Own the analytics consumption layer across our enterprise data platform
Lead the design and delivery of dbt models in Snowflake
Shape a trusted, scalable Power BI semantic layer that supports consistent, high-quality reporting across multiple regions
Collaborate closely with domain experts, platform engineers, and stakeholders to ensure metrics are meaningful, trusted, and actionable
Influence how we responsibly adopt AI-enabled analytics and semantic models

Deep experience in analytics engineering, including advanced SQL, dbt Core, and Snowflake (or similar cloud data platforms)
Strong expertise in Power BI, including semantic modelling, DAX, and building enterprise-grade reporting layers
Proven ability to lead through influence, setting standards and guiding teams without formal people management
A solid foundation in dimensional modelling and BI design principles
Exceptional communication skills—able to bridge the gap between technical teams and business stakeholders
Highly Regarded Experience with Apache Airflow, Meltano, or similar orchestration tools
Exposure to AWS-based data platforms
Practical Python skills for automation or analytics
Interest in AI within the analytics stack, particularly semantic models and trustworthy AI-assisted BI

Lead Analytics Engineer

Key skills