Lead, Data Analytics (Gaming)

Electronic Arts

Quick summary

Work type
On-site
Location
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Posted
5 days ago
Nearby
1 role within 25 mi

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Salary context

How this pay compares to similar roles

Similar $169k
$117k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $126,800–$211,200.

Based on 240 similar postings.

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About Electronic Arts

Electronic Arts is a global leader in digital interactive entertainment, developing and publishing games for consoles, mobile, and PC under franchises including FIFA, Madden NFL, The Sims, Apex Legends, and Battlefield.

Electronic Arts currently has 87 open roles on FindRole.

Listed pay typically runs $122,300–$170,700 across 49 roles with salary data.

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At a glance

TL;DR · Lead, Data Analytics (Gaming)

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As a Quality Expert - Telemetry Lead at EA's Kuala Lumpur studio, you will lead telemetry strategy and data frameworks for Apex Legends, using AI and Machine Learning to transform raw data into actionable quality insights. Your daily responsibilities include driving the implementation of telemetry methodology across teams, integrating it into the software development lifecycle, and guiding data-driven decisions with predictive analytics. You'll collaborate closely with Quality Verification (QV), Development, and LiveOps teams to ensure reliable and consistent data coverage, while also mentoring team members in technical and analytical skills. The ideal candidate has over 8 years of experience leading telemetry frameworks at scale, familiarity with tools like Power BI and Tableau for data visualization, and a strong background in game development lifecycles and risk-based quality approaches.

Skills

AI/ML Power BI Tableau Grafana CI/CD Python SQL Kafka Hadoop Spark PostgreSQL Docker Kubernetes AWS Azure GitHub Jenkins Prometheus Scrum Agile

What you'll do

  • Drive the implementation and continuous improvement of telemetry methodology.
  • Lead integration of telemetry into SDLC for early quality insights.
  • Use AI/ML models to detect anomalies, predict defects from telemetry data.
  • Compile and interpret complex data into summaries communicating quality status.
  • Implement predictive analytics to identify quality risks early in development.
  • Align telemetry coverage with broader data strategy ensuring consistency across teams.

What we're looking for

  • 8+ years of experience in telemetry, data analytics, or quality technology leadership.
  • Proven track record building and maintaining telemetry frameworks for large-scale products.
  • Expertise in defining and implementing data instrumentation standards and pipelines.
  • Background in data analysis, automation, and AI/ML for predictive insights.
  • Experience mentoring team members to develop technical skills and knowledge.
  • Familiarity with visualization tools like Power BI, Tableau, or Grafana.
  • Knowledge of CI/CD integration for telemetry pipeline implementation.

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