Role : Workday Financial Analyst Location: Cary, NC / Tampa, FL, Jersey City, NJ - Onsite Contract
Must Have Technical/Functional Skills:
Deep knowledge of Workday Financial Management modules: General Ledger (GL) Financial Reporting & Analytics Hands-on configuration experience with Business Processes, Security, and Workday Setup. Strong understanding of Workday Reporting (Advanced Reports, Composite, Matrix, Workday Prism). Strong Financials data reconciliation experience Solid grounding in accounting principles (GAAP, STAT) Understanding of multi-entity, multi-currency consolidations. Experience with audit, compliance, and controls (SOX, internal controls, statutory reporting). Managed multiple workday releases and have enabled uptake of new features Strong expertise in Workday Studio, RAAS, WQL, (SOAP/REST API). Prefer candidates with finance data hub / integration exposure (not just pure Workday config)
Roles & Responsibilities: Support Chart of Accounts extraction, accounting rules, allocations, and financial reporting structures. Drive data conversion and validation activities, including open balances etc. Collaborate with integration teams to ensure seamless connectivity between Workday and external systems (Azure Databricks). Develop and test Workday reports, dashboards, and analytics for Finance leadership. Manage business process configuration (approvals, workflows, controls) to align with compliance and audit needs. Perform system testing (unit, end-to-end, UAT support), defect resolution, and cutover planning
Work closely with Workday Solution Architects to ensure design consistency and scalability. Provide knowledge transfer, training, and documentation for finance super-users and business teams. Ensure regulatory and compliance alignment (SOX, GAAP, IFRS) in Workday configurations. Support post go-live stabilization and hyper care, ensuring smooth adoption of Workday Finance Manage Workday periodic releases and providing customers insight into new features and deprecated features and work with teams to solution the same problem
Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required
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