Senior Compensation Analyst

Johnson & Johnson Innovative MedicineNew Brunswick, NJ
$94,000 - $151,800Onsite

About The Position

The Senior Compensation Analyst serves as a strategic partner and internal consultant, supporting the design, analysis, and delivery of global Compensation programs aligned to business objectives. This role combines strong analytical capability with practical execution to develop data-driven compensation solutions that enhance the organization’s ability to attract, retain, and motivate talent. Operating in a complex, matrixed environment, the Senior Compensation Analyst partners closely with HR Business Partners and Talent Acquisition, taking a consultative and relationship-driven approach to connect market insights with business needs. The role translates data into clear, actionable recommendations that support hiring, retention, and workforce decisions, while contributing to program governance, process improvement, and compensation projects. This position is ideal for a high-performing analyst who brings deep quantitative expertise, builds credibility through evidence-based recommendations, and influences through insights and strong partnerships across both the strategic and operational aspects of Compensation.

Requirements

  • Bachelor's degree required; advanced degree (Master’s in HR, MBA in HR or related) preferred.
  • Minimum 6 years of relevant experience in Compensation with strong working knowledge of HR programs in a complex, matrixed environment.
  • Solid understanding of compensation practices, market benchmarking, and applicable laws/regulations, with the ability to translate market data into actionable compensation solutions.
  • Advanced quantitative and analytical skills, including experience with data analysis, modeling, and visualization.
  • Strong proficiency in Microsoft Office suite of software products and familiarity with HR systems, (e.g., Workday, ServiceNow, Copilot, HRIS/reporting tools).
  • Demonstrated ability to leverage AI-enabled productivity and analytical tools to enhance data analysis, research, reporting, and decision-making processes.
  • Ability to evaluate AI-generated outputs, validate data accuracy, identify potential risks or bias, and apply business judgment when developing compensation recommendations.
  • Curiosity and adaptability in adopting emerging technologies, with the ability to integrate AI capabilities into Compensation processes while maintaining a strong focus on data governance and compliance.
  • Demonstrated ability to manage multiple priorities and drive work forward with rigor and accuracy; applies structured problem-solving to support data-driven decision making.
  • Strong written and verbal communication skills with the ability to synthesize insights, develop and present clear recommendations to a range of audiences, and effectively collaborate and influence across HR partners and senior stakeholders.
  • Proven ability to work in a fast-paced, global, and matrixed environment with strong attention to detail, adaptability, and cultural awareness.

Nice To Haves

  • Change Management
  • Coaching
  • Communication
  • Compensation and Benefits Policies and Procedures
  • Compensation and Benefits Trends
  • Compensation Management
  • Data Savvy
  • Employee Compensation and Benefits
  • Employee Rewards Programs
  • HR Strategic Management
  • Issue Escalation
  • Job Evaluations
  • Problem Solving
  • Process Improvements
  • Salary Benchmarking
  • Talent Management

Responsibilities

  • Support the design, strategy, communication, and implementation of global Compensation programs aligned to business objectives.
  • Conduct market research, benchmarking, and data analysis to develop competitive, equitable compensation solutions.
  • Contribute to Compensation governance and projects, identifying and implementing continuous process and policy enhancements.
  • Provide guidance and interpretation on global Compensation policies, procedures, and processes (including year-round and year-end compensation administration).
  • Perform job evaluations and prepare salary recommendations for senior leadership roles; serve as Subject Matter Expert, ensuring compliance, reporting, and data integrity.
  • Partner with HR, Talent Acquisition, and HR Business Partners, leveraging analytics (Workday, WorkforceDNA, Excel) to inform hiring, retention, and talent decisions (e.g., compensation reviews, retention solutions, cost modeling, net-to-net analyses).
  • Leverage approved AI-enabled tools (e.g., Microsoft Copilot and enterprise analytics platforms) to improve the efficiency, quality, and scalability of compensation research, market analysis, reporting, and presentation development while maintaining appropriate human review and judgment.
  • Apply AI-assisted insights to support compensation modeling, benchmarking, job evaluation, workforce analytics, and business case development, translating complex data into actionable recommendations for HR and business leaders.
  • Ensure responsible use of AI by adhering to company policies, data privacy requirements, and ethical standards when analyzing employee, compensation, and organizational data.
  • Participate in external meetings or consortiums as appropriate to gather best practices and benchmark data.
  • Perform other duties as assigned.

Benefits

  • Consolidated retirement plan (pension)
  • Savings plan (401(k))
  • Vacation –120 hours per calendar year
  • Sick time - 40 hours per calendar year
  • Holiday pay, including Floating Holidays –13 days per calendar year
  • Work, Personal and Family Time - up to 40 hours per calendar year
  • Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
  • Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
  • Caregiver Leave – 80 hours in a 52-week rolling period
  • Volunteer Leave – 32 hours per calendar year
  • Military Spouse Time-Off – 80 hours per calendar year
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service