Senior Mobile Gaming Analytics Lead

Game District

Pakistan

On-site

PKR 2,400,000 - 4,200,000

Full time

8 days ago

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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.