Data Analyst

Responsibilities

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
  
  

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
  
  

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
  
  

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
  
  

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
  
  

REPORTING STRUCTURE & COLLABORATION

Reports to: Head of Analytics / Data Lead (or jointly to UA Manager and Product Lead where no Head of Analytics exists.)

Collaborates with: UA managers, product managers, live-ops team, monetisation team, engineering (for event tracking), and creative team.

Required Qualifications

• 2–4 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

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