Tech Stack

Description

You'll collaborate with engineers, product teams, and analysts to design, build, and evolve self-serve data products that are scalable at petabyte levels. You'll oversee the entire data product lifecycle from tracking plan design to dashboards, focusing on technical KPIs for mobile game performance and engineering health metrics. You'll also integrate third-party observability tools, safeguard data quality, and leverage AI/LLM-powered workflows to improve productivity.

Requirements

• 5+ years experience in data analytics or engineering
• Deep expertise in modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub)
• Strong SQL skills and solid understanding of data modeling principles (Kimball, star schemas)
• Experience with technical KPIs for mobile games and engineering metrics
• Proven ability to translate business needs into analytics solutions

Responsibilities

• Collaborate with engineers, product teams, and analysts to develop self-serve insight products at petabyte scale
• Oversee the data product lifecycle: tracking plans, data models, ELT pipelines, and Looker explores/dashboards
• Build and maintain data products for technical KPIs (crash rates, ANRs, latency, etc.) and engineering health metrics
• Integrate, model, and maintain data from third-party tools (Datadog, Bugsnag, etc.)
• Apply AI/LLM-powered workflows across analytics engineering stages