Analytics engineer in mobile games

ZiMAD is a US mobile game publisher and developer that has been at the forefront of the gaming industry since 2009. We are a dynamic multinational team, speaking 15 languages and living in 63 cities across 17 countries.

• Design and maintain the analytical transformation layer — staging, core and mart models that are modular, incremental, tested, documented and version-controlled
• Establish engineering standards for analytics code: transformation tooling, testing, code review and CI
• Own metric definitions across sources. Reconcile granularity, attribution windows and naming so ROAS, cohort LTV, retention, ARPDAU and spend mean one thing company-wide
• Build the analytical datasets behind dashboards and reports on UA, monetization, creative performance and incrementality
• Make data self-serve: model and document datasets so product, UA and monetization teams can answer their own questions
• Own data quality for the models in scope — tests, freshness and consistency monitoring, source-to-source reconciliation
• Build the data access layer for AI agents: semantic descriptions, curated query interfaces, guardrails, and evaluation of agent output against trusted data
• Optimize analytical workloads for query performance and cost

• 3–5+ years in analytics engineering, BI development or data engineering, with production ownership of a transformation layer
• Strong SQL. ClickHouse experience preferred — window functions, arrays, materialized views, AggregatingMergeTree. Deep Postgres, BigQuery or Snowflake experience is welcome if you’re keen to go deep on ClickHouse
• Hands-on production experience with a transformation framework — dbt, SQLMesh, Dataform or equivalent — including modular models, testing, documentation and CI
• Solid analytical data modeling judgment — knowing when a wide event or user-level table beats a star schema, and why
• Ability to turn an ambiguous business question into a data model through conversation with stakeholders
• Git, code review, and enough Python to automate your own work
• Будет плюсом: Experience with mobile games or apps and fluency in their core metrics — D7 ROAS, cohort LTV, ARPDAU, retention curves — and why numbers differ between sources; Practical experience with AI/LLM tools in a data context: text-to-SQL, RAG over structured data, MCP or similar agent integrations, evaluation of model outputs; Orchestration tools (Airflow, Dagster or similar); Superset or a comparable BI platform

• Opportunity to work for ZiMAD, a US company with a diverse portfolio of global free-to-play (F2P) projects with a multi-million monthly user base
• Involvement in the entire product development cycle
• Career growth prospects within an international company
• Remote work opportunities
• Flexible working schedule
• Bonuses based on the achievement of KPIs and financial results of projects
• Paid conferences, training (including language courses), and workshops
• Opportunity to have sessions with psychologists to improve your mental health and well-being
• Participation in charity projects