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Sales Incentive Compensation Data Analyst

Gevernova

RemotePosted 16 h agoRemoteDirect from company

  • LocationRemote
  • Work typeRemote
  • EmploymentFull-time
  • Posted30 October 2026
  • SourceGevernova's careers page (Workday)
  • Last checked2 h ago on Gevernova's careers page
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About the role

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)

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- Weekly Data cleaning of Workday files and auditing for gaps in data quality

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- Maintenance of SIC eligibility Database

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- Work with People Ops to eliminate errors

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- Quarterly preparation of SIC HR file creation

- Manage Fusion (SIC Tool)

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- Work closely with outside Vendor to manage SIC Programs in Fusion

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- P.O. Approvals for Fusion and Oracle Licenses

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- Support auditing and testing of new plan document & configuration implementations

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- Target Programming

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- Plan Publishing in Fusion and follow-up with 1500+ participants to accept plan docs

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- Quarterly financial load to Fusion to generate SIC Calcs

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- Auditing for reporting capability in Fusion

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- Present System Training to all participants quarterly

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- Maintenance of Workday inputs into Fusion (quarterly loads for MOR rates, target leverage and salary inputs)

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- Managing employee movements in Fusion (transfers, new hires, leavers)

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- Ad-hoc reporting as needed

- Lead the Pole Sales team KPI Rating process:

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- Work with Global Services Leadership team to set KPIs each year

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- Manage inputs for quarterly KPI template with Finance

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- Publish and track KPI templates

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- Ensure all required feedback is completed prior to closing claims or final payout amounts

- Reporting & Modeling:

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- Run simulation and help build scenarios in design change discussions

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- Support SIC accrual reporting

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- Manage all data forms to ensure alignment with current org structure

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- Coordinate validation of Financial and Target data in quarterly SIC reporting

- Payroll:

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- Preparation of SIC payment upload templates

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- Process all internal and external to WD global Incentive payments working closely with People Ops and local HR teams to ensure Payment accuracy

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- Triage any gaps in payments

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- 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 . 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

#LI-Remote - This is a remote position

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 pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on October 30, 2026.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Candidates should be aware that this role involves a client's critical infrastructure; shortlisted candidates would therefore be subject to heightened security checks as directed by our clients. All personal data will be handled with the utmost confidentiality and in accordance with our data protection policies, solely for recruitment and security purposes.

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