Senior Data Analyst

Senior Data Analyst

RESPONSIBILITIESPillar 1  ·  PLAYER BEHAVIOUR & RETENTION ANALYTICS

• Build dashboards to monitor player health, retention, engagement, and churn.
• Perform cohort, funnel, and player segmentation analyses to uncover behavioral insights.
• Identify churn risks, engagement opportunities, and metric anomalies, delivering actionable recommendations to product and live-ops teams.

Pillar 2 ·  UA & PAID CHANNEL PERFORMANCE

• Own UA performance reporting across paid channels, tracking acquisition, conversion, and ROAS metrics.
• Build attribution dashboards and analyze campaign, channel, creative, and geo performance to drive optimization.
• Deliver actionable post-campaign insights, monitor paid vs. organic trends, and identify top-performing creatives.

Pillar 3 ·  MONETISATION & REVENUE ANALYTICS

• Track and report revenue across IAP products, geos, platforms, and player segments while monitoring core monetization KPIs.
• Build LTV models, analyze IAP offer performance, and identify high-value payer segments to optimize monetization.
• Reconcile platform revenue, investigate anomalies, and provide actionable insights to support monetization decisions.

Pillar 4  ·  LIVE-OPS & EVENT TRACKING

• Own live-ops event tracking, ensuring accurate instrumentation and real-time performance monitoring.
• Measure event impact on engagement, retention, and revenue through pre/post-event analysis and KPI tracking.
• Maintain event performance history and deliver timely post-event reports with actionable recommendations.

Pillar 5  ·  A/B TESTING & EXPERIMENTATION

• Design, execute, and analyze A/B and multivariate experiments across product, monetization, and store surfaces.
• Ensure statistically sound testing by defining success metrics, validating test integrity, and delivering data-backed recommendations.
• Maintain an experimentation backlog and log to prioritize, track, and scale high-impact learnings.

REQUIRED QUALIFICATIONS

• 5 years of experience in a data analyst or analytics role, preferably in mobile gaming or a consumer app environment.
• Proficiency in SQL — able to write complex queries independently (joins, window functions, aggregations, subqueries).
• Strong working knowledge of Excel or Google Sheets for ad-hoc analysis and reporting.
• Experience with at least one BI or dashboarding tool: Tableau, Looker, Mode, or equivalent.
• Familiarity with mobile attribution platforms: AppsFlyer, Adjust, or Singular.
• Working knowledge of core mobile gaming KPIs across retention, UA, and monetisation.
• Ability to independently scope an analytical question, structure an approach, and deliver a clear output with a recommendation.
• Strong written and verbal communication — able to present findings to non-technical stakeholders without losing accuracy.

PREFERRED QUALIFICATIONS

• Experience with Python or R for data manipulation, statistical analysis, or modelling.
• Hands-on experience designing and analysing A/B tests with statistical rigour (confidence intervals, p-values, MDE calculation).
• Familiarity with event-level data pipelines (e.g. Firebase, GameAnalytics, Amplitude, Mixpanel, or a custom CDP).
• Experience building or maintaining LTV models for mobile games.
• Knowledge of mobile game monetisation structures: IAP, subscriptions, battle passes, ad monetisation.
• Exposure to live-ops analytics or seasonal event measurement.
• Experience with cloud data warehouses: BigQuery, Snowflake, Redshift, or Databricks.

 

TOOLS & PLATFORMS

Query & Analysis:  SQL (BigQuery / Snowflake / Redshift), Python / R (preferred) BI & Dashboards:  Tableau / Looker / Mode / Google Data Studio Attribution:  AppsFlyer / Adjust / Singular Event Analytics:  Amplitude / Mixpanel / Firebase / GameAnalytics Store Consoles:  App Store Connect, Google Play Console Paid UA (reporting):  Meta Ads Manager, Google UAC, TikTok Ads, Apple Search Ads Spreadsheets:  Google Sheets / Excel Project Management:  Jira / Asana / Notion