Canva

Computer Software

SeniorAnalyticsEngineer-ProductInsights&Enablement

Sydney, New South Wales, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Senior Analytics Engineer - Product Insights & Enablement at Canva. Skills: advanced SQL, modern data transformation tools (e. g. dbt or similar), data modelling principles, analytics engineering best practices, large datasets in cloud data warehouse environments, translating product questions into structured, scalable data solutions. transforming raw event and product data into clean, scalable, well-documented data models. solving moderately complex data problems”

What You'll Achieve.

enable product teams to deeply understand how our internal tools are being used - and where they deliver value; ship with confidence; measure outcomes at scale

Industry & Context.

Computer Software
Problems you'll solve

solving moderately complex data problems; translate product questions into structured, scalable data solutions

What They're Looking For.

Must Have

advanced SQL, modern data transformation tools (e. g. dbt or similar), data modelling principles, analytics engineering best practices, worked with large datasets in cloud data warehouse environments, translate product questions into structured, scalable data solutions

Nice to Have

growth mindset, motivated to deepen your technical craft

What You'll Do.

transforming raw event and product data into clean

well-documented data models

solving moderately complex data problems

applying established modelling best practices

contributing to improvements in PIE’s reporting ecosystem

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

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

and tooling within PIE

How You'll Work.

Team & Collaboration

collaborate closely with Product Managers and Engineers; building partnerships; collaborating with cross-functional stakeholders

Communication Scope

communicator; collaborating with cross-functional stakeholders

Full Job Description

Join the team redefining how the world experiences design. Hey, g’day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you’re probably keen to find out what’s on offer, so we’ll get straight to the point. Where and how you can work Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work — we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. What you’d be doing in this role As Canva scales, our ability to make fast, confident, data-informed decisions is critical. Within Product Platform , the Product Insights & Enablement (PIE) group enables teams to ship with confidence by providing trusted data foundations, experimentation insights, and measurable product impact. As a Senior Analytics Engineer in PIE, you’ll sit at the intersection of data engineering and analytics. Your focus will be on transforming raw event and product data into clean, scalable, well-documented data models that enable product teams to deeply understand how our internal tools are being used - and where they deliver value. You’ll operate with growing independence - solving moderately complex data problems, applying established modelling best practices, and contributing to improvements in PIE’s reporting ecosystem. You’ll collaborate closely with Product Managers and Engineers, building strong partnerships while deepening your craft. At the moment, this role is focused on: • 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 • Imp

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