Associate Compensation Analyst — Hybrid & Data-Driven

Oliver Wyman; Ciudad de México; Hybrid; MXN 400.000 - 640.000; Vollzeit

Zusammenfassung

Oliver Wyman is seeking an Associate Compensation Analyst to deliver accurate analytical and operational support to the Global Compensation Team. The role partners with Human Capital, Finance and Compensation to maintain high-quality data and provide an excellent internal client experience.

The ideal candidate is analytical, detail-oriented, collaborative, curious, and eager to learn, with 1–2 years of relevant experience and a BA/BS in a related field.

Qualifikationen

• 1–2 years of experience in compensation, finance, HR or analytics preferred.
• BA/BS degree in Economics, Finance, Business or similar.
• English fluency required (written and spoken).
• Strong proficiency in Microsoft Office, especially Excel.
• Experience in Workday is a plus.

Aufgaben

• Track employee movements and maintain records of compensation agreements, country transfers, and retention arrangements.
• Review offer letters and compensation documents to capture guarantees and related agreements.
• Audit compensation data in Workday and internal systems for accuracy and consistency.
• Support on-cycle compensation processes including annual and mid-year salary and bonus reviews.
• Maintain compensation communication materials to keep information accurate and clear.
• Update the consulting leveling tool to reflect current role information.
• Support compensation projects with data analysis and timely execution of deliverables.
• Assist internal stakeholders with compensation requests in a timely, professional manner.

Kenntnisse

Analytical skills

Excel proficiency

English fluency

Ausbildung

BA/BS in Economics/Finance/Business or related

Tools

Workday

Microsoft Excel

Jobbeschreibung

Oliver Wyman is seeking an Associate Compensation Analyst to deliver accurate analytical and operational support to the Global Compensation Team. The role partners with Human Capital, Finance and Compensation to maintain high-quality data and provide an excellent internal client experience.

The ideal candidate is analytical, detail-oriented, collaborative, curious, and eager to learn, with 1–2 years of relevant experience and a BA/BS in a related field.