About the role
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the team redefining how the world experiences design. Hello, 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 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. What you’d be doing in this role 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. At the moment, this role is focused on: Audit Readiness: Establish automated, traceable, and immutable revenue data pipelines that meet external audit standards. Operational Efficiency: Reduce manual reconciliation effort through automation and anomaly detection. Data Integrity: Improve accuracy and completeness of revenue data within Finance data warehouse across payment gateways and billing service data domains. Reporting and Communication: Develop compelling reports, dashboards, and presentations that effectively communicate insights to both technical and non-technical audiences. Cross-Team Collaboration: Works with various stakeholders to continuously improve the efficiency and accuracy of data collection and preparation. You're probably a match if You have knowledge and experience with Python (or R) and SQL. You have strong knowledge and experience on data analysis (e.g. intermediate-advanced level of Excel, Alteryx Certified, Tableau Prep, Knime, etc). You bring knowledge and experience using visualisation and BI tools (e.g. Mode, Tableau, Looker, MicroStrategy, PowerBI, etc). 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. You ideally have a grounding in mathematics/statistics or finance and a degree in a STEM area. You've worked with financial data and finance teams, ideally at a company that has gone through an IPO.
