Senior Data Analyst (all genders)

Free knowledge leads to a fairer world. Wikipedia is the most important online knowledge collection of our time. The German Wikipedia alone records almost 1 billion page views per month for a total of 3 million articles. We - Wikimedia Deutschland e. V. - support the volunteers of Wikipedia and its sister projects, develop free software, such as Wikidata, and advocate for free access to knowledge, the opening of education and research, and more common good orientation in data policy.

For our Software Engineering Department, based in Berlin, we are looking for a permanent Senior Data Analyst (all genders), full-time (35 - 40 hours / week), ideally starting 01.01.2026 or sooner. 

This position is designed as a hybrid working model with at least quarterly presence in our Berlin office.

About the position & the team:

In your role as Senior Data Analyst (all genders) you are part of our Product Management Team in our Software Engineering Department. You will shape the department’s analytics roadmap, turning complex data into actionable insights for improving engagement and retention for WMDE’s Linked Open Data portfolio of products. In close collaboration with another Data Analyst, you will equip our Product Managers with scalable tools and dashboards to inform strategy and decisions within product teams that align with our product and organizational goals.

What you’ll be doing:

• Co-develop and drive the analytics roadmap in close collaboration with product teams, ensuring alignment with product and organizational goals and identifying opportunities to scale insights, automate analysis, and address technical debt.
  

• Partner with Product Managers and Engineers to define success metrics, measure feature and product impact, and provide actionable insights that inform strategy and decision-making.
  

• Design, implement, and maintain dashboards, documentation, and training materials to empower stakeholders with easy access to key metrics and foster a culture of self-service data literacy.
  

• Champion data-informed practices across the department, working proactively with cross-functional teams to ensure insights are translated into impactful business and product decisions.
  

• Establish, document, and enforce analytics standards, coding conventions, metric definitions, and structured data pipelines to ensure consistent, reliable, and reusable data across all teams.
  

• Support ad-hoc analyses, retrospective evaluations (of product releases or experiments), and represent the analytics function in cross-team initiatives, ensuring analytics insights inform both strategic and operational priorities.

What makes you right for this role:

• Senior-level experience as a Data Analyst for software or tech products, ideally in a mission-driven product development environment. 

• Strong awareness of data privacy, ethics, and responsible data use in public-interest technology contexts and an understanding of free and open data ecosystems and community-centered design.

• Proficiency in SQL, data visualization tools (e.g. Superset, Turnilo, Looker), and scripting languages such as Python or PHP.

• Experience with web and event-based analytics platforms (e.g. EventLogging, Hadoop, Druid) and version-controlled environments (e.g. Git/Gerrit).

• Expertise in defining, measuring, and interpreting product metrics as well as KPI hierarchies, and experimentation frameworks (including A/B testing) to support strategic decision-making.

• Strong abilities in translating complex data into clear narratives and actionable insights for diverse audiences, including Engineers, Product Managers, and non-technical stakeholders.
  

• Strong prioritization and self-management abilities as well as strong communication skills in English and collaboration skills.

Interested?

Please send us your detailed application documents (Resume & Motivational Letter (yes, we read them)) via our job portal. We kindly ask you to refrain from application photos and information on date of birth, marital status and parents.

Wikimedia Germany is committed to equal opportunities and does not discriminate on the basis of, for example, ethnic origin, citizenship, religion or belief, political or other convictions, gender, age, disability, or sexual identity. We would like to address you in the way which feels most comfortable for you so please share your preferred name and pronouns if you wish.