XIMAD
Analytics Engineer (Middle)
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Analytics Engineer (Middle)
Office: All geos
Job Description
Join our innovative tech company, a leader in developing cutting-edge free-to-play (F2P) mobile games enjoyed by millions every month. We value a friendly, inclusive culture that encourages creativity, learning, and collaboration. You’ll work with a multinational team building engaging products and delivering great player experiences.
We are looking for a Software Engineer for Infrastructure Projects. We build mobile games. User acquisition, monetization, LiveOps and product decisions all run on data — and this role owns the modeling layer everything else depends on: the data marts, metric definitions and semantic layer behind reporting, ad-hoc analysis and our AI-driven tools.
Key Responsibilities
- 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
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Requirements
- 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
Preferred Qualifications
- 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
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Working Conditions
Schedule
- Full-time with flexible hours; remote
Benefits
- Work on global F2P projects reaching millions monthly
- Involvement across all stages of product development
- Remote work and flexible schedules
- KPI- and success-based bonuses
- Career growth in an international setting
- Paid conferences, training, and workshops
- Support for key life events (one-time assistance options)
- Referral program
- Access to mental health sessions with psychologists
- Participation in charitable initiatives
Application Process
Please submit your resume and a brief cover letter via our Careers page or job@zimad.com.
Selection Stages
- Screening call – interviews with the teams – final interview
Are you passionate about your work and ready to grow? Join the ZiMAD team and let’s create exceptional games together!
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