Compensation Analyst — Data-Driven, Impactful Research Role

Cold Spring Harbor Laboratory; Cold Spring Harbor (NY); On-site; USD 60,000 - 67,000; Full time

Job summary

Cold Spring Harbor Laboratory is seeking a Compensation Analyst to join our Human Resources team in New York. The role supports compensation, job coding, descriptions, grants, stipends, and HRIS activities, ensuring accurate data and confidential handling.

The ideal candidate brings strong organizational and analytical skills, is detail-oriented, and can manage multiple priorities with discretion. Experience with Excel and Workday is preferred in a fast-paced research environment.

Qualifications

• Excellent written and verbal communication skills.
• Strong analytical, organizational, problem-solving, and decision-making skills.
• Strong attention to detail and accuracy.
• Proficiency with Microsoft Office, particularly Excel, including the ability to use formulas and perform data analysis.
• Basic knowledge of HRIS systems; experience with Workday is preferred.

Responsibilities

• Support compensation processes, including materials for CR & AC meetings and Board materials.
• Prepare reports, correspondence, and mailings for Lab review processes and annual increases.
• Prepare faculty appointment letters and HR-related communications.
• Conduct salary determinations and market analyses to inform compensation decisions.
• Collect, analyze, and prepare salary data for compensation reviews.

Skills

Communication

Analytical

Attention to detail

Excel

Workday

Data analysis

Discretion

Multitasking

Confidentiality

Education

Bachelor's degree preferred.

Tools

None

Job description

Cold Spring Harbor Laboratory is seeking a Compensation Analyst to join our Human Resources team in New York. The role supports compensation, job coding, descriptions, grants, stipends, and HRIS activities, ensuring accurate data and confidential handling.

The ideal candidate brings strong organizational and analytical skills, is detail-oriented, and can manage multiple priorities with discretion. Experience with Excel and Workday is preferred in a fast-paced research environment.