Analytics Engineer - SEO

Sydney, Australia

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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 time-consuming, so let’s get straight to the point.

Where and how you can work

Our flagship campus is in Sydney, with additional spaces in Melbourne, Brisbane, Perth, and Adelaide. You have the flexibility to work from the office, home, or a mix of both—it’s your choice. 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, change is part of our DNA. While your role will evolve over time, here’s a flavour of what you’ll be working on when you start:

  • Building SEO Data Pipelines: Develop, maintain, and improve data pipelines to ensure SEO data is available, accurate, and optimised for insights.

  • Enhancing SEO Data Models: Build and refine SEO-related data models in the data warehouse, ensuring scalability and compliance with platform standards.

  • Streamlining Processes: Create automation solutions to simplify reporting and analytics processes, freeing up time for high-value work.

  • Collaborating Across Teams: Work closely with SEO specialists, product managers, data scientists, and engineers to align on projects and deliverables.

You're probably a match if…

  • You have proven experience as an Analytics Engineer, Data Engineer, or in a similar role.

  • You’re proficient in SQL and have experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift).

  • You have experience building data pipelines and working with ETL/ELT or reverse ETL tools like dbt, Airflow, Census or similar.

  • You have worked with programming languages such as Python to create data integrations with API endpoints.

  • You understand the needs of product teams and are comfortable translating their requirements into data solutions.

  • You thrive on collaboration and can communicate effectively with both technical and non-technical stakeholders.

  • You are comfortable owning, tracking, and delivering goals, working both independently and in teams

About the team

The SEO & Page Experience group’s mission is to empower every user in the world to discover Canva and inspire them to create their next design (whether it is a social media post, a presentation, a video or hundreds of other options). Spreading our efforts globally (we have people on the ground in 20+ countries), SEO drives an average of 40 million new logged out sessions and 7 million new MAUs every quarter.

The SEO & PE Data team works closely with product teams to unlock the power of data, supporting page launches, measuring impact, and driving actionable insights. Working with our world-class SEO team is a unique opportunity – you'll be exposed to the newest Canva products, the most innovative SEO systems and exciting creative challenges!

What's in it for you?

Achieving our crazy big goals motivates us to work hard—and we do—but you’ll experience lots of moments of magic, connectivity, and fun woven throughout life at Canva. Here’s a taste of what’s on offer:

  • Equity packages: We want our success to be yours too.

  • Inclusive parental leave policy: Supporting all parents and carers.

  • Annual Vibe & Thrive allowance: Supporting your wellbeing, social connection, office setup, and more.

  • Flexible leave options: Empowering you to recharge and take time for what matters most.

Other stuff to know

We value unique experiences and skills. If you don’t meet every requirement but feel passionate about this role, we’d still love to hear from you.

We make hiring decisions based on your experience, skills, and passion, as well as how you can enhance Canva and its culture. Let us know your pronouns and any reasonable adjustments you may need during the interview process.

Let’s make an impact together!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow APIs BigQuery Data pipelines Data warehouse dbt ELT ETL Pipelines Python Redshift Snowflake SQL

Perks/benefits: Flex hours Home office stipend Parental leave

Region: Asia/Pacific
Country: Australia

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