Senior Financial Data Scientist - Revenue Accounting
About The Position
Join the team redefining how the world experiences design. 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. 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. 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. 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! 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 build reusable data assets and dashboards to support month/quarter end close activities.
Requirements
- Knowledge and experience with Python (or R) and SQL.
- Strong knowledge and experience on data analysis (e.g. intermediate-advanced level of Excel, Alteryx Certified, Tableau Prep, Knime, etc).
- Knowledge and experience using visualisation and BI tools (e.g. Mode, Tableau, Looker, MicroStrategy, PowerBI, etc).
- 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.
- Worked with financial data and finance teams, ideally at a company that has gone through an IPO.
Nice To Haves
- A grounding in mathematics/statistics or finance and a degree in a STEM area.
Responsibilities
- Establish automated, traceable, and immutable revenue data pipelines that meet external audit standards.
- Reduce manual reconciliation effort through automation and anomaly detection.
- Improve accuracy and completeness of revenue data within Finance data warehouse across payment gateways and billing service data domains.
- Develop compelling reports, dashboards, and presentations that effectively communicate insights to both technical and non-technical audiences.
- Works with various stakeholders to continuously improve the efficiency and accuracy of data collection and preparation.
Benefits
- Equity packages
- Health benefits plans
- 401(k) retirement plan with company contribution
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
