Senior Data Analyst(m/w/d)

About us
Unzer is a fast-growing, innovative, and modular platform for international payment transactions. Over 800 of our payment experts and tech enthusiasts throughout Europe today work on helping retailers achieve sustainable growth in a dynamic market. We provide them with the modules, which are easy to integrate, cover the entire spectrum of payment management: from the processing of various payment types, through automated analytics of customer behavior and requirements, all the way up to integrative risk management.

About the team
Unzer Data Analytics & Services team focusses on providing advanced analytical dash boards and data extracts to different departments and entities within our organization. We are responsible for making data available across the Unzer group in a secure, reliable, and user-friendly way. We work in close collaboration with the data engineering and data science teams, in developing our state-of-the-art Data Lake and reporting systems on AWS infrastructure. We work on challenging projects to support our key stake holders such as CXOs, Financial controlling, Sales, Risk, Operations and Product teams by analyzing complex data and providing meaningful and actionable business insights.

What you will do

• Analyse data from different entities, systems, development of complex aggregation logic using SQL and Python
• Analyse & elaborate reporting requirements to provide efficient Data analytics solutions via Tableau, Power BI or one of the other interfaces, closely collaborating with Data engineering & Data science teams
• As part of the Data Analytics & Services team you will also be responsible to drive data analysis & reporting projects from start to end, working closely and directly with senior management and business stakeholders
• Provide support in ongoing ad hoc and operational reporting activities – related to management reporting, supporting business operations, compliance, and audit reporting requirements etc.
• Contribute towards developing, continuously improving, and maintaining an enterprise Data Lake on AWS

Your profile

• Overall 5+ experience in the Technology space
• You have at least 3+ experience in the Data Analytics space with a focus on data analysis, developing aggregation logic, building data marts, and creating reports
• Deep knowledge and hands-on experience with SQL
• Good knowledge and experience with Python
• You have a good understanding of the fundamentals of requirement engineering, basic project management and have at least 2+ years experience in such roles working with senior stakeholders
• You have good knowledge of classical data warehousing and ETL concepts.
• Basic understanding of Tableau, Power BI, or any other data visualization tools
• You are an effective communicator and a good team player
• You are flexible, committed, and have a zeal to work on challenging initiatives
• You enjoy the sense of ownership for your work/projects
• Good understanding of modern data stack, processes, technologies/tools

What we offer

• Flexible working hours
• Hybrid work model to allow you to keep work-life balance – you can work from home up to 80% of the time
• A learning budget for personal development in addition to internal knowledge sharing forums and best practice sharing g. We want you to have the ability to learn something new every day!
• A fast-paced work environment with the creative freedom to contribute to Unzer’s future
• Excellent working atmosphere in ambitious, diverse, and agile teams.

Does this sound interesting to you? Please send in your CV and Cover Letter in English through the form below. We are looking forward to getting to know you!

Please note we will only accept applicants with a valid work permit in hand.

• Unzer is an equal employment opportunities workplace, and we commit to hiring regardless of race, sex, gender identification, sexual orientation, national origin, native language, religion, age, disability, marital status, citizenship, genetic information, pregnancy, or any other characteristic protected by law. Please refrain from including your picture and age with the application.

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Job Types: Full-time, Permanent