Product Analyst

Game District


Date: 2 weeks ago
City: Lahore
Contract type: Full time
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

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