As a Working Student in Business Intelligence at Abacus Medicine, you will help us strengthen and maintain the technical foundation behind our data platform.
A key part of the role is supporting internal improvement and maintenance activities that are important for keeping our BI environment structured, documented, and scalable. This includes improving and maintaining metadata, documenting how data is defined and used across the organization, validating reports, and helping us simplify and consolidate existing BI assets.
Alongside this, you will get the opportunity to work with more future-oriented BI and AI topics. You will be based in Berlin and work closely with experienced BI colleagues, contributing to experiments, testing new ideas and helping us explore how AI can become a useful part of analytics.
Strengthening our BI foundation
Help maintain and improve metadata in Unity Catalog, including table and column descriptions, business definitions, and ownership information.
Support documentation of the semantic layer between Databricks and Power BI, helping us keep definitions and reporting logic consistent.
Work with different business domains to understand and document what our data actually means as part of our ongoing Goldification efforts.
Support DAX development and validation of important Power BI reports, preparing proposed changes for review by experienced BI developers.
Help identify opportunities to simplify reports, models, and workspaces to improve maintainability and platform performance.
Supporting our future BI & AI capabilities
Help maintain and test internal documentation, onboarding material, and guidance for our BI and AI tooling.
Support our work with AI-enabled analytics tools such as Databricks Genie and Microsoft Copilot by testing how they interpret business questions and helping improve the underlying context and documentation.
Act as a hands-on sparring partner for new ideas and experiments, particularly together with our BI colleagues in Berlin.
Help turn successful experiments into approaches and documentation that can be reused by the wider team.
Currently enrolled at a university in Germany in a relevant technical or quantitative field such as Information Systems, Data Science, Business Informatics, Applied Mathematics, or similar.
At least two completed years of university studies. Ideally, you are early in your Master’s programme, although final-year Bachelor’s students are also encouraged to apply.
Availability to work approximately 20 hours per week for at least one year.
Eligibility to work under a German working-student (Werkstudent) arrangement.
Working knowledge of SQL and a basic understanding of data and analytics.
An analytical mindset and an interest in understanding how data, business definitions, and reporting fit together.
Attention to detail and an interest in improving quality, structure, and documentation.
Curiosity and willingness to explore new technologies and ways of working.
Comfortable asking questions, challenging assumptions, and collaborating with others.
Professional working proficiency in English.
Availability to work from our Berlin office approximately two days per week.
Nice to have:
You do not need experience with everything below. Exposure to any of these areas is a plus:
Power BI, DAX, Databricks, or similar analytics technologies.
Python and/or SQL.
Data warehousing and dimensional modelling.
Metadata, data governance, or technical documentation.
AI-enabled analytics and tools such as Databricks Genie or similar agentic analytics technologies.
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Moving Healthcare. Moving You.
In Abacus Medicine Group, you’ll experience the power of Moving Healthcare. With our change mindset, we're moving the industry and improving healthcare as we broaden access to medicine.
But it's not just about moving healthcare, it's about Moving You. You’ll be part of a caring community of more than 1,750 people across the World. With us, you will be valued, empowered, and have a direct impact on driving change. Let's access the future of medicine and make a difference together. Your move.
