У вакансии есть условия, которые могут повлиять на решение об отклике
Английский обязателен
Описание
A small data team is hiring a Senior Data Analyst to take on the company's most important open-ended business questions and answer them in depth with little guidance. The role spans product and commercial analytics, from customer adoption and retention to the levers that move the funnel. You will work closely with Product, Sales, Customer Success and leadership, building the dbt models and Looker views your analyses need. The position is based in Berlin, Germany.
Обязанности
Work out what drives account growth and how Sales and Customer Success can act on those behaviours
Map how customers really use the product, which workflows stick and what healthy adoption looks like
Pick a question nobody has asked yet, answer it and change a product or go-to-market decision
Build the dbt models and Looker views your analyses need so others can answer questions themselves
Work closely with Product, Sales, Customer Success and leadership across product and commercial topics
Требования
5+ years in analytics at fast-growing startups or scaleups, ideally B2B SaaS, where the work shaped product or commercial decisions
Exceptional ability to reason through ambiguous business problems, frame the right question and land on a clear recommendation
Hands-on experience in product analytics: usage, adoption, engagement, experimentation
Hands-on experience in commercial analytics: retention, expansion, funnel, pricing
A track record of driving your own analytical agenda with minimal guidance
Strong SQL
Professional experience with dbt
Professional experience with a BI tool, with strong command of Looker as a big plus
Solid Python for analysis and scripting
Strong, hands-on familiarity with AI tools, especially Claude Code, used daily
Excellent written and spoken English with the ability to explain a complex finding in one clear paragraph
Условия
Questions over tickets: you set your own agenda instead of waiting for requests
Depth over dashboards: one decision-changing analysis beats ten reports nobody reads
Pragmatic by default: simple processes, fast iterations and the lightest trustworthy method
Clarity wins: findings must be understood and acted on by others
AI-native by default: heavy daily use of Claude Code and other AI tools