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Nebius

Senior Compensation Analyst

Reposted 3 Days Ago
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In-Office or Remote
Hiring Remotely in Ireland, IRL
Senior level
In-Office or Remote
Hiring Remotely in Ireland, IRL
Senior level
Analyze and administer compensation programs including market pricing, salary structure maintenance, job classification, pay equity analysis, budgeting for merit/bonus cycles, HRIS data audits, reporting, policy documentation, and training HR and managers.
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About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The Role

Analyzes and administers employee compensation programs to ensure pay practices are competitive, equitable, and aligned with organizational objectives Conducts market pricing, builds and maintains salary structures, and classifies jobs into appropriate grades and levels Develops pay recommendations, models financial impact of compensation programs, and administers merit and bonus planning cycles.  Prepares reports and analyses for stakeholders, documents policies, monitors regulatory requirements, and drives continuous improvement in compensation workflows and data quality. 

Key Responsibilities 

  • Conducts market pricing by participating in external compensation surveys, performing job matching, and evaluating competitive pay levels in base salary, bonus targets, and salary ranges.
  • Reviews and updates the company's salary structure, including pay grades and salary range spread/midpoints, to reflect market movement and internal equity.
  • Drafts, reviews, and/or edits job descriptions for consistency and completeness, evaluating and classifying new and existing job descriptions to recommend appropriate job levels, salary grades, and hourly vs. salaried statuses. 
  • Maintains job and pay records within the HRIS, auditing employee job and compensation data periodically to identify and correct errors, duplicates, and classification inconsistencies.
  • Analyzes internal compensation data against internal salary structures and recruitment data to identify pay trends and resolve pay compression or equity issues.
  • Reviews compensation requests for new hires, promotions, transfers, and internal equity adjustments, developing recommendations to support compensation-related decisions.
  • Models the financial cost of proposed merit increases, market adjustments, and promotional guidelines using budget scenarios, and presents findings to HR leadership to support the compensation programs.
  • Administers the merit and bonus planning cycle by configuring planning tools, preparing analyses and manager guidelines, auditing submitted recommendations prior to payroll processing, and reconciling planned vs. actual compensation expenditure with Finance.
  • Prepares recurring and ad hoc compensation reports, dashboards, and presentations (e.g., pay equity analyses, headcount summaries, and range penetrationfor HR leadership and business stakeholders.
  • Documents and updates compensation policies, procedures, and program guidelines, monitoring federal and state compensation regulations and flags necessary policy or pay adjustments
  • Delivers training materials and educational sessions to HR representatives and managers to explain annual compensation cycles and pay administration guidelines.
  • Identifies opportunities to improve compensation processes, reporting, and data quality through standardizationautomationand improvements to workflows such as job pricing or merit cycle

Job Requirements: 

  • Bachelor's degree in Human Resources, Business Administration, Finance, Economics or a related field; or an equivalent combination of education and experience.
  • Progressive experience in compensation analysis, salary administration, job analysis/evaluation, and market pricing.
  • Experience in compensation modules, spreadsheet tools using formulas (e.g., nested lookup functions and pivot tables), and market pricing data aggregation software.
  • Experience with human capital management system, compensation management system, spreadsheet software with advanced functions, and business intelligence or reporting tools.
  • Experience conducting pay equity analyses using regression-based statistical methods preferred
  • Certified Compensation Professional (CCP) designation preferred

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI 

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. 

If you need accommodations during the application process, please let us know.

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