Game District

Product Analyst

Lahore, Punjab, Pakistan - Full Time

Product Analyst

RESPONSIBILITIES
Pillar 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
Apply: Product Analyst
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Do you have experience as a Product/Data Analyst in a mobile game or consumer app? If yes, mention the company and years of experience.*
Rate your SQL proficiency (1–10) and list the most advanced SQL concepts you've used (e.g., Joins, CTEs, Window Functions).*
Which product/gaming KPIs have you worked with? (e.g., D1/D7 Retention, LTV, ROAS, ARPDAU, Funnels, Cohorts).*
Which analytics tools have you used hands-on? (AppsFlyer, Firebase, Amplitude, Mixpanel, Tableau, Looker, BigQuery, etc.).*
Have you analyzed A/B tests? If yes, mention one experiment and its outcome.*
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