ManagerEXL/M/1470183
FinanceNoida
Posted On
02 Sep 2025
End Date
17 Oct 2025
Required Experience
8 - 12 Years
Basic Section
Number Of Positions
1
Band
C1
Band Name
Manager
Cost Code
D900371
Campus/Non Campus
-
Employment Type
Permanent
Requisition Type
New
Max CTC
2000000.0000 - 2500000.0000
Complexity Level
Back Office (Complexity Level 4)
Work Type
Work From Office - Fully Working From EXL/ Client Offices
Organisational
Group
Enabling
Sub Group
Finance
Organization
Finance
LOB
Finance
SBU
Financial Planning & Analysis
Country
India
City
Noida
Center
Noida - Centre 59
Skills
Skill
Minimum Qualification
B.COM
BACHELOR'S DEGREE
POST GRADUATE
Certification
No data available
Position Overview We are seeking a highly skilled and knowledgeable Workday Adaptive Planning Professional to join our Finance/FP&A team. The ideal candidate will bring expertise in building and optimizing Workday Adaptive Planning models to support forecasting, budgeting, reporting, and scenario analysis. This individual will play a key role in enhancing our financial planning processes, ensuring data accuracy, and providing strategic insights to business leaders.
Key Responsibilities o Design, build, and maintain financial models, dashboards, and reports within Workday Adaptive Planning. o Assist with the budgeting, forecasting, and long-range planning processes using Adaptive. o Partner with Finance, Accounting, and Business Unit leaders to translate business requirements into Adaptive solutions. o Ensure accuracy and integrity of financial data by managing integrations with Workday and other systems. o Develop and maintain dimensions, accounts, versions, and levels in Adaptive to support evolving business needs. o Create and optimize workflows, user access, and system configurations to improve efficiency. o Train and support end-users, driving adoption of Adaptive across the organization. o Troubleshoot system issues, identify process improvements, and recommend enhancements. o Stay current on Workday Adaptive Planning best practices and new features to maximize system value.
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