133 Data Analytics jobs

Would you like to help companies solve their most urgent challenge and have a positive impact on people's lives?   Join the Heyvolution! Our mission is to help 1 million people to find the right job to live a fulfilling life by the end of 2020. Our AI & machine learning product helps companies to hire matching active and passive talent, while becoming a trustworthy career advisor for candidates within the confusing and exhausting application process. Our offer to you. An impactful role: A rich data set is the core of our company.   You will build and shape our data warehouse and generate important insights for our teams as well as our b2b clients. Be yourself at work: Our values ​​(teamwork, entrepreneurship, drive) are integrated in all areas of the business and build the core for a welcoming, respectful, people-focused culture. A diverse team: We have a team of 29 different nationalities, 43% females (34% female leaders), 45% of employees working in tech and we are an LGBT + champion. Room for growth: We offer a 7-Step career path, bi-yearly performance feedback, HeyJobs Academy, budget for educational purposes, and many senior colleagues as mentors and leaders in data and beyong. A secure job: We have a well functioning product which already serves plenty of enterprise customers such as Deutsche Bahn, Volkswagen, Daimler, Vodafone, Rewe, Deutsche Bank and we closed a € 10M investment round in 2018. What you can contribute. Technical ownership of our data warehouse, including architecture decisions, engineering solutions for scalability.   Key focus on data quality and availability. Work closely with our BI analysts in the design and creation of reports, dashboards and self-service data explores to help our Marketing, Product & other business units make the right decisions. Leverage modern technologies and tools (Redshift, Snowplow, Looker, Salesforce, Airflow etc.). Execution of ad-hoc analysis based on both internally generated and external data. Work closely together with our highly skilled and talented Marketing, Product and Engineering teams & leadership. What you need to bring. Completed studies - preferably with a focus on statistics, mathematics, computer engineering or a related field. First work experience as a Data Warehouse Engineer in Business Intelligence or similar. You are very comfortable managing large amounts of data in an efficient and scalable process. You are familiar with best practices for data architecture. Exposure to Redshift or other comparable DWH technologies is required, as well as with ETL systems. Know-how on visualizing data and building dashboards for different stakeholders and business needs. Strong analytical and problem-solving skills and an eye for details. Ability to work in a fast and practically oriented environment. Clear and structured communication of ideas. Experience with Python for ETL or analysis would be a plus. Fluent in English What our employees also like about us. The perks of a start-up: With us you will find short decision-making paths, plenty of freedom for entrepreneurial thinking and open communication across all areas of the company.   You can also take advantage of a weekly team lunch, events, off-sites, urban sports membership, company options, a sabbatical and much more.   We pay attention to your work-life balance and act early enough, should it be in danger. Fair Salary: We offer performance-related compensation that is in line with the market and inflation.   Your salary will be adjusted at least once a year. A beautiful office: Located at the canals of Kreuzberg, many options for lunch, coffee, after-work drinks and a lively food market close by. High quality equipment: standing desk, company car, iPhone, Thinkpad / MacBook, Sennheiser headset etc. Want to learn more about us? Kununu: http://bit.ly/HJkununu Glassdoor: http://bit.ly/HJglass Top 25 LinkedIn Startups: http://bit.ly/top25li Top Tech Employer: http://bit.ly/happyHJ

This position is CONTINGENT upon contract award.   Our recruiting team will follow up with you on your application.   Our hiring team will not start the interview evaluation process until award. Jacobs is seeking a Data Analyst responsible to Use technology to mine complex, voluminous, and different varieties of data from various sources and platforms in order to collect, analyze, and compile data to meet customer needs Identify new sources of data and methods to improve data collection, analysis, and reporting Collect customer requirements Determine technical issues Design algorithms and data manipulation capabilities using R, Python, C ++, JavaScript, Go, and other known programming languages Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products. # I2S Qualifications Possess a minimum of a bachelor's degree in a computer science discipline. Experience providing services similar in required tasks, scope, and complexity. Current DoD Top Secret clearance and eligible for SCI access and ACCM read-on.

SUMMARY The Senior Product Specialist EMEA (m / f / d) is primarily responsible for supporting the sales and above average company growth targets with Granta solutions in Europe, Middle East and Africa.   The Senior Channel Account Manger EMEA (m / f / d) works with selected Channel Partners in EMEA to support assigned target customers, which are typically some of the largest accounts for ANSYS solutions.   The successful Senior Product Specialist EMEA (m / f / d) must understand customer environment, the customer's customer / eco-system, customer's business priorities, customer's business challenges to help the Channel Partners to align the ANSYS Granta based materials solution that generates a measurable and impactful business outcome for the customer. RESPONSIBILITIES Build or help building strategic relationships at the CXO / VP / Director level in close collaboration with ANSYS Channel Partners while engaging within divisional or departmental groups to develop new business opportunities Identify the needs of the customer, build value and develop a business case / ROI to justify investment in the proposed solution Close sales of ANSYS Granta software and services in close collaboration with the ANSYS Channel Partner, driving successful contract negotiations where required Develop, and regularly update territory and account plans designed to assist with the achievement of sales targets and company objectives Drive awareness and adoption of channel programs, tools and resources - deal registration, certification, demand generation and incentives Provide / coordinate the support, training and coaching required to increase partner skills, competency and commitment in sales, technical, marketing and order management sub functions Manage Channel Partners prospect pipeline and accurately forecast sales Meet regularly with customers, Channel Partners and prospects in the territory Capture accurate and complete information in the Customer Relationship Management Build a long-term global account plan, with buy-in from senior levels of ANSYS organization Assist ANSYS management in analyzing regional business trends, industries, competitors and market data to set market coverage strategy.   If needed, also provide assistance with Go-To-Market model definition, number and types of partnered needed to cover the market, channel recruitment, onboarding and development Collaborates globally with account teams, product specialists, other functions within ANSYS, remote (direct / indirect) sites, and business partners to ensure a synergistic, companywide approach to the account Remains knowledgeable and keeps abreast of ANSYS new and existing products / services MINIMUM QUALIFICATIONS Minimum bachelor's degree in an engineering discipline or bachelor's degree with technical sales experience Minimum 5 years' sales experience, at least 2 years as a senior / key / named account manager, with a proven track record of success and Channel Management experience Demonstrated basic understanding of PLM or engineering simulation space Excellent communication (including at executive level), organizational skills and the ability to work collaboratively Proven track record in managing indirect sales channels Minimum travel of 60%, mostly in Germany and Europe Proficient in the following competencies: Building Trusting Relationships, Business and Financial Acumen, High Impact Communication, Marshaling Resources, Expanding and Advancing Opportunities, Devising Sales Approaches and Solutions, Initiating Action, Active Learning, Adaptability, Sustaining Customer Satisfaction, Sales Opportunity Analysis Fluent in English and German, further European languages ​​would be beneficial. PREFERRED QUALIFICATIONS Demonstrated knowledge of ANSYS products / services, and pricing practices a plus Knowledge of the specific accounts, industry a plus Professional appearance and presentation CULTURE AND VALUES: Culture and values ​​are incredibly important to ANSYS.   They inform us of who we are, of how we act.   Values ​​aren't posters hanging on a wall or about trite or glib slogans.   They aren't about rules and regulations.   They can't just be handed down the organization.   They are shared beliefs - guideposts that we all follow when we're facing a challenge or a decision.   Our values ​​tell us how we live our lives;   how we approach our jobs.   Our values ​​are crucial for fostering a culture of winning for our company: Customer focus Results and Accountability innovation Transparency and Integrity Mastery inclusiveness Sense of urgency Collaboration and teamwork ANSYS does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of ANSYS.   Upon hire, no fee will be owed to the agency, person, or entity.

We are looking for a proactive data-driven person to develop, refine and manage KPIs for a variety of projects and products.   As a senior BI analyst, you should be able to solve multiple complex issues. Your responsibilities will be: Evaluating the performance of products and derive concrete suggestions for future action strategies Producing sound, quantitative, and actionable data insights Building and implementing machine learning models and prototyping solutions for large scale prediction problems Defining KPIs and reporting for business areas together with responsible stakeholders Managing and supporting ad-hoc projects in support of driving business insights, intelligence, or business process efficiency / improvements Extracting and aggregating data from various sources (eg Google Analytics, Firebase, Salesforce, etc.) Reporting through clean and reliable dashboards in Tableau Managing and helping the development of your junior colleagues Qualifications What you'll bring to the team: University degree in economics, statistics, mathematics, natural sciences, business informatics, or similar 4+ years of work experience in a similar role Knowledge of Tableau, Looker, SiSense or other, similar BI tool Sound knowledge of SQL and relational databases Excellent analytical and critical thinking skills Problem solving mindset Ability to communicate effectively with business stakeholders Fluent in English What makes you stand out: Experience in product analytics Marketplace knowledge Knowledge of scientific programming language, libraries and patterns (Python, R, Pandas, Scikit-learn, SciPy, etc.) Experience with Big Query Experience with web / mobile tracking tools (eg GA, Firebase) 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 attend company 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 running from day one and shape your own career path 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!

IDnow provides a leading Identity Verification-as-a-Service (lVaaS) platform, which is used across industries conducting online customer interactions that require a high degree of security.   The service uses artificial intelligence to check security features on ID documents.   All IDnow products Combine government-grade protection against identity fraud with best in class conversion rates for customer onboarding.   IDnow covers a wide range of use cases and the platform allows the identity flow to be adapted to different regional, legal and business requirements on a case by case basis.   Founded in 2014, we already have a large and nearly growing team of 300 colleagues from 35 different cultures.   The portfolio of over 250 customers includes leading international companies such as Bank of Scotland, BNP Paribas, Commerzbank, N26, With IDnow VideoIdent, large banks and FinTechs can verify the identity of their customers in just a few minutes - conveniently, securely and legally.   Adoption of VideoIdent product leads to a significant increase in the conversion rate compared to traditional offline methods.   It combines AI-based technology with the expertise of highly qualified ident specialists.

We are revolutionizing Customer Service with Artificial Intelligence.   Speed, passion and drive are the basis of our DNA.   We put our customers at the center of everything we do, and we never stop until the job is done.   We are creating our own path, with a global and diverse team driving long-term growth and innovation.   We do not like "not possible".   We like new ideas, open-mindness, honesty and we always bring an element of fun into our work.   Join our team and be ready to change the world with us. We are one of the leading companies in Artificial Intelligence, providing our services to the world's most innovative companies.   With our expert team of application developers and scientists, we work closely with our customers to create state-of-the-art technology.   Become part of our fast-paced environment and join our team building the most innovative and revolutionary technology in the market. Some of our awards include:   Insurance Disruptor of the Year, Impact Growth EU Tech of the Year, CCW Most Innovative CS Solution, Impact Diamond - Best InsurTech and many more. Responsibilities Extend our human-in-the-loop and active learning systems to optimize data collection and labeling Leverage recent advances in natural language understanding and conversational AI to increase automation Think of creative ways that machine learning and data capabilities can help empower customer support processes Design more and more natural conversational experiences with increasingly self-reliant bots Requirements Degree (or Ph.D.) in a numerical discipline (or substantial relevant experience) Fluent in English 5+ years of work experience Excited by solving hard technical statistical modeling and machine learning problems Constantly stretching your toolbox of capabilities Deployed large-scale, production machine learning systems Enjoy building data products that elegantly leverage math / stats / machine learning Proficient in Python and the broader data science stack Strong data visualization skills Experience with tensorflow, pytorch, mxnet Optional: SQL, NoSQL We are looking forward to hearing from you! Best, e-bot7

About Fraugster: Fraugster is a payment security company with the goal of eliminating fraud and increasing our customers' profits.   Over the last few years we've invented an artificial intelligence technology that combines human-like accuracy with machine scalability.   This ability lets us foresee fraudulent attacks before they happen. We are already working on some of the most well-known payment and e-commerce companies in the world.   Notable clients include companies like Ingenico, SIX Payments and others.   Fraugster is backed by top tier investors and currently manages billions of euros for our clients. Job Description: We are searching for additional Backend Engineers (f / m / x) to join our Engine team.   Together with other experienced developers, you are responsible for building and maintaining new API features as well as optimizing our code for performance and scalability.   In cooperation with our Data Science and Analytics team, we want to enhance our data enrichment platform and implement custom algorithms to power the Fraudster AI engine. The stack you want to work on is a set of distributed services which are written in Go and communicate via gRPC, Etcd, Kafka and Postgres.   All components run in a fully containerized environment on Kubernetes.   One of our core components is an in-house developed in-memory database which provides high performance query operations for our scoring engine.   You have the opportunity to work in a selection of challenging and diverse projects in an agile environment. Skills & Requirements Solid experience in statistically typed programming languages ​​(preferably Go) Good understanding of distributed systems and their challenges Experience in containerized environments (eg Docker) Not mandatory but a big plus is experience with benchmarking and profiling Our OS is Linux / MacOS and you should be comfortable on the CLI Fluent in spoken and written English What we offer: The opportunity to join a growing team of industry experts The opportunity to strongly impact company strategy and growth Fun, creative and focused teams committed to learning and problem solving through collaboration Competitive remuneration Very modern and professional office environment Start-up amenities (fruits, drinks, events etc.) Office located in the heart of Berlin Free use of gym in the office building We're looking forward to hearing from you!

About Fraugster: Fraugster is a payment security company with the goal of eliminating fraud and increasing our customers' profits.   Over the last few years we've invented an artificial intelligence technology that combines human-like accuracy with machine scalability.   This ability lets us foresee fraudulent attacks before they happen. We are already working on some of the most well-known payment and e-commerce companies in the world.   Notable clients include companies like Ingenico, SIX Payments and others.   Fraugster is backed by top tier investors and currently manages billions of euros for our clients. Job Description: We are looking for a talented and motivated engineer to help us fight fraud.   Are you anyone who can build on both ends of the stack as well as bring the quality of our engineering culture?   Come help us build a machine learning that is revolutionizing the payments security industry. You want to join the Fire Team, a cross-functional team developing customer-facing products.   Most of your work will be on fire, a tool to allow our users to augment our fraud detection engine.   This is a new team, so you will help shape its direction from the very beginning. What you want to do: Collaborate closely with other engineers, product managers, and designers Lead and own new features and projects with autonomy Extend our main Angular 8 application with clean, reusable components Build backend services with Go, gRPC, PostgreSQL, Kafka, and Elasticsearch Document our code, knowledge and processes Maintain our CD pipeline built with Gitlab and Kubernetes Expand our front-end and back-end test suites Help other team members improve with code reviews and knowledge sharing Skills and requirements: At least 2 years of relevant professional experience Solid HTML, CSS, and Javascript skills Previous experience building single-page applications Experience using and building RESTful APIs Familiarity with relational databases Nice to have: We encourage you to apply even if you're still developing some of these skills. Previous experience building production applications with Angular 2+ or React Experience with TypeScript or Go Good knowledge of frontend testing technologies Familiarity with service-oriented architectures What we offer: A diverse team representing more than 25 nationalities Competitive salary Flexible home office policy and working hours Time every week to hack on projects of your choosing Free gym in the office building Daily fruit baskets, drinks, and snacks A modern office with breathtaking views, located in the heart of Berlin Free food on Fridays We know that various teams are strong teams, and welcome those with all identities, backgrounds, and experiences.   We are looking forward to receiving your application!

position At Dedrone we are building high performance distributed sensor systems for drone detection, identification and mitigation.   Merging, alerting, reporting and analytics. Our sensors are state-of-the-art computing devices. We are looking for an experienced Linux Systems Engineer (m / f / x) as part of our growing software team working on sensor firmware development, security architecture and platform deployments. Responsibilities Develop and maintain software artifacts, scripts and workflows for sensor firmware and platform software Support software development, infrastructure and production teams in setting up new build processes and collaborative work to build and deploy roadblocks Combine operating system kernel, hardware drivers, open source libraries and our proprietary software into embedded and server products Security patch management for sensor firmware and platform software Striving for automated approaches for all aspects of software deployment and update processes Qualifications Technical degree or experienced autodidact Strong background in linux based environments (server, embedded, desktop) At least two years of professional software development experience and shell scripting Strong attention to detail Experience in writing integration tests and black-box tests Willingness to learn and adapt to new technologies Fluent in English and German The following are a plus: Knowledge of Java, Python, JavaScript Experience with networking and distributed systems CCNA We offer At Dedrone, you can expect to work in a startup-like atmosphere, expect excitement, and expect tasks that are diverse in nature.   We're a highly-qualified, international team that's passionate about what it does and where it wants to go.   Our hierarchies are flat and we offer plenty of room for individual ideas to develop.   We are quick in our decision making and like to keep our processes lean.   So we offer permanent positions from day one, flexible working hours, the possibility to work from home, joint events, and much more. You've come to the right place in a new high-tech company and looking to help expand into a new, growing market.

Du bist an innovativen Themen im Bereich Data Science und Marketing Automation interessiert. Du möchtest etwas bewegen und mit deiner Erfahrung kannst du unsere Kunden in diesen Themen weiterbringen. Deine Hauptvorteile: Hoher eigener Verantwortungsbereich und vielfältige Gestaltungsmöglichkeiten Familiäre und kollegiale Atmosphäre Kurze Entscheidungswege in innovativem Umfeld Abwechslungsreiche und herausfordernde Kundenprojekte aus verschiedenen Branchen Arbeitszeiten und Arbeitsort können individuell im Einklang mit den Kundenbedürfnissen festgelegt werden Dein Profil: Hoch- oder Fachhochschulabschluss mit starker analytischer oder naturwissenschaftlicher Ausrichtung Sicherer Umgang mit gängigen Analytics-Tools und Tracking Technologien (bspw. R, Python, SAS oder Tealium, Adobe) Erfahrung in der Daten-Aufbereitung aus relationalen und non-relationalen Datenbanken und Rohdaten im JSON-Format Anwenderkenntnisse in gängigen Dashboard-Tools (z. B. PowerBI, Tableau) und Marketing Automation-Tools (z. B. Selligent, BSI, Adobe Marketing Cloud) von Vorteil Projekterfahrung in den Bereichen Data Science, Customer Intelligence oder Marketing Automation und hohes Interesse an diesen Themen Probleme sind für Dich ein Ansporn dafür, kreative Lösungen zu finden Unternehmerisch denkende und vernetzt handelnde Person mit Humor Deine Hauptaufgaben: Du identifizierst und erfragst Anforderungen und Probleme unserer Kunden, reflektierst diese und übersetzt sie in konkrete Lösungs­vorschläge und Handlungsempfehlungen Du analysierst Kundendaten und erstellst Visualisierungen, deskriptive Analysen und prädiktive Modelle mit geeigneten Methoden (Supervised / Unsupervised Machine Learning) Du generierst aus diesen Analysen wertvolle Insights für unsere Kunden, um nachweisbaren Nutzen aus Daten zu kreieren Du übernimmst Projektverantwortung bei Kundenprojekten und kommunizierst mit den Stakeholdern, um im Team entsprechende Projekte zur Zufriedenheit unserer Kunden zu realisieren Weitere Pluspunkte für Dich: Gestalten und nicht Verwalten Umgebung ohne hierarchische Barrieren Laura Straub und das ganze Team freut sich über deine Online-Bewerbungs­unterlagen .

Du beschäftigst dich als Architekt (d/m/w) mit dem Aufbau unserer Datenintegrationsplattform sowie der Anbindung von Datenbeständen und Liefersystemen. Du gestaltest so die Basis für die datengetriebene Zukunft der TeamBank aktiv mit.

In deiner Position als Data Scientist (d/m/w) erweckst du datengetriebene Anwendungen zum Leben und gestaltest dadurch die Zukunft der TeamBank aktiv mit.

Who we are: At Cobrainer, we are developing a revolutionary, fast and intuitive way to connect people with the relevant expertise needed to drive their ideas and projects. To make this reality, our Machine learning team is developing large public and private data sets in order to extract, clean and accurate expertise information.   To this end, the team brings together methods and concepts such as data mining, machine learning, natural language processing, distributed computing, API design, and user interface design. As a Lead Software Engineer in the Machine learning team, you are responsible for translating into a scalable and maintainable product that can be deployed and used on new customers' datasets within minutes.   The Cobrainer Expertise Management Software. Training models and improving the underlying analytics architecture based on customer interactions and customer feedback in rapid two-week release sprints. This vacancy is intended to be completed at the earliest possible date. In your role: Responsible for data-processing modules of the Cobrainer software developed in close collaboration with the application and UI teams Design and implement software features that require applications of Deep Learning, Machine Learning, Data Mining, Search and Recommendation techniques. Assessing incoming requirements, design and software features, and coordinate implementation with Developers in the team Define feature specifications and approval criteria, coordinate tests, software documentation and releases Undertake validation, rectification of reported issues, optimizing software for data quality and system performance Mentor and guide junior team members, participate in hiring efforts if necessary What we value: Minimum 3 years' practical experience in designing and implementing enterprise-grade software systems MS or PhD Degree in Computer Science or related fields is a plus in Deep Learning, Machine Learning, Natural Language Processing, Information Retrieval and Data Mining. Proven experience in conceptualizing, developing and testing software for scalability and high performance Extraordinary programming skills, motivation to build and build robust software Proficient knowledge of Java, Python, Bash-Scripting, DBMS, and NoSQL technologies Effective written and oral communication skills in English;   proficiency in German language is a plus What Cobrainer offers you: We're driven by expertise and we invest in yours! Responsibility, ownership, and time to drive your own ideas A happy, challenging and inspiring place to work Great colleagues and a top notch working environment Excellent salary package, employee stock options and 30 days holidays Trainings, conferences and peer-to-peer learning Weekly get-togethers, quarterly team retreats and other fun activities Spacious office in central Munich and free barista quality coffee