Senior Revenue Transformation Lead

Autodesk; Washington; On-site; USD 76,000 - 136,000; Full time

Job summary

Autodesk is undergoing a back-office transformation and seeks a Senior Revenue Analyst to partner with Revenue Accounting, Controllership, and IT teams. You will guide the project, assist in UAT, and roll out system and process changes across the organization.

Responsibilities include documenting requirements for U.S. GAAP revenue recognition, supporting SOX controls, and delivering training as the new models and system flows are implemented.

Qualifications

• Bachelor’s degree in Accounting, Finance or Business or equivalent practical experience.
• 3+ years of relevant work experience.
• CPA certification or equivalent preferred.
• Experience with SAP, Business Objects or RAR; proficient in Excel.

Responsibilities

• Attend meetings to discuss and document project requirements as they pertain to U.S. GAAP, focusing on Revenue Recognition.
• Collaborate with manager to understand operational capabilities and feasibility of proposals.
• Perform UAT and track/resolve issues identified during UAT.
• Implement and document processes and controls including SOX compliance.
• Evaluate accounting implications and confirm operational support for ASC 606 changes.
• Provide accounting guidance to project team and developers.
• Support training efforts and transition to new business models and system flows.
• Work hours based on PST time zone.

Skills

GAAP knowledge

Communication

Teamwork

Analytical/data mining

Education

Bachelor's degree in Accounting, Finance or Business

Tools

SAP

Business Objects

RAR

Excel

Job description

Autodesk is undergoing a back-office transformation and seeks a Senior Revenue Analyst to partner with Revenue Accounting, Controllership, and IT teams. You will guide the project, assist in UAT, and roll out system and process changes across the organization.

Responsibilities include documenting requirements for U.S. GAAP revenue recognition, supporting SOX controls, and delivering training as the new models and system flows are implemented.