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The Finance Manager, Incentives & Data Analytics position at Autodesk TLV focuses on financial analysis and data analytics to enhance understanding of revenue movements and churn drivers. The role requires strong analytical skills, collaboration across teams, and effective communication of insights to leadership.
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Job Summary
The Finance Manager, Incentives & Data Analytics role combines core financial analysis with deeper analytical work to identify, quantify, and explain revenue movements.
This role aims to improve the accuracy of churn-related metrics, support effective sales and partner incentive compensation design, and provide leadership with clearer insight into revenue change drivers.
The position is highly cross-functional, requiring strong analytical rigor, business judgment, and the ability to translate findings into practical recommendations for executive and senior leadership.
Matching Summary
Match Score: 75
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The Finance Manager, Incentives & Data Analytics position at Autodesk TLV focuses on financial analysis and data analytics to enhance understanding of revenue movements and churn drivers. The role requires strong analytical skills, collaboration across teams, and effective communication of insights to leadership.
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Skills & Requirements
Must-have
Financial analysis for sales performance
Subscription revenue trends analysis
Incentive compensation programs analysis
ARR, churn, net retention analysis
Financial modeling and dashboard development
Data integrity across CRM and finance systems
Identify and quantify false churn
Analyze downgrade patterns
Partner with engineering for data anomalies
Evaluate incentive plan design impact
Provide data-driven insights for leadership
Nice-to-have
Strong business judgment
Translate findings into recommendations
Navigate ambiguity
Develop structured approaches
Data-driven storytelling
Key Requirements
8 to 12 years of experience in finance analytics
Advanced proficiency in Excel and Power BI
Working knowledge of SQL, Snowflake preferred
Solid understanding of SaaS economics
Ability to work with large, complex datasets
Experience analyzing churn or customer lifecycle metrics
Understanding of sales incentive compensation mechanics