Analytics Engineer Personalisation

Join the team redefining how the world experiences design.

Hey gday mabuhay kia ora 你好 hallo vítejte!

Thanks for stopping by. We know job hunting can be a little time consuming and youre probably keen to find out whats on offer so well get straight to the point.

Where and how you can work

Our flagship Sydney campus is uniquely Canva - an extension of our Surry Hills neighbourhood. Its a thoughtfully designed space with plenty of room to collaborate focus and connect.

This role is based in Sydney and were looking for someone who calls it home. Our hybrid way of working gives you the flexibility to work remotely and to come together on campus for meaningful in-person collaboration and connection when it matters most. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What youd be doing in this role

As Canva scales change continues to be part of our DNA. But we like to think thats all part of the fun. So this will give you the flavour of the type of things youll be working on when you start but this will likely evolve.

At the moment this role is focused on

• Build test and maintain dbt models and Snowflake semantic views that clean transform and structure data for use by product managers data scientists and engineers across Canva

• Own the integration between PPS (Personalisations admin portal) and Snowflake ensuring the data that lives in PPS is reliably surfaced in our data platform and available for broader analysis and reporting

• Write clear well-tested SQL to answer business questions and support self-serve analytics for stakeholders

• Partner with data scientists and ML engineers to understand their data needs and make sure the right features and signals are available in a usable form

• Gather and scope requirements from stakeholders across product data science and engineering translating ad hoc requests into well-defined prioritised data work

• Support onboarding of key metrics into Canvas Metrics Platform ensuring they are consistently defined well-documented and accessible across the business

• Support experiment reporting by maintaining the data pipelines and models that feed Personalisations dashboards and analysis workflows

• Document your models and data assets clearly so that others can understand trust and build on your work

• Participate in code reviews and give and receive feedback to maintain quality across the teams codebase

• Investigate and resolve data issues working collaboratively with engineers and stakeholders to get to root cause

Youre probably a match if

• Your SQL is advanced and your data modelling instincts are sharp; youve worked with event-oriented datasets at scale across large volumes and diverse schemas and you know the difference between data thats technically present and data thats actually trustworthy.

• Experience with Snowflake; including building semantic views and understanding how to model data for broad self-serve consumption is a strong plus.

• You understand ELT principles deeply and apply them well and youre familiar with data warehousing concepts including architecture schema design performance optimisation and best practices.

• You have Python skills and you feel comfortable using AI tools in your workflows.

• You have a mindset for computational efficiency you think about the cost implications of the models you build and look for opportunities to optimise query performance and warehouse spend as a matter of good craft.

• Youve built models and reporting systems that people actually use. Beyond the technical side youre someone who takes ownership youre used to tracking and delivering on goals working both independently and as part of a team.

• Youre comfortable gathering and scoping requirements from stakeholders across product data science and engineering and translating ambiguous asks into well-defined data work.

• Most importantly youre curious and self-driven: you dont wait to be handed the next technique or tool you go looking for it.

About the team

Personalisation sits across Canvas Growth and Discovery Supergroups and our goal is to make Canva feel like it was built just for you. We partner closely with product data science and engineering to translate user signals into smarter more relevant onsite experiences. Our work directly influences how millions of people first encounter Canva and how they continue to find value over time.

As an Analytics Engineer in Personalisation youll be an important part of how we turn raw data into trusted well-modelled datasets that power our teams most important decisions. Youll work closely with machine learning engineers and data scientists to build and maintain dbt models support experimentation reporting and make sure the right data is in the right shape for the people who need it. A key part of this role will be supporting Canvas messaging orchestration platform ensuring the analytics infrastructure is in place to measure and improve how we guide every user towards value. This is a role for someone whos ready to develop strong fundamentals in data modelling SQL craft and analytics engineering best practices with mentorship and room to grow. Your work will have a direct impact on how the Personalisation team understands its users and measures whats working.

Whats in it for you

Achieving our crazy big goals motivates us to work hard - and we do - but youll experience lots of moments of magic connectivity and fun woven throughout life at Canva too. We also offer a stack of benefits to set you up for every success in and outside of work.

Heres a taste of whats on offer:

• 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 supports you personally

Check out for more info.

Other stuff to know

We make hiring decisions based on your experience skills and passion as well as how you can enhance Canva and our culture. When you apply please tell us the pronouns you use and any reasonable adjustments you may need during the interview process.

We celebrate all types of skills and backgrounds at Canva so even if you dont feel like your skills quite match whats listed above - we still want to hear from you!

Please note that interviews are conducted virtually.

Remote Work :

No

Employment Type :

Full-time