Senior Product Analyst

About the role

This role covers five pillars of product analytics for a mobile gaming business: player behaviour and retention, user acquisition and paid channel performance, monetisation and revenue, live-ops and event tracking, and A/B testing and experimentation. It sits at the intersection of data analysis, reporting and product decision-making.

Key responsibilities

• Monitor player health, retention, engagement and churn; run cohort, funnel and segmentation analyses and flag churn risks and metric anomalies.
• Own UA performance reporting across paid channels, build attribution dashboards and deliver post-campaign insights.
• Track revenue across IAP products, geos and platforms, build LTV models and reconcile platform revenue.
• Own live-ops event tracking, measure event impact and maintain event performance history.
• Design, run and analyse A/B and multivariate experiments, maintain an experimentation backlog and log.

Required profile

• 5 years of experience in a data analyst or analytics role, preferably in mobile gaming or a consumer app.
• Ability to scope an analytical question, structure an approach and deliver a recommendation.
• Strong written and verbal communication, presenting findings to non-technical stakeholders.

Required skills

• SQL, including joins, window functions, aggregations and subqueries.
• Excel or Google Sheets for ad-hoc analysis.
• A BI or dashboarding tool such as Tableau, Looker, Mode or Google Data Studio.
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust, Singular).
• Working knowledge of mobile gaming KPIs across retention, UA and monetisation.

PREFERRED: Python or R, hands-on A/B testing with confidence intervals and p-values, event-level pipelines (Firebase, GameAnalytics, Amplitude, Mixpanel), LTV model building, IAP and subscription monetisation, live-ops analytics, and cloud data warehouses such as BigQuery, Snowflake, Redshift or Databricks.