Designing, building, and maintaining scalable data models that power internal reporting and experimentation insights within PIE
Transforming raw event and product data into clean, tested datasets ready for analysis
Collaborating with Product Managers and Engineers to define and standardise product metrics
Implementing data validation and quality checks to ensure accuracy and reliability
Improving documentation and metric clarity to increase transparency and trust in reporting
Contributing to the evolution of analytics engineering workflows, modelling patterns, and tooling within PIE

You have experience writing advanced SQL and working with modern data transformation tools (e.g. dbt or similar)
You have a strong understanding of data modelling principles and analytics engineering best practices
You’ve worked with large datasets in cloud data warehouse environments
You can translate product questions into structured, scalable data solutions
You’re a strong communicator who enjoys collaborating with cross-functional stakeholders
You have a growth mindset and are motivated to deepen your technical craft

Equity packages — we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
Flexible leave options that empower you to be a force for good, take time to recharge and support you personally

Analytics Engineer – Product Insights, Enablement

Key skills