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A mobile gaming company seeking a Senior Product Analyst to merge technical expertise with strategic insights. You'll analyze user data and assist in optimizing product performance. Ideal candidates have 5+ years in analytics, strong SQL and Python skills, and familiarity with mobile analytics tools. Join a dynamic team offering flexible working hours, professional development, and mental health support. You can work remotely within ±3 hours of Berlin, or onsite in Berlin, with relocation support available.
Location: Berlin, Germany or Remote within ±3 hours of Berlin
Employment Type: Full-time, Freelance, or B2B
Do you have experience with funnel analysis in mobile apps and know how users progress from install to first usage?
We are a growing mobile gaming company (120 people) focused on creating engaging, rewarding, and data-driven gaming experiences for a global audience. Our teams work across multiple countries and collaborate closely to build mobile titles that combine strong game design, meaningful progression systems, and modern monetisation models. We value curiosity, clear communication, player-centric thinking, and the ability to translate data into actionable insights that improve gameplay and business outcomes.
We are looking for a Sr Product Analyst who can merge technical expertise with strategic thinking and help define how we understand product performance across our player experience. You’ll dive deep into data to identify patterns, uncover opportunities, and inform roadmap decisions. You will collaborate closely with Product, Growth, and Design teams support testing, measurement, and decision-making.
Manage Road Map Testing
Design, execute, and analyse A/B experiments, Participate in product development based on experimentation.
Create and enhance tracking frameworks to guarantee precise, dependable, and decision-ready data collection.
Establish key performance metrics and deliver insightful dashboards and reports supporting decisions grounded in evidence and data.
Apply innovative thinking to solve complex challenges and bring solutions.
For segmentation, classification and regression use ML Algorithm.
Collaborate with Data Engineering and Analytics teams to achieve results.
Work on behaviour data to identify usage patterns and motivations, and guide on product roadmap accordingly.
We are an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity, national origin, disability, or any other protected characteristic.