Own analytical questions end-to-end. Take a business problem, find the right raw data, transform and model it, run the analysis and turn it into a clear recommendation.
Partner with Product, Commercial, Medical and Operations teams to scope questions properly before touching any code. Most analytical work goes wrong at the framing step, not the calculation step.
Build and maintain dbt models for your domain. Treat your transformations as production assets, with tests, documentation and version control.
Build dashboards and data stories that stakeholders actually use. Default to simple, decision-oriented views over impressive-looking ones.
Use AI with judgment. Use AI to boost productivity and develop the judgment to know when to trust the output and when to throw it out. Expect the way you work to look meaningfully different six months from now.
Run experiments and A/B tests. Help product teams design and set them up, look at the results and interpret them together.
Question your own outputs. Validate inputs, sanity-check outputs and flag what you are not sure about.
Document and share. Make the next person's job easier by documenting data sources, definitions and decisions as you go.
Requirements
Up to 1 year of previous work experience (internships, side projects or academic work all count)
Strong communication skills in English. German is a plus.
Comfort with AI tools (Claude or similar) and an instinct to reach for them rather than around them.
Not expected, but a plus: Any exposure to dbt, Looker, BigQuery or experiment analysis.
SQL fundamentals: writing joins, window functions and CTEs.
Exposure to Python or similar. You've dabbled in scripting.
Storytelling skills: experience "packaging" facts into a story that helps insights cut through the noise.
Tech Stack
BigQuery
Python
SQL
Benefits
30 paid vacation days, AMBOSS holiday, personal purpose day and more
Daily healthy breakfast & lunch by in-house chef in Berlin HQ, AMBOSS daycare, work remotely from other office spaces in Cologne, Sardinia, Cape Town