Compensation Analyst — Data-Driven Pay & Programs

Macy's; Springdale (OH); In loco; USD 65.000 - 95.000; Tempo pieno

Vantaggi offerti da questo lavoro

Merchandise discounts

Performance-based incentives

Annual merit review

Employee Assistance Program

Tuition reimbursement

401(k) match

Paid time off

Holidays

Volunteer opportunities

Descrizione del lavoro

Macy’s is seeking a Compensation Analyst to provide analytical support to the Compensation team and business groups to ensure alignment between compensation programs and business objectives. The analyst develops predictive models and summarizes market research to inform compensation best practices.

You will execute compensation programs, analyze datasets, and report insights to influence decision‑making. Strong Excel, data management, and communication skills are essential to supporting rewards

Competenze

• Bachelor's degree or equivalent work experience in a related field.
• Strong analytical skills and quantitative background.
• Proficiency in Excel and data tools for reporting.

Mansioni

• Execute assigned compensation programs accurately and on schedule.
• Support the implementation and maintenance of compensation programs including commissions, salary structures, and adjustments.
• Query and analyze complex datasets for reporting and decision-making.
• Provide analytical support to align compensation with business objectives and assess program impact.
• Audit and summarize current compensation programs through standard and ad hoc reporting.

Conoscenze

Data analysis

Excel mastery

HR analytics

Financial acumen

Communication

Problem solving

Collaboration

Independence

Formazione

Bachelor's degree or equivalent in related field

Strumenti

Oracle HCM

Pay Factors

Microsoft Access

VBA

Descrizione del lavoro

Macy’s is seeking a Compensation Analyst to provide analytical support to the Compensation team and business groups to ensure alignment between compensation programs and business objectives. The analyst develops predictive models and summarizes market research to inform compensation best practices.

You will execute compensation programs, analyze datasets, and report insights to influence decision‑making. Strong Excel, data management, and communication skills are essential to supporting rewards