Analytics Engineer – Product Insights, Enablement
Canva
full-time
Posted on:
Location Type: Remote
Location: Australia
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About the role
- 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
Requirements
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingdata transformationdata validationdata quality checksanalytics engineeringlarge datasetscloud data warehouse
Soft Skills
communicationcollaborationgrowth mindset