3+ years in analytics engineering, data analytics, BI, or data engineering, ideally in high-growth SaaS, with a high-ownership mindset and comfort when priorities change
Advanced SQL and dbt skills, with experience designing maintainable data models and applying strong standards for testing, documentation, and data quality
Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, with a strong understanding of ELT, dimensional modelling, and data governance
Proven ability to define trusted metrics, build useful dashboards or self-serve reporting, and partner with stakeholders to turn ambiguous questions into clear analytical work
Strong product and commercial instincts, with the ability to connect user behaviour, experimentation, and revenue outcomes, then explain the insights in a simple, practical way
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