Senior Data Scientist - Finance Data & Analytics
CanvaSan Francisco,Posted 6 March 2026
Tech Stack
Job Description
<p><strong>Join the team redefining how the world experiences design.</strong></p><p>Hello, g'day, mabuhay, kia ora, 你好, hallo, vítejte!</p><p>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.</p><p><strong>Where and how you can work</strong></p><p>Our flagship office is in Sydney, Australia, but we've made our way from down under, to a hub in San Francisco, which is now home to our US operations. We offer flexibility in how and where you work. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.</p><p><strong>What you’d be doing in this role</strong></p><p>As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve.</p><p>At the moment, this role is focused on:</p><ul><li><p>Audit Readiness: Establish automated, traceable, and immutable revenue data pipelines that meet external audit standards.</p></li><li><p>Operational Efficiency: Reduce manual reconciliation effort through automation and anomaly detection.</p></li><li><p>Data Integrity: Improve accuracy and completeness of revenue data within Finance data warehouse across payment gateways and billing service data domains.</p></li></ul><ul><li><p>Reporting and Communication: Develop compelling reports, dashboards, and presentations that effectively communicate insights to both technical and non-technical audiences.</p></li></ul><ul><li><p>Cross-Team Collaboration: Works with various stakeholders to continuously improve the efficiency and accuracy of data collection and preparation.</p></li></ul><p><strong>You're probably a match if</strong></p><ul><li><p>You have knowledge and experience with at least one data analysis language (e.g: SQL, Python, R, etc)</p></li></ul><ul><li><p>You have strong knowledge and experience on data analysis (e.g. intermediate-advanced level of Excel, Alteryx Certified, Tableau Prep, Knime, etc)</p></li></ul><ul><li><p>You bring lnowledge and experience using visualisation and BI tools (e.g. Mode, Tableau, Looker, MicroStrategy, PowerBI, etc)</p></li></ul><ul><li><p>You have the soft skills & personal qualities that tend to make data analysts successful – attention to accuracy, interpreting data faithfully, speaking persuasively in public, and writing concisely and clearly.</p></li></ul><ul><li><p>You have a grounding in mathematics/statistics and a bachelor's degree in a STEM area.</p></li></ul><ul><li><p>You have worked in a tech company before and are familiar with the way a tech company operates and some of the concepts particular to our industry (e.g. growth accounting, product funnels, designing analytic events, etc.)</p></li></ul><p><br>
<strong>About the team</strong></p><p>At Canva, our mission is to empower the world to design, and we’re looking for insightful data scientists who can help us make that happen.</p><p>Our product has grown enormously in the last few years. We now have 100s of millions of users generating enormous quantities of data every single day. To help us fuel our future growth, we need to better understand our data - this is where we need your help.</p><p>We're looking for self-motivated individuals who are curious about our product and our users, and who are excited to seek out valuable insights. We don’t want you to just be a resource that answers questions - we want you to act as a genuine data partner with your team and the broader business. We have a LOT of data and need people who can use their skills to help us make the most of it!</p><p>You will become the Senior Data Scientist on the Finance Data & Analytics team who not only understands the financial data at Canva but also knows how to use it to make that data actionable. You will be supporting the Revenue accounting team to ... (truncated, view full listing at source)
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