•••••••• is hiring a Senior Data Analyst to own the analytical foundation under business-critical KPIs (ARR, revenue, GMV) and to implement, document and defend technical KPI definitions in the data warehouse.

Responsibilities:

  • Own technical definitions and logic for business-critical KPIs (ARR, revenue) and manage changes through governance and approval processes.
  • Build, debug and QA analytical logic in the data warehouse; assemble data using strong SQL.
  • Work end-to-end across data flow from source systems through the warehouse into reporting; prioritize and resolve data, process, and definition issues.
  • Enable stakeholders (especially Finance) to run processes like month-end close and ARR corrections; provide transparent definitions and tooling.
  • Set up and drive KPI governance and change management with the Head of BI.
  • Share knowledge and ensure standards are adopted across the team.

Requirements:

  • Several years of professional experience in business intelligence or data analytics with end-to-end ownership.
  • Expert SQL skills for reading, writing and debugging complex logic across a layered data warehouse.
  • Experience with a modern BI tool (experience with Microsoft Power BI is valuable).
  • Experience with business/financial KPIs; familiarity with SaaS metrics (ARR, NRR, revenue recognition) is a plus.
  • Experience working with Finance or business stakeholders and ability to explain methodology changes to non-technical colleagues.
  • Structured, self-organised working style and strong initiative.
  • Excellent English (C1); German skills are a plus.

Nice to have:

  • Experience with dbt or other transformation frameworks and version-controlled analytics work.
  • Experience in SaaS or e-commerce environments, data governance, data catalogues, KPI documentation, audits or investor reporting contexts.

Conditions & benefits:

  • Permanent employment contracts and long-term security.
  • Flexible working hours, options for mobile work and full-remote contracts (within Germany or specific European countries).
  • Equipment choice, structured onboarding with a buddy, development opportunities, company pension plans, health programs and team events.