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Description supplied by the original job listing.
Responsibilities:
Own end-to-end analysis of key game metrics: retention (D1/D7/D30), engagement, monetisation (ARPDAU, ARPPU, LTV), and funnel conversion to identify growth opportunities and risks.
Partner with Product Managers and Game Designers to define KPIs for new features, events, and content updates, and measure post-launch impact, while designing, executing, and interpreting A/B tests with statistical rigour.
Build and maintain self-serve dashboards (Looker, Tableau, Power BI) and conduct deep-dive analyses on player segments (whales, churners, new users) to inform personalisation and CRM/lifecycle strategies.
Collaborate with User Acquisition teams on campaign performance, cohort LTV modelling, and marketing spend efficiency (ROAS, payback period), while writing and optimising SQL queries against large-scale event/telemetry data.
Translate complex findings into clear, actionable narratives for stakeholders and leadership, and contribute to forecasting and business reviews (revenue, DAU/MAU, live-ops calendar impact).
Requirements:
3+ years of experience in analytics, data science, or BI, ideally within mobile gaming, F2P products, or another consumer app/subscription/marketplace environment with high-volume event data.
Strong SQL skills (window functions, CTEs, query optimisation) and hands-on experience querying large datasets (BigQuery, Snowflake, Redshift, or similar).
Solid grounding in statistics, experimentation design, A/B testing, significance testing, and cohort/retention analysis.
Proficiency with a BI/visualization tool (Looker, Tableau, Power BI, or similar).
Familiarity with core F2P/gaming metrics: DAU/MAU, retention curves, ARPDAU, LTV, IAP conversion, and funnel drop-off.
Experience with Python or R for analysis (pandas, statistical modelling) is a plus, along with excellent communication skills to distil data into a story and defend it in front of stakeholders.
A proactive, curious mindset with strong business acumen and comfort operating in ambiguity.
Good to Have:
Experience with mobile analytics/attribution platforms (Adjust, AppsFlyer, Firebase, GameAnalytics, Amplitude, Mixpanel).
Exposure to LTV/churn prediction modelling or basic machine learning techniques.
Understanding of live-ops cadence, seasonal events, and monetisation design in mobile games.
Experience presenting to senior leadership or cross-functional executive teams.
Experience
3-6 yrs
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