Rewards Senior Advisor

Catalyst Partners

Kansas City (MO)

Sur place

USD 100 000 - 140 000

Plein temps

Il y a 16 heures
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Résumé du poste

Catalyst Partners is seeking a Rewards Senior Advisor to own compensation analytics and support a broad range of reward initiatives. You will analyze data, benchmark markets, and help shape salary structures.

Ideal candidates bring 5+ years in compensation or rewards, advanced Excel skills, and the ability to work with large, imperfect data sets. HR tech familiarity, including Workday, is a plus.

Qualifications

  • 5+ years in compensation or rewards
  • Experience with analytics, benchmarking, or job architecture
  • Advanced Excel with data tooling
  • Ability to work with large, imperfect data
  • Strong stakeholder management and communication
  • Familiarity with HR tech/workday a plus

Responsabilités

  • Analyze compensation data and provide actionable insights for Reward initiatives
  • Conduct compensation benchmarking and market analysis using established methodologies
  • Support job architecture, salary structures and pay range development
  • Work across data sets, identify inconsistencies and data gaps
  • Develop tools and reporting to improve accuracy and efficiency of compensation activities
  • Support the annual compensation cycle and ongoing Reward processes
  • Partner with HR and stakeholders to translate data into practical solutions
  • Assist evolution of compensation processes and infrastructure
  • Apply quality control and attention to detail across compensation data
  • Tackle complex, ambiguous scenarios with sound judgment

Connaissances

Compensation analytics
Benchmarking
Job architecture
Advanced Excel
Data analysis
Stakeholder management
Workday experience

Outils

Workday

Description du poste

We are partnering with a global organization on a search for a Rewards Senior Advisor to join its broader Reward function. This is an opportunity for a strong compensation professional to take ownership of compensation analytics and support a broad range of reward initiatives across the organization.

The ideal candidate will have strong experience across compensation analysis, benchmarking, job architecture and salary structures, combined with excellent analytical and Excel capabilities. We are looking for someone who is comfortable working with complex and imperfect data, can connect information across multiple sources, identify inconsistencies and build practical, repeatable processes and tools.

Key Responsibilities

  • Analyze compensation data and provide insights to support broader Reward initiatives
  • Conduct compensation benchmarking and market analysis using established methodologies
  • Support job architecture, salary structures and pay range development
  • Work across multiple data sets, identifying inconsistencies, gaps and opportunities for improvement
  • Develop tools, processes and reporting that improve the accuracy and efficiency of compensation activities
  • Support the annual compensation cycle and other ongoing Reward processes
  • Partner with HR and business stakeholders to understand compensation needs and translate data into practical solutions
  • Support the ongoing evolution and improvement of compensation processes and infrastructure
  • Apply a high level of quality control and attention to detail across compensation data and outputs
  • Work through complex and ambiguous scenarios, using sound judgment and a forensic approach to problem solving

What We’re Looking For

  • 5+ years of experience in compensation, Reward or a closely related field
  • Strong experience with compensation analytics, benchmarking and/or job architecture
  • Advanced Excel skills, including complex formulas, data analysis and building tools
  • Strong analytical mindset with the ability to work across large, complex and sometimes imperfect data sets
  • Highly detail-oriented, with the ability to identify errors, inconsistencies and areas requiring further investigation
  • Curious and resourceful, with a genuine interest in understanding the “why” behind the data
  • Comfortable challenging existing processes and developing more efficient, repeatable approaches
  • Strong stakeholder management and communication skills
  • Comfortable operating in grey areas and working through complex problems without a prescribed answer
  • Experience with HR technology, compensation systems or Workday is a plus

The Opportunity

This role offers the opportunity to become a trusted advisor within a broad Reward function, with meaningful ownership across compensation analytics and broader reward initiatives. The successful candidate will have the opportunity to grow into the role, expand their exposure across Reward and develop a long-term career within the function.

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