Senior Data Analyst

Game District; Punjab; On-site; PKR 1,000,000 - 1,500,000; Full time

Job summary

Game District is seeking a Senior Data Analyst to build dashboards monitoring player health, retention, engagement, and monetization across mobile games. The role requires advanced SQL, BI tooling, and strong communication to translate data into actionable insights.

Based in Pakistan, this is a full-time position. You will lead cohort and funnel analyses, ownership of UA/paid channel reporting, live-ops event tracking, and A/B testing to inform product decisions and growth strategies.

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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Skills

SQL proficiency

Excel / Sheets

Data storytelling

Communication skills

Stakeholder engagement

Tools

Tableau

Looker

Mode

Google Data Studio

AppsFlyer

Adjust

Singular

Amplitude

Mixpanel

Firebase

GameAnalytics

App Store Connect

Google Play Console

Google Sheets

Excel

Jira

Asana

Notion

Job description

Senior Data 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