Description

We are seeking a talented individual to join our Careers team at Mercer. This role will be based in New York, NY. This is a hybrid role that has a requirement of working at least three days a week in the office.

At Mercer, our team applies advanced analytics to help organizations make better decisions about their workforce. This includes areas such as pay equity, workforce planning, and talent strategy.

In this role, you will work with large, complex datasets and apply statistical and machine learning techniques to uncover insights that drive real business impact. You will play a key role in shaping analyses, interpreting results, and communicating findings to both technical and non-technical audiences.

We will count on you to:

• Lead and execute advanced statistical analyses (e.g., regression, machine learning models) on large workforce datasets
• Translate complex analytical findings into clear, actionable insights and client-ready deliverables
• Partner with project leads to refine analytical approach and adapt scope based on findings
• Structure, clean, and validate large datasets to ensure analytical integrity
• Develop and present insights to internal stakeholders and client teams, including executive audiences
• Support and mentor junior analysts, including reviewing work and guiding analytical approach
• Contribute to the development of new analytical tools, frameworks, and methodologies
• Core areas of work include: Pay equity and compensation analytics; Strategic workforce planning and labor market analyses; Employee lifecycle/talent analytics; and DEI-focused analytics/insights

What you need to have:

• Advanced degree (PhD, Master's, or MBA) in a quantitative field such as: Economics, Statistics, I/O Psychology, Computer Science, Data Analytics, Biostatistics, or related field
• Strong proficiency in R
• Experience working with large, complex datasets (data structuring, cleaning, validation)
• Strong foundation in statistical methods (e.g., regression, random forest, modeling techniques)
• Ability to translate technical findings into clear, business-relevant insights

What makes you stand out?

• Experience with Python and Tableau
• Experience applying analytics in a consulting or client-facing environment
• Familiarity with workforce analytics topics (e.g., pay equity, strategic workforce planning)
• Strong storytelling skills - ability to connect data to business implications
• Experience with AI architecture and orchestration (e.g., RAG, LLM-based systems, agent workflows)
• AI-native mindset; experience building or working with AI agents is a plus
• Working knowledge of Git and Databricks is a plus
• Ability to operate independently while contributing to a collaborative team environment

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Mercer 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 about Mercer, visit mercer.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of 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, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.

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.

The applicable base salary range for this role is $75,500 to $151,000.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.