Senior Compensation Analyst - Data-Driven Pay (Hybrid)

Prudential Ins Co of America

Newark (NJ)

Hybrid

USD 89,000 - 147,000

Full time

9 days ago

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Benefits offered by this job

Annual bonus
Health benefits
401(k) match
Pension plan
Wellness program
Education benefits
Employee stock plan

Job summary

Prudential is seeking a Senior Compensation Analyst in Newark, NJ with a hybrid work arrangement (3 days in office). You will partner with People Team and business leaders to deliver compensation insights, recommendations, and solutions that support talent and business strategies across a diverse organization.

You will conduct market pricing, job evaluations, and benchmarking using survey data and external intelligence, while shaping unemployment and equity strategies within Total Rewards.

Qualifications

  • Bachelor's degree in HR, Business, Finance, Data Science, Analytics, or related field; advanced degree preferred.
  • Proven experience supporting compensation programs, market analysis, benchmarking, and survey participation highly desired.
  • Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable recommendations.
  • Advanced Excel and data management capabilities; experience with automation, AI-enabled tools, predictive analytics, or modeling is a plus.
  • Ability to synthesize large volumes of data and communicate meaningful insights to a variety of stakeholders.
  • Strong verbal, written, and presentation skills; ability to explain technical concepts to non-technical audiences.
  • Proven ability to build relationships, collaborate across teams, and influence stakeholders at multiple levels.
  • Strong project management and organizational skills, with the ability to manage competing priorities and deadlines.
  • Detail-oriented and intellectually curious with a continuous improvement mindset.
  • Experience with Workday, CompAnalyst, or other compensation technology platforms is a plus.
  • Experience supporting global or international compensation programs is a plus.

Responsibilities

  • Partner with People Business Leaders and business leaders to support data-driven compensation decisions related to hiring, promotions, internal mobility, and talent management.
  • Develop thoughtful compensation recommendations and analyses that balance internal equity, market competitiveness, and business needs.
  • Conduct market pricing, job evaluations, and benchmarking activities using survey data and external market intelligence.
  • Evaluate the quality, relevance, and applicability of compensation survey data and market sources to support compensation decisions.
  • Support the evolution and communication of Prudential's Compensation and Total Rewards philosophy, guiding principles, and programs.
  • Contribute to the ongoing enhancement of job architecture and the job catalog to support career pathing, talent planning, and market alignment.
  • Provide compensation support and guidance for emerging, high-demand, and strategically critical roles.
  • Deliver compensation analyses and insights that help address workforce, staffing, and talent-related challenges.
  • Partner on compensation projects and annual processes, ensuring effective execution and continuous improvement.
  • Translate complex compensation data into clear, actionable insights for leaders and non-technical audiences.

Skills

Analytical skills
Problem solving
Communication
Stakeholder influence
Project management
Data visualization
Cross-functional collaboration

Education

Bachelor's degree in HR, Business, Finance, Data Science, Analytics, or related field

Tools

Workday
CompAnalyst

Job description

Prudential is seeking a Senior Compensation Analyst in Newark, NJ with a hybrid work arrangement (3 days in office). You will partner with People Team and business leaders to deliver compensation insights, recommendations, and solutions that support talent and business strategies across a diverse organization.

You will conduct market pricing, job evaluations, and benchmarking using survey data and external intelligence, while shaping unemployment and equity strategies within Total Rewards.

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