Workforce Strategy and Analytics Senior Analyst

Posted 9 Days Ago
Be an Early Applicant
Westlake Village, CA, USA
In-Office
76K-151K Annually
Senior level
Fintech • HR Tech • Insurance • Consulting
The Role
Lead advanced statistical and machine-learning analyses on large workforce datasets to deliver pay equity, workforce planning, and talent analytics. Clean and validate data, shape analytical approaches, present client-ready insights to executives, mentor junior analysts, and contribute to new tools and methodologies supporting HR and compensation analytics.
Summary Generated by Built In
Company:Mercer

Description:

We are seeking a talented individual to join our Careers team at Mercer. This role will be based in Los Angeles, CA. 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

  • Thrive and be motivated by an environment that embraces AI and technology-enabled tools.

  • 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

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 or Power BI

  • Experience applying analytics in a consulting or client-facing environment

  • Experience with workforce analytics topics (e.g., pay equity, strategic workforce planning)

  • Familiarity with HR and compensation principles is a plus (e.g., job architecture, benchmarking, salary structures)

  • 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 an impact on 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 [email protected].

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.

Skills Required

  • Advanced degree (Master's, PhD, or MBA) in a quantitative field (Economics, Statistics, I/O Psychology, Computer Science, Data Analytics, Biostatistics, related)
  • Strong proficiency in R
  • Experience working with large, complex datasets (structuring, cleaning, validation)
  • Strong foundation in statistical methods (regression, random forest, other modeling techniques)
  • Ability to translate technical findings into clear, business-relevant insights and deliver client-ready presentations
  • Ability to operate independently while contributing to a collaborative team environment
  • Based in Los Angeles, CA and able to work hybrid with at least three days per week in the office
  • Experience with Python
  • Experience with Tableau or Power BI
  • Experience applying analytics in a consulting or client-facing environment
  • Experience with workforce analytics topics (pay equity, strategic workforce planning) and HR/compensation principles
  • Familiarity with AI architecture and orchestration (RAG, LLM-based systems) and AI-agent workflows
  • Working knowledge of Git and Databricks

Marsh McLennan Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.

  • Leave & Time Off Breadth Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
  • Healthcare Strength Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
  • Retirement Support Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.

Marsh McLennan Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

What We Do

Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.

Similar Jobs

Micron Technology Logo Micron Technology

Signal Integrity Engineer - MTS

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
2 Locations
45000 Employees
155K-340K Annually

Micron Technology Logo Micron Technology

Staff mNAND Product Line Manager

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
San Jose, CA, USA
45000 Employees
251K-274K Annually

Micron Technology Logo Micron Technology

Design Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
San Jose, CA, USA
45000 Employees
83K-198K Annually

Micron Technology Logo Micron Technology

Designer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
San Jose, CA, USA
45000 Employees
63K-120K Hourly

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account