Analytics Engineer (AI)

Location: Remote, Astana

Company

ZiMAD is a US mobile game publisher and developer creating global free-to-play games and data-driven product experiences.

What you will do

• Design and maintain modular, incremental, tested, documented, and version-controlled analytical transformation models.
• Establish standards for analytics engineering, including transformation tooling, testing, code review, and CI.
• Own company-wide metric definitions and reconcile granularity, attribution windows, and naming across data sources.
• Build analytical datasets for user acquisition, monetization, creative performance, incrementality, dashboards, and reports.
• Model and document self-serve datasets while owning data quality, freshness, consistency monitoring, and source reconciliation.
• Build semantic data access layers for AI agents, evaluate outputs against trusted data, and optimize query performance and cost.

Requirements

• 3–5+ years of experience in analytics engineering, BI development, or data engineering with production ownership of a transformation layer.
• Strong SQL and experience with ClickHouse or willingness to deepen ClickHouse expertise; experience with Postgres, BigQuery, or Snowflake is also relevant.
• Production experience with dbt, SQLMesh, Dataform, or an equivalent transformation framework, including modular models, testing, documentation, and CI.
• Strong analytical data modeling judgment and the ability to turn ambiguous business questions into data models with stakeholders.
• Git, code review, and enough Python to automate analytical engineering work.

Nice to have

• Experience with mobile games or apps and metrics such as D7 ROAS, cohort LTV, ARPDAU, and retention.
• Practical experience with AI or LLM tools for text-to-SQL, RAG over structured data, MCP, agent integrations, or output evaluation.
• Experience with Airflow, Dagster, Superset, or comparable tools.

Culture & Benefits

• Remote work with a flexible schedule.
• Opportunity to participate in the full product development cycle.
• Career growth within an international company.
• Bonuses based on KPI achievement and project financial results.
• Paid conferences, training, language courses, workshops, and psychologist sessions.
• Opportunities to participate in charity projects.