Senior Analytics Engineer (Gamedev)

TL;DR

Senior Analytics Engineer (Gamedev): Develop self-serve insight products that are responsive, precise, and scalable at petabyte levels with an accent on data modeling, ELT pipelines, and self-serve insight products. Focus on technical KPIs that inform mobile game performance at scale and internal engineering health metrics.

Location: Culver City, United States

Salary: $184,000 - $220,000 USD

Company

hirify.global is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences.

What you will do

• Collaborate with engineers, product teams, and analysts to develop self-serve insight products.
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products.
• Build and maintain data products around technical KPIs that inform mobile game performance at scale.
• Integrate, model, and maintain data from third-party tools, ensuring these external sources are reliable and well-documented.
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products.
• Leverage AI and LLM-powered workflows across all stages of analytics engineering.

Requirements

• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows).
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles.
• Solid understanding of data modeling principles.
• Understanding of technical KPIs and performance metrics for mobile games at scale.
• Hands-on experience integrating and modeling data from third-party platforms.
• Hands-on experience with data observability frameworks and data validation methods.

Nice to have

• A strong passion for solving complex analytical puzzles.
• Proven ability to translate business needs into advanced analytics solutions.
• A strong product mindset, with experience designing data products as user-facing solutions rather than one-off analyses.
• Active use of AI and LLM-powered tools across the analytics engineering workflow.
• Enjoyment in working within fast-paced, growth-oriented environments.

Culture & Benefits

• Employees may be eligible for equity, bonuses, and a comprehensive benefits package.
• Benefits include healthcare benefits, retirement benefits, pet insurance, paid holidays, paid hirify.global free days, and unlimited paid time off.