Sales Incentive Compensation Data Analyst
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Job Description Summary
As a SIC (Sales Incentive Compensation) Data Analyst at GE Vernova, you will be responsible for the data governance, system programming, controllership and reporting of sales incentive programs. This role ensures that sales performance data is accurately captured and translated into meaningful incentive payouts, driving sales behavior through precise financial modeling, reporting and auditing.
Job Description
Roles and Responsibilities
Own Workday Data Quality (Report creation, Workday maintenance, Bonus auditing)
Weekly Data cleaning of Workday files and auditing for gaps in data quality
Maintenance of SIC eligibility Database
Work with People Ops to eliminate errors
Quarterly preparation of SIC HR file creation
Manage Fusion (SIC Tool)
Work closely with outside Vendor to manage SIC Programs in Fusion
P.O. Approvals for Fusion and Oracle Licenses
Support auditing and testing of new plan document & configuration implementations
Target Programming
Plan Publishing in Fusion and follow-up with 1500+ participants to accept plan docs
Quarterly financial load to Fusion to generate SIC Calcs
Auditing for reporting capability in Fusion
Present System Training to all participants quarterly
Maintenance of Workday inputs into Fusion (quarterly loads for MOR rates, target leverage and salary inputs)
Managing employee movements in Fusion (transfers, new hires, leavers)
Ad-hoc reporting as needed
Lead the Pole Sales team KPI Rating process:
Work with Global Services Leadership team to set KPIs each year
Manage inputs for quarterly KPI template with Finance
Publish and track KPI templates
Ensure all required feedback is completed prior to closing claims or final payout amounts
Reporting & Modeling:
Run simulation and help build scenarios in design change discussions
Support SIC accrual reporting
Manage all data forms to ensure alignment with current org structure
Coordinate validation of Financial and Target data in quarterly SIC reporting
Payroll:
Preparation of SIC payment upload templates
Process all internal and external to WD global Incentive payments working closely with People Ops and local HR teams to ensure Payment accuracy
Triage any gaps in payments
Manage SIC payroll calendar files
Required Qualifications
Bachelor's Degree in a relevant field such as Business, Finance, HR, or Data Analytics.
Minimum of 3 years of experience in data analytics area, preferably in Human Resources / Total Rewards (incl. creating agents in AI programs)
Desired Characteristics
Excel Proficiency: Advanced skills in Excel are essential for this role. Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Communication: Strong oral and written communication skills. Ability to document, plan, market, and execute programs.
Data Enthusiast: A passion for working with data, including data extraction, transformation, and interpretation. Ability to manipulate complex data & files.
Analytical Mindset: Strong analytical and problem-solving skills with an attention to detail.
Communication: Effective communication skills to present complex data in a clear and understandable manner.
Team Player: Ability to collaborate effectively with global SIC and Total Rewards teams.
Additional Information
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided:
No
Application Deadline: November 27, 2026
For candidates applying to a U.S. based position, the pay range for this position is between $73,000.00 and $109,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific p