Senior Product Analyst

Game District; Pakistan; On-site; PKR 2,400,000 - 4,200,000; Full time

Job summary

Game District is seeking a Senior Product Analyst to drive data-powered insights across player behavior, user acquisition, monetization, and live-ops for our mobile gaming product. You will build dashboards, run cohort and funnel analyses, and translate findings into actionable recommendations for product and live-ops teams.

Proficiency in SQL, BI tools, and attribution platforms is essential for success in this role.

Qualifications

• 5 years of experience in a data analyst or analytics role, preferably in mobile gaming or a consumer app environment.

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

Excel/Sheets

BI tools

Mobile analytics KPIs

Communication

Tools

Tableau

Looker

Mode

Google Data Studio

Google Sheets

Excel

AppsFlyer

Adjust

Singular

Amplitude

Mixpanel

Firebase

GameAnalytics

BigQuery

Snowflake

Redshift

Databricks

Jira

Asana

Notion

Job description

Job Description:

Senior 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

Requirements: