Workday Data Conversion Consultant (Finance)
Posted 2 days ago by 1761112199
Negotiable
Outside
Remote
USA
Summary: The Workday Data Conversion Consultant (Finance) is responsible for supporting the migration of legacy finance data into Workday. This role focuses on extracting, transforming, validating, and loading finance data during both implementation and optimization phases. The consultant must possess expertise in data mapping and reconciliation, along with strong SQL and Excel skills. Coordination with functional and technical teams for data validation is also a key aspect of the position.
Key Responsibilities:
- Support migration of legacy finance data into Workday.
- Extract, transform, validate, and load finance data during implementation and optimization phases.
- Perform data mapping, cleansing, and reconciliation.
- Utilize strong SQL and Excel skills to manage data.
- Coordinate with functional and technical teams for data validation.
Key Skills:
- Experience in Workday Financials Data Conversion (GL balances, Suppliers, Customers, Expenses, Projects, Assets).
- Expertise in data mapping, cleansing, and reconciliation.
- Strong SQL and Excel skills.
- Understanding of finance processes.
- Experience coordinating with functional and technical teams.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Workday Data Conversion Consultant (Finance)
Location: Remote
Job Description:
Looking for a Workday Finance Data Conversion Consultant to support migration of legacy finance data into Workday. Role involves extracting, transforming, validating, and loading finance data during implementation and optimization phases.
Must Have:
Experience in Workday Financials Data Conversion (GL balances, Suppliers, Customers, Expenses, Projects, Assets).
Expertise in data mapping, cleansing, and reconciliation.
Strong SQL/Excel skills and understanding of finance processes.
Experience coordinating with functional and technical teams for data validation.