Senior Data Analyst

Lahore, Pakistan

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Build dashboards and analyses on player retention, engagement and churn
Own UA performance reporting and attribution dashboards across paid channels
Track IAP revenue and build LTV models to find high-value payer segments
Own live-ops event tracking and measure event impact through pre/post analysis
Design, run and analyze A/B and multivariate experiments

From the employer’s posting

Build dashboards to monitor player health, retention, engagement, and churn.

Own UA performance reporting across paid channels, tracking acquisition, conversion, and ROAS metrics.

Build LTV models, analyze IAP offer performance, and identify high-value payer segments to optimize monetization.

Own live-ops event tracking, ensuring accurate instrumentation and real-time performance monitoring.

Design, execute, and analyze A/B and multivariate experiments across product, monetization, and store surfaces.

What you’ll bring

All qualifications

Core experience

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).
Experience with at least one BI or dashboarding tool: Tableau, Looker, Mode, or equivalent.
Familiarity with mobile attribution platforms: AppsFlyer, Adjust, or Singular.
Ability to independently scope an analytical question, structure an approach, and deliver a clear output with a recommendation.

Preferred experience

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.
Experience building or maintaining LTV models for mobile games.

Qualification wording

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).

Experience with at least one BI or dashboarding tool: Tableau, Looker, Mode, or equivalent.

Familiarity with mobile attribution platforms: AppsFlyer, Adjust, or Singular.

Ability to independently scope an analytical question, structure an approach, and deliver a clear output with a recommendation.

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.

Apply at Game District

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 20261 day ago
Recorded sightings: 2
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

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From 10,536 similar postings that came down. Coming down is not always a hire.

Game District is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
BigQuery
Databricks
Excel
Looker
Redshift
Snowflake
Tableau

Where the posting names them

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).

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

- 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.

- Exposure to live-ops analytics or seasonal event measurement. - Experience with cloud data warehouses: BigQuery, Snowflake, Redshift, or Databricks. TOOLS & PLATFORMS

- 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.

- 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.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

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

Source details

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