Own the data models that scale our portfolio and turn messy questions into high-stakes decisions.
Help define how we measure the business.
Work closely with product, monetisation, UA, and finance leads.
Ensure mobile KPIs are accurate, explainable, and trusted.
Split between building elite data infrastructure and data analysis.
Design and maintain the dbt project on BigQuery.
Build and iterate on dashboards that give non-technical teams confidence to make decisions.
Dig into the data, investigate anomalies, and surface insights.

5+ years of hands-on analytics engineering or a senior analyst role with heavy SQL and modelling work.
Strong SQL fluency and real experience with a cloud data warehouse (BigQuery preferred; Snowflake or Redshift also fine).
2+ years of production dbt experience: you've built and maintained dimensional models, written incremental models, authored macros, and set up tests that catch real problems.
Track record of building dashboards for non-technical stakeholders
people who judge your work by whether it helps them make better decisions, not by how clever the SQL is.
Genuine curiosity about the data you work with.
Ability to ramp up fast on unfamiliar business domains.
Clear, concise communicator.

Analytics Engineer

Key skills