Product Analyst
Poland | Remote
We are looking for a Senior Product Analyst who can combine deep technical expertise with strong product intuition. You will be responsible for building scalable analytics foundations, leading experimentation, and driving insights that directly shape product strategy.
This role sits at the core of how we make decisions — you’ll partner with product, engineering, design, and leadership to ensure that our product evolution is powered by data and experimentation.
This role sits at the core of how we make decisions — you’ll partner with product, engineering, design, and leadership to ensure that our product evolution is powered by data and experimentation.
Key Responsibilities
Forecasting & Predictive Modelling
Data Infrastructure & Reporting
Culture & Enablement
What We’re Looking For
- Experimentation & Analytics
- Design, launch, monitor, and analyse A/B tests.
- Define and manage events taxonomy to ensure consistent, accurate data tracking.
- Partner with product teams to translate data requirements into actionable product metrics.
- Conduct exploratory and deep-dive analyses to uncover user behaviours and growth opportunities.
Forecasting & Predictive Modelling
- Improve the existing LTV forecasting model and build new predictive models as needed.
- Evaluate pricing strategies and interpret experiment results to inform product and business decisions.
- Identify patterns and insights in data to unlock new growth and retention levers.
Data Infrastructure & Reporting
- Build and maintain KPI dashboards for product features and overall performance.
- Collaborate on data workflows and pipelines (Airflow, dbt, etc.), ensuring data reliability and quality.
- Support the creation of a self-service analytics culture across the organisation.
Culture & Enablement
- Proactively improve processes and promote company-wide data literacy.
- Educate and enable teams to use data effectively for decision-making.
What We’re Looking For
- 5+ years of experience in product/data analytics, ideally within mobile apps.
- Advanced SQL skills — highly optimized queries, advanced joins, window functions, performance tuning.
- Strong Python skills for data analysis, automation, modelling, and visualization.
- Proven expertise in A/B testing, experimental design, and statistical analysis.
- Experience forecasting LTV (cohort analysis, survival models, or ML techniques).
- Solid understanding of event taxonomy and product instrumentation.
- Experience with BI tools (Amplitude, Looker, Tableau, Power BI, or similar).
- Familiarity with ETL/data pipeline tools (dbt, Airflow) and data modelling best practices.
- Excellent communication and cross-functional collaboration skills; able to work independently and drive impact.
