Global Compensation Analytics Lead

Teradyne; North Reading (MA); On-site; USD 125,000 - 201,000; Full time

Benefits offered by this job

Health benefits

Dental

Vision

FSAs

Retirement plan

Paid vacation

Tuition assistance

Job summary

Teradyne Inc. in North Reading, MA, is seeking a Senior Compensation Analyst to lead the administration, analysis, and continuous improvement of global compensation programs.

The role partners with HR and business leaders to deliver insights, market analyses, and data-driven recommendations aligning with company philosophy and objectives. The ideal candidate will bring advanced Excel skills, data analysis, and experience with compensation design, job architecture, and equity programs.

Qualifications

• Bachelor’s degree required; 8+ years with a BA or 6+ with a Master’s degree preferred.
• Strong understanding of compensation principles and market pricing methodologies.
• Experience supporting global compensation programs and offers/promotion decisions.

Responsibilities

• Lead market pricing analyses using survey data (Radford, Mercer, Comptryx, etc.).
• Analyze salary structures, pay equity, geographic differentials, and overall competitiveness.
• Drive annual compensation programs: merit, promotions, bonuses, equity, and structure design improvements.
• Lead job mapping, market alignment, and leveling initiatives with new frameworks.
• Consult HRBPs and leaders on global compensation matters and governance.

Skills

Advanced Microsoft Excel

Data analysis

Modeling

Automation

Presentation skills

Communication

Education

Bachelor’s degree in Human Resources, Business, Finance, Economics, or related field

Tools

SAP SuccessFactors

Job description

Teradyne Inc. in North Reading, MA, is seeking a Senior Compensation Analyst to lead the administration, analysis, and continuous improvement of global compensation programs.

The role partners with HR and business leaders to deliver insights, market analyses, and data-driven recommendations aligning with company philosophy and objectives. The ideal candidate will bring advanced Excel skills, data analysis, and experience with compensation design, job architecture, and equity programs.