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Data Analyst

Turn our product and acquisition data into decisions.

Stuttgart, Germany — hybrid (2–3 days/week in office)Full-time / Working student (Werkstudent)Product & Growth

MyChatWrap turns exported WhatsApp chats into relationship analytics — entirely in the browser, with nothing stored. We generate a lot of first-party product and acquisition data and not enough answers. You'll own the analytics layer: the models, the dashboards, and the weekly readouts that tell the team what to build and where to spend.

What you'll do

  • Build and maintain the metrics that matter — activation, retention, acquisition-channel performance, conversion funnels — and make them self-serve.
  • Design and analyse A/B tests and pricing / onboarding experiments end to end, from hypothesis to a clear ship / kill recommendation.
  • Dig into the acquisition funnel (search, AI assistants, social, direct) and tell us which sources actually convert.
  • Partner with engineering on the event schema so the data we collect answers real questions.
  • Write short, opinionated analyses — not 40-slide decks — that a founder can act on the same day.

What we're looking for

  • 2+ years in an analytics role (product, growth, or BI) — or an exceptional portfolio if you're earlier in your career.
  • Strong SQL and confident with a scripting language for analysis (Python or R).
  • You can frame a business question, choose the right method, and communicate the answer plainly.
  • Solid grasp of experimentation — significance, power, common pitfalls.
  • English at C1+.

Nice to have

  • Experience with a warehouse-native BI tool or building dashboards in code (Recharts, Streamlit, etc.).
  • Familiarity with MongoDB aggregation pipelines.
  • Marketing / SEO analytics background (GSC, GA4, attribution).
  • German.

Languages

English at C1 or above is required. German is a strong plus.

Working student

As a working student: ~16–20 h/week during term, flexible around your timetable, ownership of one or two recurring analyses plus ad-hoc deep dives.

Apply for Data Analyst

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