Senior Revenue Data Analyst

📋 Description

• Support revenue subledger implementation to scale revenue accounting.
• Collaborate with Product, Analytics, Engineering and Finance to gather requirements.
• Tackle ambiguous problems with iterative, practical solutions.
• Leverage AI tools to accelerate analysis and automate tasks.
• Detect data issues and reconcile to the source of truth.
• Improve revenue data processes to scale subledger for new products/markets.

🎯 Requirements

• Degree in Accounting, Business, Data Science, or related field.
• 5-7 years in revenue accounting/finance or data analytics.
• Collaborate across Engineering, Product and Finance; translate requirements.
• IFRS 15 knowledge; US GAAP and SOX a plus.
• Intermediate/advanced SQL skills and large data volumes.
• Experience with AI tools in day-to-day work; provide examples.