Product Data Analyst - Senior

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

Our Benefits:

Full-time remote work opportunities and flexible working hours Private insurance Additional 1 Day Off per calendar year Sports program compensation Comprehensive Mental Health Programme Free online English lessons with a native speaker Generous referral program Training, internal workshops, and participation in international professional conferences and corporate events