Hiring.Camp

Lead Specialist - Total Rewards (Europe)

Gevernova

·

6 days ago

Location
Remote, Spain · Remote
Workplace
Remote
Type
Full-time
Seniority
Lead
Source
Workday

Description

Job Description Summary

GE Vernova is seeking an analytical and detail-oriented Total Rewards Specialist to support our regional compensation practices and drive our global data analytics capabilities. This role sits at the intersection of operational support and technical insight, ensuring our compensation programs are executed accurately while providing the data-driven foundations required for informed decision-making. The successful candidate will manage the day-to-day compensation support for a sub-set of European countries while serving as a primary analytics and reporting resource for the Wind Segment Total Rewards teams through global compensation projects, process or actions. This is an ideal role for a professional looking to leverage their analytical mindset to solve compensation challenges within a global and regional capacity.

Job Description

Roles and Responsibilities


  • Support the end-to-end execution of regional compensation programs, including annual salary and bonus planning cycles for a defined sub-set of European countries.
  • Serve as a key point of contact for HR teams in the region, providing expert guidance on compensation queries and assisting HR partners in interpreting data to support pay-related decisions.
  • Assist in maintaining regional salary structures, supporting job evaluation/leveling frameworks, and ensuring that all practices remain compliant with local legal and regulatory requirements.
  • Perform recurring and ad-hoc compensation analyses, such as pay equity audits and market competitiveness studies, to identify trends and provide actionable, data-driven recommendations.
  • Participate in external salary survey submissions and support market pricing analysis to ensure our compensation packages remain competitive and aligned with industry standards within the region.
  • Develop and maintain visually engaging reports and dashboards that translate complex compensation data into clear, user-friendly formats for HR and business leadership.
  • Identify and implement opportunities to automate manual data processes, streamline reporting workflows, and enhance the overall efficiency of the compensation function.
  • Collaborate with the broader Total Rewards team to contribute to global initiatives, providing the technical analysis and regional perspective needed for successful program implementation.

Required Qualifications


  • Bachelor’s degree in a relevant field such as Business, Finance, HR, or Data Analytics.
  • Relevant experience in Total Rewards, Compensation, or HR Analytics.
  • Proven ability to manage multiple priorities in a fast-paced environment.

Desired Characteristics


  • Technical Proficiency: Advanced Excel skills (modeling, complex formulas) are essential. Experience with visualization tools (e.g., Tableau, Power BI) and HRIS platforms is highly preferred.  Familiarity with SQL, R, Python preferred. 
  • Analytical Mindset: Strong passion for data extraction, transformation, and interpretation, with the ability to spot inconsistencies and tell a story through data.
  • Consultative Approach: Ability to explain complex technical concepts in an understandable way to non-technical HR partners and business stakeholders.
  • Operational Excellence: High attention to detail with a focus on accuracy, process documentation, and a drive for continuous improvement.
  • Collaborative Spirit: Experience working effectively within a global, matrixed team; ability to build strong working relationships with remote stakeholders.
  • Discretion: Sound judgment and the ability to maintain the highest level of confidentiality regarding sensitive pay data and personal information.

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Skills

PythonRSQLExcelTableauPower BI

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Remote Lead Specialist - Total Rewards (Europe) at Gevernova | Hiring.Camp