Oliver Wyman - Associate Compensation Analyst - Mexico City
Marsh McLennan is hiring an Oliver Wyman - Associate Compensation Analyst - Mexico City (Mexico). Level rates it ; you can apply on Marsh McLennan.
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- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a junior role.
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- Posted in the last few days.
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Company:
Oliver WymanDescription:
About Oliver Wyman
Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.
For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Job Overview:
Oliver Wyman is seeking an Associate Compensation Analyst to provide accurate, timely analytical, data, and operational support to the Global Compensation Team. This role partners closely with Human Capital, Finance and Compensation colleagues to support the effective delivery of compensation activities, maintain high-quality compensation data, and provide exceptional internal client experience.
As the foundational role within the Global Compensation team, the Associate Compensation Analyst will develop knowledge of Oliver Wyman's compensation programs, processes, and practices while building analytical and technical capabilities. The ideal candidate is analytical, detail-oriented, collaborative, curious, and eager to learn.
*PLEASE SUBMIT CVs IN ENGLISH*
* THIS IS A HYBRID ROLE THAT REQUIRES A PRESENCE IN THE OFFICE 2 DAYS PER WEEK. THERE IS NO OPTION TO BE FULLY REMOTE.*
Key Responsibilities:
- Track employee movements and maintain accurate records of related compensation agreements, including country transfers, talent management programs, compensation model changes, guarantees, sign-on awards, and retention arrangements.
- Review offer letters and other compensation documentation to accurately capture and track compensation guarantees and related agreements.
- Audit compensation data within Workday and internal systems to ensure data accuracy, integrity, and consistency, investigating and resolving discrepancies and escalating more complex issues as appropriate.
- Support on-cycle compensation processes, including annual and mid-year salary and bonus review activities, through data preparation, validation, reporting, and execution of defined activities.
- Maintain and update compensation communication materials to ensure information is accurate, current, and clearly communicated to stakeholders.
- Maintain the consulting levelling tool by ensuring that role information remains accurate, up to date, and aligned with business needs.
- Support compensation projects and cross-functional initiatives by providing data analysis, research, operational support, and timely execution of assigned deliverables.
- Assist with compensation-related requests from internal stakeholders in a timely, professional, and client-focused manner, escalating questions as appropriate.
- Leverage approved technology and AI-enabled tools to improve documentation, reporting accuracy and operational efficiency while maintaining confidentiality and adhering to firm governance standards.
Your Education and Experience
- At least 1-2 years of experiences working in compensation, finance, human resources or analytics preferred
- BA or BS degree in Economics, Finance, Business or similar
- English fluency required (written and spoken)
- Strong proficiency in Microsoft Office, especially Excel.
- Comfortable working with large datasets in Excel with a strong focus on accuracy.
- Experience in Workday is a plus
Skills and Abilities
- Strong analytical and problem-solving skills with exceptional attention to detail.
- Demonstrates accountability for delivering accurate, high-quality work.
- Excellent organizational skills with the ability to prioritize multiple tasks and meet deadlines.
- Builds productive working relationships and collaborates effectively across teams.
- Communicates clearly and professionally, both verbally and in writing.
- Exercises sound judgment and maintains strict confidentiality when handling sensitive information.
- Demonstrates curiosity and a willingness to learn new systems, technologies and compensation practices.
- Adapts well to changing priorities and contributes positively to a collaborative team environment.
- Demonstrates a client-service orientation and responds to internal stakeholders in a timely and professional manner.
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.
How we rate this
Oliver Wyman - Associate Compensation Analyst - Mexico City at Marsh McLennan rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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