Data Analytics Engineer

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, Australia, but with many of our Canvanauts calling the Philippines home, our office in Manila is a buzzing place. This role is encouraged to be on a hybrid setup so we've created an environment that truly empowers you to thrive.

What you’d be doing in this role

You will be supporting data-driven decisions to improve IT operations and beyond. This role requires a strong foundation in data analytics, data engineering, and business expertise to effectively analyse IT data, develop actionable insights, and drive strategic initiatives. You will work closely with IT teams, business stakeholders, and data professionals to uncover insights, optimise processes, and improve operational efficiency at scale. You will also play a key role in data governance, infrastructure optimisation, and workflow automation, ensuring that IT teams can leverage high-quality data to make informed decisions.

While the core focus will be on analytics engineering principles—designing scalable data models, optimising pipelines, and enabling self-serve analytics—this role will also involve driving process improvements, developing key IT metrics, and enhancing IT performance tracking. Additionally, there is an opportunity for this role to evolve into advanced analytics, experimentation, and machine learning, particularly in areas like predictive IT infrastructure management and workflow efficiency modeling.

At the moment, this role is focused on:

• Data Exploration & Insights: Analyse IT-related data, such as Jira workflows, service desk requests, software utilisation, and system performance, to identify opportunities for improvement.
• Data Modelling & Engineering: Build clean, scalable, and well-structured data models that support reporting and analytics use cases, ensuring high-quality, reliable data for decision-making.
• Data Visualization & Reporting: Develop engaging dashboards and reports that provide actionable insights to IT leaders and other business teams.
• Automation & Optimisation: Automate data workflows and pipeline processes to improve efficiency, reduce manual work, and ensure data consistency.
• Collaboration & Business Impact: Work closely with IT teams, Data Engineers, and business leaders to translate raw data into strategic insights, driving measurable improvements.
• GenAI Enablement: Prepare high-quality datasets and semantic layers optimised for integration with GenAI tools to support IT and cross-functional use cases across Canva.

You’re probably a match if:

• You have a rich and relevant experience in data analytics, analytics engineering, or data science, ideally with exposure to IT data or operational analytics.
• Strong proficiency in SQL for data extraction, transformation, and modelling.
• Experience with data warehousing tools such as Snowflake, BigQuery, or Redshift.
• Familiarity with data modelling best practices (dbt, Kimball methodology, or similar).
• Hands-on experience with BI and visualisation tools like Looker, Tableau, or Power BI.
• Experience developing dashboards and reporting solutions using BI solutions.
• Familiarity with data governance and data management principles, with a track record in applying standardisation across disparate datasets and implementing technical controls on data pipelines.
• Familiarity with API tools and Automation platforms
• Hands-on experience using CICD tools and PR processes (Github, Jira, Juniper, etc.)
• Curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
• Good written, verbal communication, and collaborative skills, with the ability to design and build using high-level requirements.
• Experience owning, tracking, and delivering goals, working in teams
• Would be even more awesome if you have:
  • Experience with Python for data analysis and automation
  • Exposure to A/B testing, experimentation, or predictive modelling
  • Exposure to integrations with GenAI tools

About the team

This role sits in the Business Data Platform under the Business Platform Group within the IT Supergroup at Canva. The IT Supergroup’s vision is to maximise the potential of every Canvanaut through world-class technology and service. Within this, the Business Data Platform team focuses on enabling significant, scalable, and sustainable value via data and insights.

The Business Data Platform team provides Analytics Engineer support to the Finance, IT, and People Supergroups. This team is also responsible for IT analytics, ensuring that Canvanauts can work efficiently, productively, and securely. Through data, we support key internal IT functions, providing insights into service management, software and hardware utilisation, operational performance, and workflow optimisation. The impact of this work extends beyond IT, with opportunities to influence company-wide efficiency through insights into tooling adoption, Jira performance, and software development workflows.

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, too. We also offer a range of benefits to set you up for every success in and outside of work.

Here’s a taste of what’s 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 support you personally

Check out lifeatcanva.com 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 don’t feel like your skills quite match what’s listed above – we still want to hear from you!

Please note that interviews are conducted virtually.