position wants to be based in our Frankfurt office.
Responsibilities:
Data expert on investment data points, processes, methodologies, calculations & different fund structures.
Partner with product, sales & support teams on the prospect discovery process.
Evangelize Morningstar data at a local level to internal & external clients.
Manage business relationships with fund companies. Visiting providers & setting up acquisition channels as well as acting as a point of escalation when such channels are failing.
Collaborate with members of the Data & Development Centers and global teams.
Manage projects focused on improving our database in order to make changes in our industry and client's needs. This includes business analysis on market trends & regulatory changes & liaising with associations or working groups in order to design data collection plans & bring back the voice of the client.
Monitor competitor behavior, trends and services in order Morningstar are well placed to act on any opportunities that may arise.
Requirements:
Solid understanding of the local financial industry and passionate in investment data.
Excellent writing, communication, problem solving, organizational and analytical skills.
Ability to demonstrate client centric approach.
Previous experience in project management is highly preferred.
Fluent German and English.
A minimum of 2 years of experience in morning star, ideally in relationship management.
A bachelor's degree or equivalent is required.
Expertise in Morningstar data, methodology, quality and processes.
Morningstar is an equal opportunity employer
D99_MstarGerman Morningstar Germany GmbH (Germany) Legal Entity
We are looking for a BI analyst to support our marketing department. You'll be part of the go-to team that delivers results and business data.
As a BI Analyst, your responsibility wants to be:
Contribute in measuring and optimizing marketing activities using our marketing team (eg with tableau dashboards)
Extract and aggregate data from various sources (Google Analytics, Google AdWords, Salesforce, etc.)
Set up automation for Excel reporting
Analyzing data sources, taxonomies, semantic conventions, and methodologies regularly to ensure data integrity
Qualifications
You have 1-2 years experience in business intelligence and especially working with marketing data
Excellent knowledge of SQL queries
You can build reports and dashboards with Tableau or other BI reporting tools
Ideally you've already worked with Google Analytics / Adwords APIs, Localytics or similar
Python knowledge is a big plus
Additional information
What we offer:
Attractive perks - access to Quandoo's pension scheme as well as various fitness and lifestyle benefits
Modern equipment - state-of-the-art laptop & tools needed for optimal work results
Fun working environment - opportunity to collaborate with highly motivated colleagues and attendants parties, the weekly Qweekend and Quandoo's Global Summit
Work-home balance - flexible working hours, home office possibilities and up to 30 days of vacation
High level of responsibility - the chance to hit the ground
Want to be part of Quandoo's future? Apply now!
Sounds like a cool job, but not for yourself? Please feel free to share this job description with your network!
26/08/2019
Full time
We are looking for a BI analyst to support our marketing department. You'll be part of the go-to team that delivers results and business data.
As a BI Analyst, your responsibility wants to be:
Contribute in measuring and optimizing marketing activities using our marketing team (eg with tableau dashboards)
Extract and aggregate data from various sources (Google Analytics, Google AdWords, Salesforce, etc.)
Set up automation for Excel reporting
Analyzing data sources, taxonomies, semantic conventions, and methodologies regularly to ensure data integrity
Qualifications
You have 1-2 years experience in business intelligence and especially working with marketing data
Excellent knowledge of SQL queries
You can build reports and dashboards with Tableau or other BI reporting tools
Ideally you've already worked with Google Analytics / Adwords APIs, Localytics or similar
Python knowledge is a big plus
Additional information
What we offer:
Attractive perks - access to Quandoo's pension scheme as well as various fitness and lifestyle benefits
Modern equipment - state-of-the-art laptop & tools needed for optimal work results
Fun working environment - opportunity to collaborate with highly motivated colleagues and attendants parties, the weekly Qweekend and Quandoo's Global Summit
Work-home balance - flexible working hours, home office possibilities and up to 30 days of vacation
High level of responsibility - the chance to hit the ground
Want to be part of Quandoo's future? Apply now!
Sounds like a cool job, but not for yourself? Please feel free to share this job description with your network!
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Troubleshooter, Umsetzer und Kommunikationstalente. Mit Ihrer analytischen und gleichzeitig pragmatischen Denkweise bringen Sie unsere Analysetechniken voran und liefern stets smarte Impulse, um bestmögliche Prüfungsergebnisse zu erzielen. Jump on.
Ihre Aufgaben:
Sie unterstützen unsere Auditteams bei der Analyse von Geschäftsdaten, identifizieren Kontrollschwächen und leiten Prüfungsansätze ab. Insbesondere fokussieren Sie sich auf neue Analysetechniken, legen Grundsteine für Prüfungsprozesse und sind ungeschlagen bei der Plausibilisierung bzw. Bewertung technischer Daten sowie der Zusammenfassung und Strukturierung großer Datenmengen. Besonders freuen wir uns, dass Sie bereit sind, Ihr Know-how für einen entsprechenden Zeitraum auch standortübergreifend einzubringen – z. B. in Wien, München, Nürnberg oder Hannover.
Ihr Profil:
Abgeschlossenes Studium der Wirtschaftswissenschaften oder -informatik bzw. eine vergleichbare Qualifikation mit Schwerpunkt Statistik/Datenanalyse
Langjährige Berufserfahrung in einer vergleichbaren Position
Fundierte Erfahrung in der Analyse/Modellierung großer Datenmengen sowie Praxis in Automatisierung und Machine Learning/KI
Fit in ACL oder Knime sowie SQL, SAS, R, Python etc.
Erfolgreicher Track Record im Kontext internationaler Audits (inkl. fachlicher Führung)
Kommunikationsstärke, Spaß an Teamarbeit und souveränes Auftreten
Verhandlungssicheres Englisch und Deutsch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
15/08/2019
Full time
Weshalb zuschauen, wenn man auch mitgestalten kann? Die Bank der Zukunft entwickelt sich nicht von selbst. Dazu brauchen wir kluge Köpfe, Troubleshooter, Umsetzer und Kommunikationstalente. Mit Ihrer analytischen und gleichzeitig pragmatischen Denkweise bringen Sie unsere Analysetechniken voran und liefern stets smarte Impulse, um bestmögliche Prüfungsergebnisse zu erzielen. Jump on.
Ihre Aufgaben:
Sie unterstützen unsere Auditteams bei der Analyse von Geschäftsdaten, identifizieren Kontrollschwächen und leiten Prüfungsansätze ab. Insbesondere fokussieren Sie sich auf neue Analysetechniken, legen Grundsteine für Prüfungsprozesse und sind ungeschlagen bei der Plausibilisierung bzw. Bewertung technischer Daten sowie der Zusammenfassung und Strukturierung großer Datenmengen. Besonders freuen wir uns, dass Sie bereit sind, Ihr Know-how für einen entsprechenden Zeitraum auch standortübergreifend einzubringen – z. B. in Wien, München, Nürnberg oder Hannover.
Ihr Profil:
Abgeschlossenes Studium der Wirtschaftswissenschaften oder -informatik bzw. eine vergleichbare Qualifikation mit Schwerpunkt Statistik/Datenanalyse
Langjährige Berufserfahrung in einer vergleichbaren Position
Fundierte Erfahrung in der Analyse/Modellierung großer Datenmengen sowie Praxis in Automatisierung und Machine Learning/KI
Fit in ACL oder Knime sowie SQL, SAS, R, Python etc.
Erfolgreicher Track Record im Kontext internationaler Audits (inkl. fachlicher Führung)
Kommunikationsstärke, Spaß an Teamarbeit und souveränes Auftreten
Verhandlungssicheres Englisch und Deutsch
Bewerben Sie sich jetzt bei Deutschlands drittgrößter Privatkundenbank: ing.de/karriere
Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on.
Your tasks:
Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team. You understand data science better than a software engineer and software engineering better than a data scientist. In practice, you implement and evaluate machine learning models and bring them into operation. It is your task to turn the requirements of the departments in the environment of BI/DWH/Big Data into smart designs and to supervise the operation of these environments. In data science projects you are in charge of the technical aspects, act as a contact person and set out the framework while always working closely with international project managers, your team, and diverse stakeholders.
Your Profile:
Masters degree in computer science
Several years of experience with machine learning models including their operation
Fit in Python & Libraries such as scikit-learn, pandas, NumPy, TensorFlow
Experienced in working with Big Data platforms and tools like Hadoop, Spark und Flink
Profound know-how in software development incl. software testing, Continuous Integration, code reviews, etc.
Constructive in discussions in English and willing to learn German
Ready to travel up to max. 1/4 of your working time
Apply now at Germany’s third largest retail bank: ing.de/karriere
02/08/2019
Full time
Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on.
Your tasks:
Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team. You understand data science better than a software engineer and software engineering better than a data scientist. In practice, you implement and evaluate machine learning models and bring them into operation. It is your task to turn the requirements of the departments in the environment of BI/DWH/Big Data into smart designs and to supervise the operation of these environments. In data science projects you are in charge of the technical aspects, act as a contact person and set out the framework while always working closely with international project managers, your team, and diverse stakeholders.
Your Profile:
Masters degree in computer science
Several years of experience with machine learning models including their operation
Fit in Python & Libraries such as scikit-learn, pandas, NumPy, TensorFlow
Experienced in working with Big Data platforms and tools like Hadoop, Spark und Flink
Profound know-how in software development incl. software testing, Continuous Integration, code reviews, etc.
Constructive in discussions in English and willing to learn German
Ready to travel up to max. 1/4 of your working time
Apply now at Germany’s third largest retail bank: ing.de/karriere
Wir liefern Ergebnisse. Innovativ und technologisch anspruchsvoll – mit Big Data Analytik auf höchstem Niveau.
Die Orpheus GmbH wurde 2005 gegründet und ist führend im Bereich Big Data im Einkauf. Als etablierter Software-Hersteller für Business Intelligence und künstliche Intelligenz entwickeln wir herausragende Lösungskonzepte und Performance-Analysen für unsere Kunden im Einkauf. Mit unseren innovativen Algorithmen und Technologien generieren wir für unsere Kunden einen echten Wettbewerbsvorteil. Wir analysieren jährlich mehrere Milliarden Euro Einkaufsvolumen und zählen renommierte Unternehmen aus DAX, MDAX und der ganzen Welt zu unseren zufriedenen Kunden.
Orpheus wächst! Du hast Spaß daran in einem dynamischen Umfeld unsere Software fachlich zu prägen? Du möchtest mit deinen exzellenten analytischen Fähigkeiten den weiteren Ausbau unseres innovativen Unternehmens mitgestalten und dich gemeinsam mit unserem wachsenden Unternehmen entwickeln? Du suchst nach dem konsequenten nächsten Schritt mit viel Eigenverantwortung in einem sympathischen und professionellen Team? Dann bist du bei uns richtig!
Zur Verstärkung unseres Teams im Bereich Consulting suchen wir im deutschsprachigen Raum ab sofort in Festanstellung einen ambitionierten und engagierten (Junior) Projektleiter (m/w/d) Analytics.
Deine Aufgaben:
Du setzt innovative und datengesteuerte Lösungen bei unseren Kunden ein.
Du koordinierst unser Beraterteam bei der fachlichen Einführung unserer Softwarelösungen bei unseren internationalen Kunden mittels gängiger Projektmanagementtools und –techniken.
Du agierst als kompetenter Projektleiter bei unseren Kunden.
Du unterstützt bei der Klassifizierung von Einkaufsdaten und erstellst Einkaufsreports.
Dein Profil:
Du verfügst über ein Hochschulstudium in Natur- oder Ingenieurwissenschaften bzw. Mathematik, alternativ Wirtschaftswissenschaften.
Du verfügst über praktischen Erfahrungen im Projektmanagement, idealerweise hast du bereits als Projektleiter oder Teil-Projektleiter gearbeitet.
Dich fasziniert der Bereich Data Science, du arbeitest gerne datenbasiert und verfügst über eine sehr strukturierte, analytische und eigenständige Arbeitsweise.
Du hast ein sehr gutes Zahlenverständnis, großen Spaß an Analytik, hervorragende Excelkenntnisse sowie eine hohe Software- und Systemaffinität.
Du bist selbstbewusst und willst dich in einem sehr angenehmen Arbeitsumfeld weiterentwickeln.
Du besitzt sehr gute Deutsch- und Englischkenntnisse.
Du fühlst dich angesprochen? Dann bereichere das einzigartige Team von Orpheus und hinterlasse Spuren in einer aufstrebenden Branche!
Wir bieten dir das perfekte Umfeld um deine Karriere weiter zu entwickeln:
Attraktive Perspektiven zur Weiterentwicklung durch unsere vielen Experten
Moderne Arbeitsmittel und Tools – best in class
Reichlich Freiraum für eigenständiges und wertschätzendes Arbeiten
Unkomplizierte und flexible Arbeitszeiten
Frisches Obst, Wasser und Softdrinks, Tee, Kaffee und Snacks for free
Eine herausragende Unternehmenskultur mit regelmäßigen Teamevents
Flache Hierarchien mit kurzen Entscheidungswegen, die dir viel Flexibilität bieten
Wir freuen uns auf deine komplette Bewerbung inklusive deiner Verfügbarkeit und Gehaltsvorstellungen.
Bitte sende deine Bewerbung per E-Mail an jobs@orpheus-it.com.
30/07/2019
Full time
Wir liefern Ergebnisse. Innovativ und technologisch anspruchsvoll – mit Big Data Analytik auf höchstem Niveau.
Die Orpheus GmbH wurde 2005 gegründet und ist führend im Bereich Big Data im Einkauf. Als etablierter Software-Hersteller für Business Intelligence und künstliche Intelligenz entwickeln wir herausragende Lösungskonzepte und Performance-Analysen für unsere Kunden im Einkauf. Mit unseren innovativen Algorithmen und Technologien generieren wir für unsere Kunden einen echten Wettbewerbsvorteil. Wir analysieren jährlich mehrere Milliarden Euro Einkaufsvolumen und zählen renommierte Unternehmen aus DAX, MDAX und der ganzen Welt zu unseren zufriedenen Kunden.
Orpheus wächst! Du hast Spaß daran in einem dynamischen Umfeld unsere Software fachlich zu prägen? Du möchtest mit deinen exzellenten analytischen Fähigkeiten den weiteren Ausbau unseres innovativen Unternehmens mitgestalten und dich gemeinsam mit unserem wachsenden Unternehmen entwickeln? Du suchst nach dem konsequenten nächsten Schritt mit viel Eigenverantwortung in einem sympathischen und professionellen Team? Dann bist du bei uns richtig!
Zur Verstärkung unseres Teams im Bereich Consulting suchen wir im deutschsprachigen Raum ab sofort in Festanstellung einen ambitionierten und engagierten (Junior) Projektleiter (m/w/d) Analytics.
Deine Aufgaben:
Du setzt innovative und datengesteuerte Lösungen bei unseren Kunden ein.
Du koordinierst unser Beraterteam bei der fachlichen Einführung unserer Softwarelösungen bei unseren internationalen Kunden mittels gängiger Projektmanagementtools und –techniken.
Du agierst als kompetenter Projektleiter bei unseren Kunden.
Du unterstützt bei der Klassifizierung von Einkaufsdaten und erstellst Einkaufsreports.
Dein Profil:
Du verfügst über ein Hochschulstudium in Natur- oder Ingenieurwissenschaften bzw. Mathematik, alternativ Wirtschaftswissenschaften.
Du verfügst über praktischen Erfahrungen im Projektmanagement, idealerweise hast du bereits als Projektleiter oder Teil-Projektleiter gearbeitet.
Dich fasziniert der Bereich Data Science, du arbeitest gerne datenbasiert und verfügst über eine sehr strukturierte, analytische und eigenständige Arbeitsweise.
Du hast ein sehr gutes Zahlenverständnis, großen Spaß an Analytik, hervorragende Excelkenntnisse sowie eine hohe Software- und Systemaffinität.
Du bist selbstbewusst und willst dich in einem sehr angenehmen Arbeitsumfeld weiterentwickeln.
Du besitzt sehr gute Deutsch- und Englischkenntnisse.
Du fühlst dich angesprochen? Dann bereichere das einzigartige Team von Orpheus und hinterlasse Spuren in einer aufstrebenden Branche!
Wir bieten dir das perfekte Umfeld um deine Karriere weiter zu entwickeln:
Attraktive Perspektiven zur Weiterentwicklung durch unsere vielen Experten
Moderne Arbeitsmittel und Tools – best in class
Reichlich Freiraum für eigenständiges und wertschätzendes Arbeiten
Unkomplizierte und flexible Arbeitszeiten
Frisches Obst, Wasser und Softdrinks, Tee, Kaffee und Snacks for free
Eine herausragende Unternehmenskultur mit regelmäßigen Teamevents
Flache Hierarchien mit kurzen Entscheidungswegen, die dir viel Flexibilität bieten
Wir freuen uns auf deine komplette Bewerbung inklusive deiner Verfügbarkeit und Gehaltsvorstellungen.
Bitte sende deine Bewerbung per E-Mail an jobs@orpheus-it.com.
For our customer, we are looking for a Big Data Analyst (m / f) for Finance & Accounting with Finance & Accounting know-how .
design and create reports representing the business performance at module, account, country, regional, and area levels
- Design and establish area-wide monitoring algorithms to alert regional and area staff on performance variations and trends
propose action plans for course corrections based on instrument data analytics
assist regional finance / accounting departments in answering questions related to the analytics of their instrument data
assist in analyzing specific data sets and in the implementation and promotion of new systems, tools and procedures
- work closely with the other smart center specialists, becoming integrated part of an existing high-performance expert team - exclusively representing commercial data analytics skills:
background in finance with
strong affinity to information technology and statistics
specific interest in data analytics
improvement of organizational performance
multicultural awareness
very good communication skills in English
ability to set priorities and to maintain focus in a highly dynamic environment
self-driven ability to work as a member of international teams
Knowledge of and operational experience within finance & accounting
experience with large organizations finance software tools and systems, as well as software used for analysis and visualization of large data sets such as Tableau, JMP, etc.
understanding of countries and structures in Europe, Middle East and Africa
16/09/2019
Full time
For our customer, we are looking for a Big Data Analyst (m / f) for Finance & Accounting with Finance & Accounting know-how .
design and create reports representing the business performance at module, account, country, regional, and area levels
- Design and establish area-wide monitoring algorithms to alert regional and area staff on performance variations and trends
propose action plans for course corrections based on instrument data analytics
assist regional finance / accounting departments in answering questions related to the analytics of their instrument data
assist in analyzing specific data sets and in the implementation and promotion of new systems, tools and procedures
- work closely with the other smart center specialists, becoming integrated part of an existing high-performance expert team - exclusively representing commercial data analytics skills:
background in finance with
strong affinity to information technology and statistics
specific interest in data analytics
improvement of organizational performance
multicultural awareness
very good communication skills in English
ability to set priorities and to maintain focus in a highly dynamic environment
self-driven ability to work as a member of international teams
Knowledge of and operational experience within finance & accounting
experience with large organizations finance software tools and systems, as well as software used for analysis and visualization of large data sets such as Tableau, JMP, etc.
understanding of countries and structures in Europe, Middle East and Africa
About us:
Elucidate is a Berlin-based startup RegTech / RiskTech building an innovative SaaS-based solution for Financial Crime (FinCrime) risk management. In short, we are providing a risk-minimization risk management platform that minimizes the risk of money laundering, corruption and terrorist financing, while ensuring strong international connectivity.
You want to be doing:
Establishing and vetting FinCrime data sources for analysis, including the use of proxy data sources
Creating production pipelines for machine learning models
Research new big data technologies and techniques for production in cloud services
Extending data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Operating effectively across all aspects of the companys operations
Providing leadership, training, coaching, and guidance to junior staff
Youre curious and interested in highly regulated products
Worked in a bank and a startup before
Experience with ETL processes and unstructured data
Experience with cloud solutions
Good scripting and programming skills, preferably in python
Good understanding of machine learning production components
Exposure to FinCrime risk management, or a comparable function such as Op Risk, Credit Risk, etc.
Experience in development of machine learning models would be a plus Experience with common data science toolkits is a plus Familiarity with Google Cloud Platform is a plus
16/09/2019
Full time
About us:
Elucidate is a Berlin-based startup RegTech / RiskTech building an innovative SaaS-based solution for Financial Crime (FinCrime) risk management. In short, we are providing a risk-minimization risk management platform that minimizes the risk of money laundering, corruption and terrorist financing, while ensuring strong international connectivity.
You want to be doing:
Establishing and vetting FinCrime data sources for analysis, including the use of proxy data sources
Creating production pipelines for machine learning models
Research new big data technologies and techniques for production in cloud services
Extending data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant to building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Operating effectively across all aspects of the companys operations
Providing leadership, training, coaching, and guidance to junior staff
Youre curious and interested in highly regulated products
Worked in a bank and a startup before
Experience with ETL processes and unstructured data
Experience with cloud solutions
Good scripting and programming skills, preferably in python
Good understanding of machine learning production components
Exposure to FinCrime risk management, or a comparable function such as Op Risk, Credit Risk, etc.
Experience in development of machine learning models would be a plus Experience with common data science toolkits is a plus Familiarity with Google Cloud Platform is a plus
For more than 100 years, we have been merging technology and everyday life as a company. The future begins with us. Tools AWS Apache Kafka Hadoop Java NoSQL Tableau Scala Salary 70K EUR - 80K EUR With more than 100 years of professional experience and over 100,000 employees, our customers are among the few companies that have been setting trends for decades and are seen as a catalyst for progress and people. , OB IOT or self-driving cars, from the firewall, has always been fiddled with the future. For my clients, CRM, BI, and Data Science teams are making AI a reality today. More than 170 databases and 307 servers worldwide ensure a unique customer experience in real time. In order to do justice to the speed of the digital transformation, the data infrastructure is being restructured on a cloud level as part of a million-dollar package. tasks Design and implementation of data integration components to support data-driven applications and data science projects. Analysis and processing of structured and unstructured data sources. Design and implementation of APIs and systems to enable high- performance use of data. Continuous data quality assurance and policy development Improve Quality Using Big Data Tools such as Spark, Elasticsearch, Hadoop, Kafka, Impala, ... Build Scalable Software and Applications with Python, Scala, and JavaScript Manage and develop existing technologies in collaboration with your team profile Completed university studies in computer science, business informatics or a comparable degree program First professional experience in the development of backend applications, ideally for highly scaled systems Hute knowledge in relational and NoSQL database systems (eg PostgreSQL, MongoDB, Elasticsearch etc.) "Know How" in Big Data Ingestion / ETL processes and technologies (eg Flume, Kafka, Python, Scala ...) Knowledge of big data infrastructures (especially Hadoop, Spark, Impala, Hive) Very good knowledge of SQL Desirable knowledge of common web technologies (eg JavaScript, Python ) Goodies Questions Max Mustermann Data Engineering Consultant 030 8940 2566 info@flint-data.com
16/09/2019
Full time
For more than 100 years, we have been merging technology and everyday life as a company. The future begins with us. Tools AWS Apache Kafka Hadoop Java NoSQL Tableau Scala Salary 70K EUR - 80K EUR With more than 100 years of professional experience and over 100,000 employees, our customers are among the few companies that have been setting trends for decades and are seen as a catalyst for progress and people. , OB IOT or self-driving cars, from the firewall, has always been fiddled with the future. For my clients, CRM, BI, and Data Science teams are making AI a reality today. More than 170 databases and 307 servers worldwide ensure a unique customer experience in real time. In order to do justice to the speed of the digital transformation, the data infrastructure is being restructured on a cloud level as part of a million-dollar package. tasks Design and implementation of data integration components to support data-driven applications and data science projects. Analysis and processing of structured and unstructured data sources. Design and implementation of APIs and systems to enable high- performance use of data. Continuous data quality assurance and policy development Improve Quality Using Big Data Tools such as Spark, Elasticsearch, Hadoop, Kafka, Impala, ... Build Scalable Software and Applications with Python, Scala, and JavaScript Manage and develop existing technologies in collaboration with your team profile Completed university studies in computer science, business informatics or a comparable degree program First professional experience in the development of backend applications, ideally for highly scaled systems Hute knowledge in relational and NoSQL database systems (eg PostgreSQL, MongoDB, Elasticsearch etc.) "Know How" in Big Data Ingestion / ETL processes and technologies (eg Flume, Kafka, Python, Scala ...) Knowledge of big data infrastructures (especially Hadoop, Spark, Impala, Hive) Very good knowledge of SQL Desirable knowledge of common web technologies (eg JavaScript, Python ) Goodies Questions Max Mustermann Data Engineering Consultant 030 8940 2566 info@flint-data.com
Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US. We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day. Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year. We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. Klarna strives to become the world's favorite way to buy.You can contribute to reaching this goal!We are looking to hire great people, who are passionate about using their talents to generate success. Data engineering is no exception! We are currently looking to grow our Data Domain to comply with the law. What you want to do Data management, data warehousing, real time decisioning pipelines to frameworks for data quality measures. As a data engineer you will typically take on the role of building pipelines, data warehouse, data frameworks or different data presentation techniques. Your stakeholders wants to be Data Scientists, Business Analysts, other Engineers Insights and all Klarna employees in their daily work. We have amazing teams that take care of and become experts in different parts of the world. Some of the languages we use are Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, Apache Airflow, MS SQL, Qlik Sense, Postgres, Java, Scala, different NoSQL DB: s and we are always looking for the most efficient tools for the job
Who are you
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You want to go to the next level, you should go to the top of the page and beyond! At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
You should have
Relevant education with a degree in engineering or comparable skills
Experience as a Data Engineer or comparable positions
Experience in some or all of the technologies we use; Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, MS SQL, Qlik Sense, Postgres, Java, Scala, NoSQL DB: s
Working proficiency and communication skills in verbal and written English
A burning curiosity and interest in data, fast data, big data, dark data, data governance, data models, data warehouse, data insights - or all of the above!
How to apply Send over a CV and cover letter in English.
16/09/2019
Full time
Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US. We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day. Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year. We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. Klarna strives to become the world's favorite way to buy.You can contribute to reaching this goal!We are looking to hire great people, who are passionate about using their talents to generate success. Data engineering is no exception! We are currently looking to grow our Data Domain to comply with the law. What you want to do Data management, data warehousing, real time decisioning pipelines to frameworks for data quality measures. As a data engineer you will typically take on the role of building pipelines, data warehouse, data frameworks or different data presentation techniques. Your stakeholders wants to be Data Scientists, Business Analysts, other Engineers Insights and all Klarna employees in their daily work. We have amazing teams that take care of and become experts in different parts of the world. Some of the languages we use are Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, Apache Airflow, MS SQL, Qlik Sense, Postgres, Java, Scala, different NoSQL DB: s and we are always looking for the most efficient tools for the job
Who are you
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You want to go to the next level, you should go to the top of the page and beyond! At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
You should have
Relevant education with a degree in engineering or comparable skills
Experience as a Data Engineer or comparable positions
Experience in some or all of the technologies we use; Kafka, Hadoop, Spark, AWS Redshift, AWS Glue, MS SQL, Qlik Sense, Postgres, Java, Scala, NoSQL DB: s
Working proficiency and communication skills in verbal and written English
A burning curiosity and interest in data, fast data, big data, dark data, data governance, data models, data warehouse, data insights - or all of the above!
How to apply Send over a CV and cover letter in English.
Real Time" starts here in the backend and underlines our company philosophy Tools Hadoop Python Spark MongoDB HBase MySQL NoSQL Salary 85K EUR - 95K EUR My customer is one of the largest & highest-revenue companies in the world and is considered a figurehead for customer-centric experiences. With the success in the back one starts now a new venture in the FMCG range, which should umkrempeln the market. Here again the in-house "tech solution" should make the difference. In this sense, my customer continues to expand his expertise in the fields of BI, CRM, Data Science. As a result, Scalibilty and big data infrastructures are one of the cornerstones of the success of the venture. Become part of a multinational team with HQs in London, New York, Madrid, Cape Town, Tokyo & Berlin and create tomorrow's tomorrow today. Tasks Development of end-to-end big data solutions along the global group using state-of-the-art technologies (Hadoop, Spark, etc.) Evaluation and processing of huge amounts of structured and unstructured data Design & implementation of data models, data streams and APIs to enable a "Data Driven Culture " Ensuring and improving data quality Standardization of Big Data models for productive use Consulting in technology selection Working in self-organized, agile cross-functional teams with a lot of creative freedom and close cooperation with departments Intensive dialogue and training opportunities of personal, methodical and technical excellence Profile University studies eg in Computer Science, Mathematics Physics; Gladly also committed newcomers At least! 2 years practical experience in Big Data Very good knowledge of Java, Scala or Python Good understanding of MapReduce; ideally practical experience with the Hadoop stack, Apache Spark, Apache Flink, Google Data Flow "know how" and interest on AI Integrated software technologies and frameworks are such as Spring, Maven, Git, ItelliJ, CI, CD, Docker are you familiar Good Knowledge in SQL and NoSQL databases, eg PostgreSQL, Apache HBase, Apache Cassandra, MongoDB Experience in messaging systems, such as Apache Kafka Goodies Home Office Training Running Group Hardware Private Insurance Questions Max Mustermann Data Engineering Consultant 030 89 40 25 66 info @ flint -data.com
16/09/2019
Full time
Real Time" starts here in the backend and underlines our company philosophy Tools Hadoop Python Spark MongoDB HBase MySQL NoSQL Salary 85K EUR - 95K EUR My customer is one of the largest & highest-revenue companies in the world and is considered a figurehead for customer-centric experiences. With the success in the back one starts now a new venture in the FMCG range, which should umkrempeln the market. Here again the in-house "tech solution" should make the difference. In this sense, my customer continues to expand his expertise in the fields of BI, CRM, Data Science. As a result, Scalibilty and big data infrastructures are one of the cornerstones of the success of the venture. Become part of a multinational team with HQs in London, New York, Madrid, Cape Town, Tokyo & Berlin and create tomorrow's tomorrow today. Tasks Development of end-to-end big data solutions along the global group using state-of-the-art technologies (Hadoop, Spark, etc.) Evaluation and processing of huge amounts of structured and unstructured data Design & implementation of data models, data streams and APIs to enable a "Data Driven Culture " Ensuring and improving data quality Standardization of Big Data models for productive use Consulting in technology selection Working in self-organized, agile cross-functional teams with a lot of creative freedom and close cooperation with departments Intensive dialogue and training opportunities of personal, methodical and technical excellence Profile University studies eg in Computer Science, Mathematics Physics; Gladly also committed newcomers At least! 2 years practical experience in Big Data Very good knowledge of Java, Scala or Python Good understanding of MapReduce; ideally practical experience with the Hadoop stack, Apache Spark, Apache Flink, Google Data Flow "know how" and interest on AI Integrated software technologies and frameworks are such as Spring, Maven, Git, ItelliJ, CI, CD, Docker are you familiar Good Knowledge in SQL and NoSQL databases, eg PostgreSQL, Apache HBase, Apache Cassandra, MongoDB Experience in messaging systems, such as Apache Kafka Goodies Home Office Training Running Group Hardware Private Insurance Questions Max Mustermann Data Engineering Consultant 030 89 40 25 66 info @ flint -data.com
Are you ready to jumpstart your career in a fast-paced and innovative digital health company? We are searching for a Jr. Data Scientist who wants to work in our Berlin & Potsdam, Germany driven diagnoses, supervised by doctors. About Us: We at Medlanes are building the gateway to medicine, the way health care should work, by combining in-person and digital treatments. The "in-person" layer is being built and is currently available for doctor visit 24/7 in 20+ cities with 500+ doctors from Medlanes. The next big challenge is building the "digital" layer. And we know that we could not do it without our awesome employees. We believe in a 360 degree approach that starts with digital consultations, supported by AI, that does not stop as soon as a physical examination or blood tests are needed. In this case, we would send one of our 500+ doctors to the home of the patient. In this way, Medlanes is managing the full medical care. Our mission is 24/7 access to affordable healthcare enabled by AI! We are pleased to announce that we are pleased to announce that we have received several grants from Bayer HealthCare, supported and funded by major venture capitalists, as well as European insurances like AXA. You want:
Work on predictive intelligence, forecasting, natural language processing or computer vision.
Write codes in Python.
Work in an international team and collaborate on the programming tasks.
You have:
Minimum 0.5 Year of General Experience in Data Science, Machine Learning or Data Mining.
Minimum 1 Year of Experience with Python.
Good to have knowledge of Python libraries Pandas, NumPy.
Worked with APIs, Databases and Git.
What we offer:
Apply and Enhance your knowledge in the medical space with real cases and help real people.
You'll get the opportunity to build it.
You'll work in one of the hottest startup sectors, as part of a young and enthusiastic team.
How to Apply: You think you're the one we're looking for? Send us your English Application (CV + Cover Letter) with the details of your Work Experience and Skills. So, tell us your earliest start date and how to find our job posting. Your contact person is Erik Stoffregen (CEO & Co-Founder). We are excited to get to know you!
16/09/2019
Full time
Are you ready to jumpstart your career in a fast-paced and innovative digital health company? We are searching for a Jr. Data Scientist who wants to work in our Berlin & Potsdam, Germany driven diagnoses, supervised by doctors. About Us: We at Medlanes are building the gateway to medicine, the way health care should work, by combining in-person and digital treatments. The "in-person" layer is being built and is currently available for doctor visit 24/7 in 20+ cities with 500+ doctors from Medlanes. The next big challenge is building the "digital" layer. And we know that we could not do it without our awesome employees. We believe in a 360 degree approach that starts with digital consultations, supported by AI, that does not stop as soon as a physical examination or blood tests are needed. In this case, we would send one of our 500+ doctors to the home of the patient. In this way, Medlanes is managing the full medical care. Our mission is 24/7 access to affordable healthcare enabled by AI! We are pleased to announce that we are pleased to announce that we have received several grants from Bayer HealthCare, supported and funded by major venture capitalists, as well as European insurances like AXA. You want:
Work on predictive intelligence, forecasting, natural language processing or computer vision.
Write codes in Python.
Work in an international team and collaborate on the programming tasks.
You have:
Minimum 0.5 Year of General Experience in Data Science, Machine Learning or Data Mining.
Minimum 1 Year of Experience with Python.
Good to have knowledge of Python libraries Pandas, NumPy.
Worked with APIs, Databases and Git.
What we offer:
Apply and Enhance your knowledge in the medical space with real cases and help real people.
You'll get the opportunity to build it.
You'll work in one of the hottest startup sectors, as part of a young and enthusiastic team.
How to Apply: You think you're the one we're looking for? Send us your English Application (CV + Cover Letter) with the details of your Work Experience and Skills. So, tell us your earliest start date and how to find our job posting. Your contact person is Erik Stoffregen (CEO & Co-Founder). We are excited to get to know you!
A career at Lilium is for those who want to do something extraordinary. Every day we are pushing the very boundaries of technology and customer experience to deliver something that has never been done before. What are we doing here? By joining Lilium you will have the opportunity to work with our world-class team of more than 300 leaders, experts and engineers who are passionate about changing the world as you are. So we 're passionate about diversity: we want you to come as you are, no matter your background. As long as you share our desire to push the limits of what's possible, you'll be right in. Your role and your team: We are looking for an outstanding battery engineer or scientist to join our innovative team that wants to shape the future of urban e-mobility. Our Energy Storage team is responsible for the full lifecycle of our energy storage systems, from design to maintenance and management of energy consumed across all components and in our cabin. We are building a world-class team that wants to work across topics such as component design, thermal and air conditioning, power and battery management, battery cell engineering, testing and high voltage battery management. As part of the Cell and Battery Technology team within the Energy Systems department, you want to have complete ownership with end-to-end responsibility of battery data management. You want to develop the necessary tools for advanced analytics and deliver actionable insights into battery performance and lifetime. Your work wants to be innovative in the development of an innovative energy storage system that meets challenging performance, mass and size targets. Focused, efficient and proactive thinking to develop effective and creative interface solutions. Having great ideas and the ability to implement them, you will find the perfect place to work at Lilium. Your Day to Day:
Development of scalable pipelines for multi-level battery data originating from prototypes, field units and other sources
End-to-end responsibility for data storage, querying, aggregation, analysis and visualization
Application of advanced data analytics, such as machine learning, for continuous improvement of battery performance and lifetime
Close cooperation with fellow battery engineers for data requirements in support of design, simulation and test activities
Support the development of series production processes and process standardization across departments
Work on any ad hoc related projects or tasks to support our fast-paced development activities
Your Profile:
Master's degree or higher in Computer Science, Statistics, Engineering or related field
3+ years of end-to-end experience with large-scale structured data (industry or academic)
Extensive experience in statistical analysis, artificial intelligence and data visualization
Working knowledge of battery performance indicators and time estimation techniques
Experience with MATLAB / Simulink required
Experience in lithium-ion battery modeling and characterization would be beneficial
Experience with Apache Spark, Hadoop, Cassandra or other big data technologies would be beneficial
Strong motivation to help build structures and processes
High level of self-reliance with the ability to work in a team, as well as autonomous
Target-oriented, driven workstyle with analytic problem-solving skills are required
Fluent English language skills are essential, fluent German or any other language would be beneficial
Life at Lilium: Our HQ is designed to make Lilium work as comfortable as possible. We've got the basics covered with parking and free transport links to local stations, but it's also a place to work with, with shared working spaces, rooms with sofas and hammocks, and a rooftop terrace day long. Finally, we're buried in the idea that your health is central to your happiness, so we've invested in extensive gymnastics, free yoga sessions, bikes you can to cycle around our campus, a relaxation room and three free meals a day. relocating: In order to build a world-class team, we welcome people from all over the world. From free language tuition to relocation assistance and visa sponsorship, we'll support you on every step of your journey. Lilium is an equal opportunity or ethnicity, sex, disability, religion / belief, sexual orientation or age.
16/09/2019
Full time
A career at Lilium is for those who want to do something extraordinary. Every day we are pushing the very boundaries of technology and customer experience to deliver something that has never been done before. What are we doing here? By joining Lilium you will have the opportunity to work with our world-class team of more than 300 leaders, experts and engineers who are passionate about changing the world as you are. So we 're passionate about diversity: we want you to come as you are, no matter your background. As long as you share our desire to push the limits of what's possible, you'll be right in. Your role and your team: We are looking for an outstanding battery engineer or scientist to join our innovative team that wants to shape the future of urban e-mobility. Our Energy Storage team is responsible for the full lifecycle of our energy storage systems, from design to maintenance and management of energy consumed across all components and in our cabin. We are building a world-class team that wants to work across topics such as component design, thermal and air conditioning, power and battery management, battery cell engineering, testing and high voltage battery management. As part of the Cell and Battery Technology team within the Energy Systems department, you want to have complete ownership with end-to-end responsibility of battery data management. You want to develop the necessary tools for advanced analytics and deliver actionable insights into battery performance and lifetime. Your work wants to be innovative in the development of an innovative energy storage system that meets challenging performance, mass and size targets. Focused, efficient and proactive thinking to develop effective and creative interface solutions. Having great ideas and the ability to implement them, you will find the perfect place to work at Lilium. Your Day to Day:
Development of scalable pipelines for multi-level battery data originating from prototypes, field units and other sources
End-to-end responsibility for data storage, querying, aggregation, analysis and visualization
Application of advanced data analytics, such as machine learning, for continuous improvement of battery performance and lifetime
Close cooperation with fellow battery engineers for data requirements in support of design, simulation and test activities
Support the development of series production processes and process standardization across departments
Work on any ad hoc related projects or tasks to support our fast-paced development activities
Your Profile:
Master's degree or higher in Computer Science, Statistics, Engineering or related field
3+ years of end-to-end experience with large-scale structured data (industry or academic)
Extensive experience in statistical analysis, artificial intelligence and data visualization
Working knowledge of battery performance indicators and time estimation techniques
Experience with MATLAB / Simulink required
Experience in lithium-ion battery modeling and characterization would be beneficial
Experience with Apache Spark, Hadoop, Cassandra or other big data technologies would be beneficial
Strong motivation to help build structures and processes
High level of self-reliance with the ability to work in a team, as well as autonomous
Target-oriented, driven workstyle with analytic problem-solving skills are required
Fluent English language skills are essential, fluent German or any other language would be beneficial
Life at Lilium: Our HQ is designed to make Lilium work as comfortable as possible. We've got the basics covered with parking and free transport links to local stations, but it's also a place to work with, with shared working spaces, rooms with sofas and hammocks, and a rooftop terrace day long. Finally, we're buried in the idea that your health is central to your happiness, so we've invested in extensive gymnastics, free yoga sessions, bikes you can to cycle around our campus, a relaxation room and three free meals a day. relocating: In order to build a world-class team, we welcome people from all over the world. From free language tuition to relocation assistance and visa sponsorship, we'll support you on every step of your journey. Lilium is an equal opportunity or ethnicity, sex, disability, religion / belief, sexual orientation or age.
Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US. We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day. Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year. We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. We at Klarna are looking for driven and energetic Data Engineers who so happen to like Python in order to join our engineering hub in Berlin. Reduce the friction you are facing when you purchase goods online. Our secret to achieve this is our ability to provide credit in real-time. If you want to learn more about how to do it, there is a great opportunity to join us, aim for awesomeness and write history. We are currently serving 80 million customers and are growing 40% annually, so there are very big opportunities in one of the few profitable unicorns out there.
Who are you
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment.
You want to go to the next level, you should go to the top of the page and beyond!
At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
What we expect from you
Drive, this is an essential attribute if you want to thrive in Klarna's fast moving environment
Optimism, being a source of can-do optimism, wants to be decisive for the whole undertaking and the teams you want to be collaborating
Passion about building data platforms and pipelines
Develop and optimize a unified data landscape from architecture to development and optimization in a distributed infrastructure
Build, maintain and improve the availability of historical, real time and third party data pipelines
Continuously improving our ELT and ETL processes for the data lakes and data warehouses behind
Provide Analysts, Product Managers and BI with Complex, large scaled data storage from various data resources
Knowledge of the big data tool landscape
Knowledge of Python or another commercial language used for data processing like Scala
You should have
Relevant experience in scripting and programming using Python
Expert knowledge of SQL and some knowledge / understanding of NoSQL or Postgres
Proven record in the creation, maintenance and improvement of ETL and ELT processes
Experience with interfaces search as RESTful APIs or RSBScript
A very strong technical as well as analytical background
A proven record of working within distributed infrastructures and experience in cloud technology
What you can expect from us
A competent compensation package based on your skill level
6 weeks of paid holidays
A virtually unlimited potential to develop and grow, both personally and professionally
Unlimited budget for personal development, including books, conferences and workshops
Amazing relocation package to Berlin, Germany
Generous pension and insurance plans
Code in your spare time? Great, send a link to some of your work. We'd love to take a look. Here's some of our work https://github.com/klarna Klarna is an equal opportunity workplace. Status, disability, gender identity or veteran status. If you have a disability or special need that accommodation, please let us know. If it sounds good, go ahead and contact us! We are looking forward to hearing from you!
16/09/2019
Full time
Klarna's mission is to free people from all manner of managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do. Klarna was born in Stockholm in 2005 and today has 2500 employees across Europe and the US. We currently serve 60 million consumers, working together with 130,000 merchants and process more than one million payment transactions a day. Visa, Atomico, Sequoia Capital, Permira and Bestseller group / Anders Holch Povlsen. We're growing 40% every year. We have strong partnerships with some of the world's leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify. We at Klarna are looking for driven and energetic Data Engineers who so happen to like Python in order to join our engineering hub in Berlin. Reduce the friction you are facing when you purchase goods online. Our secret to achieve this is our ability to provide credit in real-time. If you want to learn more about how to do it, there is a great opportunity to join us, aim for awesomeness and write history. We are currently serving 80 million customers and are growing 40% annually, so there are very big opportunities in one of the few profitable unicorns out there.
Who are you
Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment.
You want to go to the next level, you should go to the top of the page and beyond!
At Klarna we embrace change, you should dare to challenge the status quo and be persistent.
What we expect from you
Drive, this is an essential attribute if you want to thrive in Klarna's fast moving environment
Optimism, being a source of can-do optimism, wants to be decisive for the whole undertaking and the teams you want to be collaborating
Passion about building data platforms and pipelines
Develop and optimize a unified data landscape from architecture to development and optimization in a distributed infrastructure
Build, maintain and improve the availability of historical, real time and third party data pipelines
Continuously improving our ELT and ETL processes for the data lakes and data warehouses behind
Provide Analysts, Product Managers and BI with Complex, large scaled data storage from various data resources
Knowledge of the big data tool landscape
Knowledge of Python or another commercial language used for data processing like Scala
You should have
Relevant experience in scripting and programming using Python
Expert knowledge of SQL and some knowledge / understanding of NoSQL or Postgres
Proven record in the creation, maintenance and improvement of ETL and ELT processes
Experience with interfaces search as RESTful APIs or RSBScript
A very strong technical as well as analytical background
A proven record of working within distributed infrastructures and experience in cloud technology
What you can expect from us
A competent compensation package based on your skill level
6 weeks of paid holidays
A virtually unlimited potential to develop and grow, both personally and professionally
Unlimited budget for personal development, including books, conferences and workshops
Amazing relocation package to Berlin, Germany
Generous pension and insurance plans
Code in your spare time? Great, send a link to some of your work. We'd love to take a look. Here's some of our work https://github.com/klarna Klarna is an equal opportunity workplace. Status, disability, gender identity or veteran status. If you have a disability or special need that accommodation, please let us know. If it sounds good, go ahead and contact us! We are looking forward to hearing from you!
Job description
We are looking for a Data Engineer to join our Tech team located at the Applift HQ in Berlin-Mitte. You want to work in a startup atmosphere with a dynamic team and want to make an impact in the growing market of ad-tech and mobile advertising.
Who are we
Applift is a leading mobile ad business company that empowers to connect with and activate customers in a mobile-first world by creating the next-generation platform for advertisers to reach and convert their audiences to mobile. Applift's solutions are designed to deliver results at every point of the customer journey. Through Applicant's Mobile Advertising Solution, app advertisers across the globe can connect with their audiences, acquire and re-engage existing users. More information: applift.com
Responsibilities
Design, develop and implement data ingestions and streaming processes together with our BI and analytics team
Design and improve our data processes and architectures with cutting edge technologies to streamline and analyze massive data flows from our existing backend infrastructure or external sources
Translate business needs into technical requirements for new projects
Take responsibility for managing our data structure, data availability and reliability / quality
Maintain, explore and evaluate the implementation of new technologies to address infrastructure scalability and performance challenges
*
2+ years hands-on experience as a data engineer with focus on Python
Extensive knowledge of databases, DWH and best engineering practices
Solid knowledge of SQL with one or more databases: Postgres / MySQL / Oracle / SQL Server
Experience in orchestration solutions search as Jenkins and airflow
Experience working with Big Query, GCS and GCP solutions is a plus
Ability to explain complex concepts to non-technical stakeholders and other team members
Deep understanding of data warehousing, ETL concepts and BI tools.
Be a team player and do not mind "getting your hands dirty" to support others
Think big and have a passion for achievement
Experience in deployment tools, GIT
What we offer
Enjoy a competitive salary package and benefit from a tailored career development path
Take responsibility from day one and manage projects that will have a significant impact on Applift's success
Be part of a multicultural team (30+ nationalities) that is bringing mobile advertising to the next level
Health Insurance
Work from home opportunity
Benefit from working with some of the most experienced professionals of our industry and constantly grow with us
Join one of the top mobile advertising companies worldwide
16/09/2019
Full time
Job description
We are looking for a Data Engineer to join our Tech team located at the Applift HQ in Berlin-Mitte. You want to work in a startup atmosphere with a dynamic team and want to make an impact in the growing market of ad-tech and mobile advertising.
Who are we
Applift is a leading mobile ad business company that empowers to connect with and activate customers in a mobile-first world by creating the next-generation platform for advertisers to reach and convert their audiences to mobile. Applift's solutions are designed to deliver results at every point of the customer journey. Through Applicant's Mobile Advertising Solution, app advertisers across the globe can connect with their audiences, acquire and re-engage existing users. More information: applift.com
Responsibilities
Design, develop and implement data ingestions and streaming processes together with our BI and analytics team
Design and improve our data processes and architectures with cutting edge technologies to streamline and analyze massive data flows from our existing backend infrastructure or external sources
Translate business needs into technical requirements for new projects
Take responsibility for managing our data structure, data availability and reliability / quality
Maintain, explore and evaluate the implementation of new technologies to address infrastructure scalability and performance challenges
*
2+ years hands-on experience as a data engineer with focus on Python
Extensive knowledge of databases, DWH and best engineering practices
Solid knowledge of SQL with one or more databases: Postgres / MySQL / Oracle / SQL Server
Experience in orchestration solutions search as Jenkins and airflow
Experience working with Big Query, GCS and GCP solutions is a plus
Ability to explain complex concepts to non-technical stakeholders and other team members
Deep understanding of data warehousing, ETL concepts and BI tools.
Be a team player and do not mind "getting your hands dirty" to support others
Think big and have a passion for achievement
Experience in deployment tools, GIT
What we offer
Enjoy a competitive salary package and benefit from a tailored career development path
Take responsibility from day one and manage projects that will have a significant impact on Applift's success
Be part of a multicultural team (30+ nationalities) that is bringing mobile advertising to the next level
Health Insurance
Work from home opportunity
Benefit from working with some of the most experienced professionals of our industry and constantly grow with us
Join one of the top mobile advertising companies worldwide
Location: MunichRequisition ID: 1708
Discover Your Passion for the World of Banknotes. G + D Currency Technology is a market leader in creating innovative solutions for banknotes and banknote processing systems. We are a trusted partner to central banks and the currency industry, increasing security and efficiency in the money cycle. As part of Giesecke + Devrient Group, we offer a wide range of development opportunities in an international, family owned company that has more than 11,000 employees worldwide. In addition to competitive remuneration, you can expect an excellent package of benefits and flexible working conditions.
Work with us on Big Data Engineering to offer innovative digital solutions to our worldwide customers of central and commercial banks.
Your task:
As an expert in data engineering, you are responsible for the development of new digital solutions and work, for example, on our digital backbone, digital twins and data strategy models
You will be responsible for the design, implementation and operation of effective data processing architectures within our innovative microservices and cloud-based data analytics, IoT and digital solutions
Further tasks include ingestion, integration, organization, batch and stream processing as well as lifecycle management of data
Ensuring the quality, integrity and privacy of the data are other important elements
You are responsible for setting up and monitoring the database clusters in the DevOps paradigm: "You build it - you run it"
You can expect close collaboration in agile teams with data analysts, developers and product owners for digital products and for customer projects
Your profile:
You have completed a Masters degree in computer science or a comparable subject area
Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling ( Oozie, Pig)
You have more than 5 years experience in the development and operation of large-scale data processing pipelines in scalable microservice / REST architectures
Experience in cloud environments like Microsoft Azure or AWS is needed
You have a high level of analytical ability and enjoy working independently
In addition to a high motivation for the task, you are characterized by a structured way of working and the joy of working in interdisciplinary teams
You have a good command of German and a very good command of English, both written and spoken
We are looking forward to receiving your application!
G + D Currency Technology GmbHPrinzregentenstrasse 159, 81677 Munichwww.gi-de.com/join-ctCT_meeting_mfWe are shaping the future of currency based on 160
16/09/2019
Full time
Location: MunichRequisition ID: 1708
Discover Your Passion for the World of Banknotes. G + D Currency Technology is a market leader in creating innovative solutions for banknotes and banknote processing systems. We are a trusted partner to central banks and the currency industry, increasing security and efficiency in the money cycle. As part of Giesecke + Devrient Group, we offer a wide range of development opportunities in an international, family owned company that has more than 11,000 employees worldwide. In addition to competitive remuneration, you can expect an excellent package of benefits and flexible working conditions.
Work with us on Big Data Engineering to offer innovative digital solutions to our worldwide customers of central and commercial banks.
Your task:
As an expert in data engineering, you are responsible for the development of new digital solutions and work, for example, on our digital backbone, digital twins and data strategy models
You will be responsible for the design, implementation and operation of effective data processing architectures within our innovative microservices and cloud-based data analytics, IoT and digital solutions
Further tasks include ingestion, integration, organization, batch and stream processing as well as lifecycle management of data
Ensuring the quality, integrity and privacy of the data are other important elements
You are responsible for setting up and monitoring the database clusters in the DevOps paradigm: "You build it - you run it"
You can expect close collaboration in agile teams with data analysts, developers and product owners for digital products and for customer projects
Your profile:
You have completed a Masters degree in computer science or a comparable subject area
Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling ( Oozie, Pig)
You have more than 5 years experience in the development and operation of large-scale data processing pipelines in scalable microservice / REST architectures
Experience in cloud environments like Microsoft Azure or AWS is needed
You have a high level of analytical ability and enjoy working independently
In addition to a high motivation for the task, you are characterized by a structured way of working and the joy of working in interdisciplinary teams
You have a good command of German and a very good command of English, both written and spoken
We are looking forward to receiving your application!
G + D Currency Technology GmbHPrinzregentenstrasse 159, 81677 Munichwww.gi-de.com/join-ctCT_meeting_mfWe are shaping the future of currency based on 160
Amer Sports (www.amersports.com) is a sporting goods company with internationally recognised brands including Salomon, Wilson, Atomic, Arc'teryx, Mavic, Suunto, Peak Performance and Precor. The company's technically-advanced sports equipment, footwear and apparel improve performance and increase the enjoyment of sports and outdoor activities. The Group's business is balanced by its broad portfolio of sports and products and a presence in all major markets. Amer Sports shares are listed on the NASDAQ OMX Helsinki stock exchange (AMEAS). POSITION TITLE: Data Analyst LOCATION: Garching near Munich, Germany POSITION DESCRIPTION: As the Data Analyst, you want to gain business essential insights out of data. Amer Sports globally uses technology, process and people best practices to help with the adoption of a data-driven culture.
Working with multiple IT and Product Owners Stakeholders to interpret data analytics & BI needs and priorities
Being responsible to define and build the data model for analytics needs in Qlik
Monitoring and optimizing existing front-end applications
Playing a key role in the further evolution of Qlik and modern reporting by using latest technologies
Taking over responsibility for dashboard developing within project methodology SCRUM as well as long term development roadmap
Assisting and training key users working on Qlik
Creation of documentation of central elements together with business stakeholders
Participating in regressions tests for platform upgrades
For up to 30% of your work time support with following tasks:
Taking over 2nd / 3rd level support
Working as Data Engineer if necessary
YOUR PROFILES:
Data Warehouse modeling skills based on Qlik with a minimum of 1 year experience
Qlik script knowledge
Strong and thorough understanding of data analytics
Ability to evaluate technical systems performance and make recommendations for improvements
Planning and formulating technical solutions
Design background is helpful
SAP BW knowledge is helpful
Experience with SCRUM project methodology is helpful
Retail and / or sporting goods industry experience preferred
Fluent communication skills in German and English
REQUIRED COMPETENCIES:
Strong strategic, quantitative & problem solving skills
Team work skills
WHAT WE CAN DO FOR YOU:
Thrilling tasks in a challenging industry
Career progression opportunities
The opportunity for independent and self-reliant work
A friendly and vibrant working environment in a dynamic and international team (~ 10% International Travel)
Please submit your application online. When making the application please state your salary expectation related to this role.
13/09/2019
Full time
Amer Sports (www.amersports.com) is a sporting goods company with internationally recognised brands including Salomon, Wilson, Atomic, Arc'teryx, Mavic, Suunto, Peak Performance and Precor. The company's technically-advanced sports equipment, footwear and apparel improve performance and increase the enjoyment of sports and outdoor activities. The Group's business is balanced by its broad portfolio of sports and products and a presence in all major markets. Amer Sports shares are listed on the NASDAQ OMX Helsinki stock exchange (AMEAS). POSITION TITLE: Data Analyst LOCATION: Garching near Munich, Germany POSITION DESCRIPTION: As the Data Analyst, you want to gain business essential insights out of data. Amer Sports globally uses technology, process and people best practices to help with the adoption of a data-driven culture.
Working with multiple IT and Product Owners Stakeholders to interpret data analytics & BI needs and priorities
Being responsible to define and build the data model for analytics needs in Qlik
Monitoring and optimizing existing front-end applications
Playing a key role in the further evolution of Qlik and modern reporting by using latest technologies
Taking over responsibility for dashboard developing within project methodology SCRUM as well as long term development roadmap
Assisting and training key users working on Qlik
Creation of documentation of central elements together with business stakeholders
Participating in regressions tests for platform upgrades
For up to 30% of your work time support with following tasks:
Taking over 2nd / 3rd level support
Working as Data Engineer if necessary
YOUR PROFILES:
Data Warehouse modeling skills based on Qlik with a minimum of 1 year experience
Qlik script knowledge
Strong and thorough understanding of data analytics
Ability to evaluate technical systems performance and make recommendations for improvements
Planning and formulating technical solutions
Design background is helpful
SAP BW knowledge is helpful
Experience with SCRUM project methodology is helpful
Retail and / or sporting goods industry experience preferred
Fluent communication skills in German and English
REQUIRED COMPETENCIES:
Strong strategic, quantitative & problem solving skills
Team work skills
WHAT WE CAN DO FOR YOU:
Thrilling tasks in a challenging industry
Career progression opportunities
The opportunity for independent and self-reliant work
A friendly and vibrant working environment in a dynamic and international team (~ 10% International Travel)
Please submit your application online. When making the application please state your salary expectation related to this role.
The Role Zattoo is the leading player in the TV as a service space in Europe serving several million TV users and dozens of B2B customers, helping them what they want, where they want, when they want. We are looking for a BI analyst (f / m / x) with a technical mindset to support our teams to make the best data-informed decisions. You are looking for a team of experienced business people and business analysts. You should be able to understand business driven data problems as well as tech infrastructure and the data pipeline. What you'll do
6TB of data daily.
Collaborate closely with our Data Engineers to ensure quality and usability of data
Develop the data model, add new data sources and transform those into insights
Create automated reports and dashboards
Work in sprints and together with the BI team answer ad hoc requests and data related topics
Help foster a data-driven culture throughout the Zattoo team and apply best practices
What you'll bring
3+ years Experience as a Data or BI analyst
Ability to easily form and improve SQL queries (PostgreSQL)
Experience with data visualization through reports, dashboards or other tools (eg Tableau), and Microsoft Excel / Google Sheets
Hands-on mentality, solution-oriented and structured thinking, very analytical problem solver, high attention to detail
The ability and drive to self-organize and continuously improve things
Interest in high technical topics and a good feeling for large amounts of data
Knowledge in programming languages, preferably Bash and Python
Fluency in English
Bonus:
Experience with statistical methods
Experience with any of the following: Vertica, Google BigQuery, Google Analytics
Here's what we offer you
Highly motivated, growing, diverse team made up of 26 different nationalities
Flexible work schedules and options to work from home
Flat hierarchies and open door policy
Competitive compensation and vacation entitlement
Social events ranging from monthly pizza and drinks to daily three day off site company meetings
Free yoga classes, German language classes and health checks
️
The Product Team At the heart of Zattoo's organization there is a group of people who are extremely passionate about TV Products and Technology. This diverse group of engineers, product managers, designers, SRE, network, QA and support specialists covers a large area of expertise and is building our vision of the streaming age TV platform. We value high quality, user oriented and sustainable work and strive for the forefront of technology and collaboration. We encourage people to express their ideas and give autonomy and focus to independent teams. Our dream TV content is the simplest and most comfortable way. We see our strength in disrupting traditional broadcasting technology while collaborating closely with the great companies that produce this content. We're Zattoo Zattoo enables our users to view indiscriminately and we'll reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other disposition. We are an equal opportunities employer, join us and help build a diverse team dedicated to revolutionizing the way you watch TV. You can learn more about us at: https://zattoo.com Join us and become part of our Stream Team!
13/09/2019
Full time
The Role Zattoo is the leading player in the TV as a service space in Europe serving several million TV users and dozens of B2B customers, helping them what they want, where they want, when they want. We are looking for a BI analyst (f / m / x) with a technical mindset to support our teams to make the best data-informed decisions. You are looking for a team of experienced business people and business analysts. You should be able to understand business driven data problems as well as tech infrastructure and the data pipeline. What you'll do
6TB of data daily.
Collaborate closely with our Data Engineers to ensure quality and usability of data
Develop the data model, add new data sources and transform those into insights
Create automated reports and dashboards
Work in sprints and together with the BI team answer ad hoc requests and data related topics
Help foster a data-driven culture throughout the Zattoo team and apply best practices
What you'll bring
3+ years Experience as a Data or BI analyst
Ability to easily form and improve SQL queries (PostgreSQL)
Experience with data visualization through reports, dashboards or other tools (eg Tableau), and Microsoft Excel / Google Sheets
Hands-on mentality, solution-oriented and structured thinking, very analytical problem solver, high attention to detail
The ability and drive to self-organize and continuously improve things
Interest in high technical topics and a good feeling for large amounts of data
Knowledge in programming languages, preferably Bash and Python
Fluency in English
Bonus:
Experience with statistical methods
Experience with any of the following: Vertica, Google BigQuery, Google Analytics
Here's what we offer you
Highly motivated, growing, diverse team made up of 26 different nationalities
Flexible work schedules and options to work from home
Flat hierarchies and open door policy
Competitive compensation and vacation entitlement
Social events ranging from monthly pizza and drinks to daily three day off site company meetings
Free yoga classes, German language classes and health checks
️
The Product Team At the heart of Zattoo's organization there is a group of people who are extremely passionate about TV Products and Technology. This diverse group of engineers, product managers, designers, SRE, network, QA and support specialists covers a large area of expertise and is building our vision of the streaming age TV platform. We value high quality, user oriented and sustainable work and strive for the forefront of technology and collaboration. We encourage people to express their ideas and give autonomy and focus to independent teams. Our dream TV content is the simplest and most comfortable way. We see our strength in disrupting traditional broadcasting technology while collaborating closely with the great companies that produce this content. We're Zattoo Zattoo enables our users to view indiscriminately and we'll reflect that in our team too. Regardless of race, gender, sexual orientation, religion, national origin, age, disability or any other disposition. We are an equal opportunities employer, join us and help build a diverse team dedicated to revolutionizing the way you watch TV. You can learn more about us at: https://zattoo.com Join us and become part of our Stream Team!
ABOUT US Contentful (https://www.contentful.com/) provides content infrastructure for digitally powered websites, apps, and devices. Unlike a CMS, Contentful what to integrate with the modern software stack. It offers a central hub for structured content, powerful management and delivery APIs, and a customizable web app that enables developers and content creators to ship their products faster. Companies including Spotify, Red Bull, WeWork, Lyft, and Urban Outfitters rely on Content to manage content as part of their modern web stack. Contentful is growing rapidly, backed by $ 80 million in funding from VC firms including Benchmark and General Catalyst, and strategic investors including Sapphire Ventures (SAP) and Salesforce Ventures. 200 people from 44 nations, with offices in Berlin and San Francisco. Join us! As a Data Analyst (f / m) you want to help us deliver on our mandate by gathering good data and making it actionable. We want to contribute to the construction of a company, and we have a direct impact on it. responsabilities
You want to join our hybrid centralized / decentralized data team of data analysts, data engineers, and business analysts
You work with various teams on defining and enabling their data-assisted tactical workflows
You collaborate with team and department on leading business goals and measuring topics
You perform self-driven quantitative analysis, distill recommendations, and contribute to decision making
You model and develop datasets in our data warehouse and ETL pipelines
You contribute to improving and improving our data tools and infrastructure
You are actively involved in improving our agile feedback
You evangelize the value of data and insights at Contentful
REQUIREMENTS
You must have at least 1 to 2 years of experience working as a dedicated data analyst or data scientist
You must be fluent in SQL (we're currently using Redshift dialect)
You have used modern BI tools (we're currently using Redash and Looker)
You have worked in agile, cross-functional teams of data analysts, data engineers, data scientists, and business analysts
You have an understanding of data modeling patterns (state vs. event-based, data warehousing) and data pipelining (dataflow, ETL, storage)
You are familiar with programmatic data tools such as python / pandas or r / tidyverse (we're using both)
You have experience with source control (we're using git), continuous integration and continuous deployment workflows
You speak fluent English and possess excellent interpersonal communication skills
BENEFITS
Join an innovative tech company as we help drive the evolution of digital experiences to become ever-more ubiquitous and interactive. Build a modern architecture for mission-critical applications
Shape the future of Content: help us establish, scale, and improve our team's processes
Generous education budget complete with extra days off working on your professional and self-development
Be set up for success, equipped with the latest and greatest hardware
Hangout in one of our many shared spaces, playing games with colleagues or enjoying a full range of events, including workshops, on-site meetups, guest speakers, and fun events for the company and each team. Did we mention an annual off-site?
Sharpen your PlayStation, ping pong, and kicker / soccer skills during breaks in the day
As much artisan coffee as you can handle
Brush up your language skills! Our team speaks more than 20 languages, and we offer free German classes
Take a break and pat a pup, we are a dog-friendly office
We fully support your move to Berlin with a relocation budget and visa assistance. We'll help you settle into your exciting new city
Plus, Contentful socks (https://twitter.com/hashtag/contentsocks), oh yeah!
"Variety is the spice of life" - and a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. Race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, or disability. We look forward to your application!
13/09/2019
Full time
ABOUT US Contentful (https://www.contentful.com/) provides content infrastructure for digitally powered websites, apps, and devices. Unlike a CMS, Contentful what to integrate with the modern software stack. It offers a central hub for structured content, powerful management and delivery APIs, and a customizable web app that enables developers and content creators to ship their products faster. Companies including Spotify, Red Bull, WeWork, Lyft, and Urban Outfitters rely on Content to manage content as part of their modern web stack. Contentful is growing rapidly, backed by $ 80 million in funding from VC firms including Benchmark and General Catalyst, and strategic investors including Sapphire Ventures (SAP) and Salesforce Ventures. 200 people from 44 nations, with offices in Berlin and San Francisco. Join us! As a Data Analyst (f / m) you want to help us deliver on our mandate by gathering good data and making it actionable. We want to contribute to the construction of a company, and we have a direct impact on it. responsabilities
You want to join our hybrid centralized / decentralized data team of data analysts, data engineers, and business analysts
You work with various teams on defining and enabling their data-assisted tactical workflows
You collaborate with team and department on leading business goals and measuring topics
You perform self-driven quantitative analysis, distill recommendations, and contribute to decision making
You model and develop datasets in our data warehouse and ETL pipelines
You contribute to improving and improving our data tools and infrastructure
You are actively involved in improving our agile feedback
You evangelize the value of data and insights at Contentful
REQUIREMENTS
You must have at least 1 to 2 years of experience working as a dedicated data analyst or data scientist
You must be fluent in SQL (we're currently using Redshift dialect)
You have used modern BI tools (we're currently using Redash and Looker)
You have worked in agile, cross-functional teams of data analysts, data engineers, data scientists, and business analysts
You have an understanding of data modeling patterns (state vs. event-based, data warehousing) and data pipelining (dataflow, ETL, storage)
You are familiar with programmatic data tools such as python / pandas or r / tidyverse (we're using both)
You have experience with source control (we're using git), continuous integration and continuous deployment workflows
You speak fluent English and possess excellent interpersonal communication skills
BENEFITS
Join an innovative tech company as we help drive the evolution of digital experiences to become ever-more ubiquitous and interactive. Build a modern architecture for mission-critical applications
Shape the future of Content: help us establish, scale, and improve our team's processes
Generous education budget complete with extra days off working on your professional and self-development
Be set up for success, equipped with the latest and greatest hardware
Hangout in one of our many shared spaces, playing games with colleagues or enjoying a full range of events, including workshops, on-site meetups, guest speakers, and fun events for the company and each team. Did we mention an annual off-site?
Sharpen your PlayStation, ping pong, and kicker / soccer skills during breaks in the day
As much artisan coffee as you can handle
Brush up your language skills! Our team speaks more than 20 languages, and we offer free German classes
Take a break and pat a pup, we are a dog-friendly office
We fully support your move to Berlin with a relocation budget and visa assistance. We'll help you settle into your exciting new city
Plus, Contentful socks (https://twitter.com/hashtag/contentsocks), oh yeah!
"Variety is the spice of life" - and a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. Race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, or disability. We look forward to your application!
The Bauer Media Group, one of the world's most profitable media houses, is taking the next step in its successful digitalization process. In the newly created digital division "New Business", which is building a new business model in the area of "Marketing & Sales Services for Small & Medium-Sized Enterprises (SMEs)" directly under the Executive Board, we are looking for you as reinforcement. The market for professional digital marketing and lead generation for SMEs in Europe is € 50 billion and includes more than 100 million potential customers who want to become more digital and successful with our help. The Bauer Media Group, with more than 700 publications, over 400 digital products and approx. 100 radio and TV stations around the globe, today generates sales of 2.2 billion euros with 11,500 employees in 17 countries. This gives us the perfect conditions to build up this business quickly and sustainably through acquisitions and organic growth. Would you like to contribute to your ideas? Help us to better understand our users and improve our product offering and thus become one of the most important drivers for our future success. Apply now: Data & Web Analyst (f / m / d) New Business Responsibilities:
Use of internal data for the holistic analysis of user behavior and provide recommendations for optimizing the service offering
Preparation and supply of all relevant KPIs for the management to govern the companies
Conceptual design and implementation of a dashboard for the constant monitoring of KPIs
Usage of customer and company data to support the preparation of market entry and expansion strategies
Analysis of user behavior to identify and understand typical customer journeys
Identification of activities that may increase the user experience and increase the retention rate
Preferred Qualifications:
Bachelor's or Master's Degree in Business Informatics, Business Administration or a Comparative Education
Experiences with web analytics and tag management tools or similar systems (eg Google Analytics, Adobe Analytics, Webtrekk, Omniture)
Experiences in the use of software solutions for data visualization and reporting (eg Tableau)
Knowledge of databases / SQL
Technical know-how and good analytical skills even with large amounts of data
Hands-on mentality
Willingness to travel
German and English fluently spoken and written
Your benefits:
Open corporate culture with room for new ideas and impulses
Dynamic team with flat hierarchies
Be part of a newly founded company and make it successful with your own ideas
Central office in the heart of Hamburg
Employee discounts, regular company events, HVV ProfiTicket
If you are interested in this position, please contact Jens Meyer, Reference Number: HBV-27/2019
13/09/2019
Full time
The Bauer Media Group, one of the world's most profitable media houses, is taking the next step in its successful digitalization process. In the newly created digital division "New Business", which is building a new business model in the area of "Marketing & Sales Services for Small & Medium-Sized Enterprises (SMEs)" directly under the Executive Board, we are looking for you as reinforcement. The market for professional digital marketing and lead generation for SMEs in Europe is € 50 billion and includes more than 100 million potential customers who want to become more digital and successful with our help. The Bauer Media Group, with more than 700 publications, over 400 digital products and approx. 100 radio and TV stations around the globe, today generates sales of 2.2 billion euros with 11,500 employees in 17 countries. This gives us the perfect conditions to build up this business quickly and sustainably through acquisitions and organic growth. Would you like to contribute to your ideas? Help us to better understand our users and improve our product offering and thus become one of the most important drivers for our future success. Apply now: Data & Web Analyst (f / m / d) New Business Responsibilities:
Use of internal data for the holistic analysis of user behavior and provide recommendations for optimizing the service offering
Preparation and supply of all relevant KPIs for the management to govern the companies
Conceptual design and implementation of a dashboard for the constant monitoring of KPIs
Usage of customer and company data to support the preparation of market entry and expansion strategies
Analysis of user behavior to identify and understand typical customer journeys
Identification of activities that may increase the user experience and increase the retention rate
Preferred Qualifications:
Bachelor's or Master's Degree in Business Informatics, Business Administration or a Comparative Education
Experiences with web analytics and tag management tools or similar systems (eg Google Analytics, Adobe Analytics, Webtrekk, Omniture)
Experiences in the use of software solutions for data visualization and reporting (eg Tableau)
Knowledge of databases / SQL
Technical know-how and good analytical skills even with large amounts of data
Hands-on mentality
Willingness to travel
German and English fluently spoken and written
Your benefits:
Open corporate culture with room for new ideas and impulses
Dynamic team with flat hierarchies
Be part of a newly founded company and make it successful with your own ideas
Central office in the heart of Hamburg
Employee discounts, regular company events, HVV ProfiTicket
If you are interested in this position, please contact Jens Meyer, Reference Number: HBV-27/2019
