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 reportsPerform 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 AnalystStrong SQL is a must: complex joins, window functions, CTEs and basic query optimizationExperience 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 visualisationsExperience with BI tools, ideally TableauSolid understanding of product analytics: user and business metrics, cohorts, retention, funnels, basic principles of A/B testing and experimentationAbility to translate a business question into an analytical task and back: propose metrics, cuts and methodology, explain results in a clear, non-technical wayEnglish В1+: comfortable reading documentation and written communication; calls with English-speaking colleagues/clients are a plusNice to have:Experience in iGaming / fintech / B2B SaaS / marketing platformsParticipation in event tracking / logging design together with BA/PM/engineeringUnderstanding of iGaming unit economics (deposits, bonuses, bets, NGR, etc.)Basic statistics: confidence intervals, p-values, common pitfalls in experiment interpretationOur Benefits:Full-time remote work opportunities and flexible working hoursPrivate insuranceAdditional 1 Day Off per calendar yearSports program compensationComprehensive Mental Health ProgrammeFree online English lessons with a native speakerGenerous referral programTraining, internal workshops, and participation in international professional conferences and corporate events