Senior Financial Data Scientist - Revenue Accounting

About the role

Join the team redefining how the world experiences design. We are a dynamic and innovative company that values creativity and technology. Our flagship office is in Sydney, Australia, with a hub in San Francisco. We offer flexible working arrangements to empower our Canvanauts to achieve their goals.

Responsibilities

• 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.

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).
• 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.
• A grounding in mathematics/statistics or finance and a degree in a STEM area.
• Worked with financial data and finance teams, ideally at a company that has gone through an IPO.

Qualifications

• 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).
• 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.
• A grounding in mathematics/statistics or finance and a degree in a STEM area.
• Worked with financial data and finance teams, ideally at a company that has gone through an IPO.

Skills

• Python (or R)
• SQL
• Data analysis (Excel, Alteryx Certified, Tableau Prep, Knime, etc.)
• Visualisation and BI tools (Mode, Tableau, Looker, MicroStrategy, PowerBI, etc.)
• Attention to accuracy, interpreting data faithfully, speaking persuasively in public, and writing concisely and clearly
• Mathematics/statistics or finance

Benefits

• Equity packages
• Health benefits plans
• 401(k) retirement plan with company contribution
• Inclusive parental leave policy
• An annual Vibe & Thrive allowance
• Flexible leave options

Pay

The target salary range for this position is 173,000 USD to 268,000 USD.

Schedule

We conduct interviews virtually.