Analytics Engineer (Gamedev)

TL;DR

Analytics Engineer (Gamedev): Designing and maintaining the analytical transformation layer for mobile game products with an accent on data modeling, metric consistency, and query performance. Focus on building robust data marts, implementing engineering standards for analytics code, and developing data access layers for AI-driven tools.

Company

hirify.global is a US-based mobile game publisher and developer with a diverse portfolio of world-class free-to-play projects and a global presence.

What you will do

• Design and maintain modular, tested, and version-controlled analytical transformation layers.
• Establish engineering standards for analytics code, including testing, documentation, and CI/CD.
• Own metric definitions across sources to ensure company-wide consistency for KPIs like ROAS, LTV, and retention.
• Build analytical datasets to support dashboards for UA, monetization, and creative performance.
• Develop data access layers for AI agents, including semantic descriptions and output evaluation.
• Optimize analytical workloads for performance and cost efficiency.

Requirements

• 3–5+ years of experience in analytics engineering, BI development, or data engineering.
• Strong proficiency in SQL, with a preference for ClickHouse experience.
• Hands-on production experience with transformation frameworks like dbt, SQLMesh, or Dataform.
• Solid judgment in analytical data modeling and schema design.
• Proficiency in Git, code review, and Python for automation.
• Ability to translate ambiguous business requirements into structured data models.

Nice to have

• Experience with mobile game metrics such as D7 ROAS, cohort LTV, and retention curves.
• Practical experience with AI/LLM tools in a data context, such as text-to-SQL or RAG.
• Familiarity with orchestration tools like Airflow or Dagster.
• Experience with BI platforms like Superset.

Culture & Benefits

• Opportunity to work on global free-to-play projects with a massive user base.
• Flexible working schedule and remote work opportunities.
• Bonuses based on project KPIs and financial results.
• Support for professional development through paid conferences, training, and language courses.
• Access to mental health support sessions with psychologists.