Hybrid Compensation Analyst - Data-Driven Pay

AARP; Washington (District of Columbia); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

401(k)

Pension plan

Health insurance

Dental insurance

Vision plans

Paid time off

Tuition reimbursement

Job summary

AARP in Washington, DC seeks a Compensation Analyst to help administer base pay, incentive programs, and annual compensation management. You will collaborate with HR partners to evaluate jobs, set pay levels, and address day-to-day compensation questions.

The role requires a BA/BS in HR or related field with 2+ years of experience, strong Excel skills, data analysis, and the ability to translate findings into actionable recommendations.

Qualifications

• BA/BS in Human Resources, Business Admin, Finance, or related field.
• 2+ years of experience in HR, compensation administration, HR operations, or related area.
• Ability to analyze compensation and workforce data to identify trends and provide actionable recommendations.

Responsibilities

• Administers compensation programs, ensuring fair and appropriate pay.
• Reviews and creates job descriptions; assists with database management for descriptions.
• Supports annual merit and incentive process with data accuracy and deadlines.
• Participates in external salary surveys to ensure competitive pay practices.
• Updates survey data for benchmarks and priced positions.
• Ensures compliance with state and federal laws.
• Supports cross-functional HR projects and analyzes results for concise reporting.
• Assists with rewards and recognition program.

Skills

Data analysis

Excel proficiency

Communication skills

HR operations

Education

BA/BS in HR or related field

Tools

Excel

Job description

AARP in Washington, DC seeks a Compensation Analyst to help administer base pay, incentive programs, and annual compensation management. You will collaborate with HR partners to evaluate jobs, set pay levels, and address day-to-day compensation questions.

The role requires a BA/BS in HR or related field with 2+ years of experience, strong Excel skills, data analysis, and the ability to translate findings into actionable recommendations.