Overview:
SOFTSWISS is hiring a Product Data Analyst. We are looking for a highly motivated Product Data Analyst to join our team.
Purpose of the role:
We are looking for a Product Data Analyst to turn data into actionable insights, guiding product decisions and measuring the impact of features on key business and partner metrics.
Key responsibilities:
- Work closely with Product Managers and Business Analysts: participate in SRS / feature scoping discussions; help define feature goals and product metrics
- Design event-based tracking: define which events and properties should be logged; ensure events can be connected to business and user metrics
- Run product analytics: funnels, cohorts, retention, LTV, conversion analysis; feature impact evaluation (before/after, A/B tests, experiments)
- Build and maintain BI dashboards (preferably in Tableau): product usage dashboards; business and operational reports
- Perform ad-hoc analyses for product, account management and sales teams
- Monitor data quality and validate tracking implementation
- Document metrics, event schemas and key research findings
Required Experience:
- 3+ years of experience as a Product Analyst / Data Analyst
- Strong SQL is a must: complex joins, window functions, CTEs and basic query optimization
- Experience with ClickHouse or strong willingness and ability to ramp up quickly (hands-on ClickHouse experience is a big plus)
- Python for analytics: pandas, numpy; Jupyter notebooks, building analysis and visualisations
- Experience with BI tools, ideally Tableau
- Solid understanding of product analytics: user and business metrics, cohorts, retention, funnels, basic principles of A/B testing and experimentation
- Ability to translate a business question into an analytical task and back: propose metrics, cuts and methodology, explain results in a clear, non-technical way
- English В1+: comfortable reading documentation and written communication; calls with English-speaking colleagues/clients are a plus
Nice to have:
- Experience in iGaming / fintech / B2B SaaS / marketing platforms
- Participation in event tracking / logging design together with BA/PM/engineering
- Understanding of iGaming unit economics (deposits, bonuses, bets, NGR, etc.)
- Basic statistics: confidence intervals, p-values, common pitfalls in experiment interpretation