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XIMAD

Analytics Engineer

All Cannings
Posted about 10 hours ago
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Analytics Engineer

Office: All geos


Are you passionate about your work and want to pursue your dreams?

Join the ZiMAD team, and let’s collaborate to create exceptional games together!

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. With an impressive portfolio of world-class free-to-play projects, including titles like Magic Jigsaw Puzzles, Puzzle Villa, Art of Puzzles, Dominoes, and many others, we constantly push boundaries and believe that games can be more than just entertainment.

We’ve forged partnerships with internationally renowned IPs (like Disney, Nickelodeon, LIFE, Sony Pictures etc.) and strive to develop games that sharpen mental well-being and deliver remarkable user experiences.

We are looking for a Software Engineer for Infrastructure Projects.

About The Role

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.

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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Nice to have

  • 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

We Offer

  • 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

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Skills

SQL
ClickHouse
dbt
Data Modeling
Python
Git
BI Development
Data Engineering
Postgres
BigQuery
Snowflake
CI/CD
Analytical Transformation
Metric Definition
AI/LLM Integration
Data Quality Monitoring

Location

All Cannings, England, United Kingdom

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