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Closed listing

Senior Data Analyst

Marsh · White Plains, NY, United States · Hartford, CT, United States · Alexandria, LA, United States · Kingsport, TN, United States · Maitland, FL, United States · Cincinnati, OH, United States · Tampa, FL, United States · Mandan, ND, United States · Missoula, MT, United States · Louisville, KY, United States · Florence, AL, United States · Tallahassee, FL, United States · Schaumburg, IL, United States · Honolulu, HI, United States · West Point, GA, United States · Lake Oswego, OR, United States · Columbus, GA, United States · Kahului, HI, United States · Thomaston, GA, United States · Virginia Beach, VA, United States · Appleton, WI, United States · Los Angeles, CA, United States · Jackson, MS, United States · Hilo, HI, United States · Dothan, AL, United States · Kailua Kona, HI, United States · Irvine, CA, United States · Little Rock, AR, United States · Newport, OR, United States · Greensboro, NC, United States · Atlanta, GA, United States · Charleston, WV, United States · Fort Myers, FL, United States · Fayetteville, AR, United States · Manchester, NH, United States · Wilmington, NC, United States · Chattanooga, TN, United States · Lexington, SC, United States · Dallas, TX, United States · Ashburn, VA, United States · Rochester, NY, United States · Mobile, AL, United States · Phoenix, AZ, United States · Dearborn, MI, United States · New York, NY, United States · San Antonio, TX, United States · Alpharetta, GA, United States · Bozeman, MT, United States · Austin, TX, United States · Easley, SC, United States · Troy, AL, United States · Birmingham, AL, United States · Hanover Park, IL, United States · Mount Pleasant, SC, United States · Butte, MT, United States · Portland, ME, United States · Statesville, NC, United States · Salt Lake City, UT, United States · Helena, MT, United States · Charlotte, NC, United States · Abilene, TX, United States · Martinez, GA, United States · Delafield, WI, United States · San Ramon, CA, United States · Denver, CO, United States · Southborough, MA, United States · Pittsburgh, PA, United States · Nashville, TN, United States · Bend, OR, United States · Corvallis, OR, United States · Lexington, KY, United States · Knoxville, TN, United States · Dakota Dunes, SD, United States · Jupiter, FL, United States · Chesterfield, MO, United States · Syracuse, NY, United States · Westlake, TX, United States · McLean, VA, United States · Philadelphia, PA, United States · Rio Grande, NJ, United States · West Palm Beach, FL, United States · Kearney, NE, United States · Dublin, OH, United States · St. Louis, MO, United States · Norwalk, CT, United States · South Portland, ME, United States · Colchester, VT, United States · Grand Rapids, MI, United States · Winston-Salem, NC, United States · Waverly, IA, United States · Richmond, VA, United States · Houston, TX, United States · Hoboken, NJ, United States · Indianapolis, IN, United States · West Des Moines, IA, United States · Hattiesburg, MS, United States · Miami, FL, United States · San Francisco, CA, United States · Carmel, IN, United States · Westbrook, ME, United States · Chagrin Falls, OH, United States · Waukesha, WI, United States · Orland Park, IL, United States · Washington, DC, United States · Chicago, IL, United States · Bonita Springs, FL, United States · La Vista, NE, United States · Cary, NC, United States · Fremont, NE, United States · Columbia, SC, United States · Hardinsburg, KY, United States · Lincoln, NE, United States · Greenville, SC, United States · Van Nuys, CA, United States · Minneapolis, MN, United States · New Iberia, LA, United States · Walla Walla, WA, United States · Red Bank, NJ, United States · Palm Beach Gardens, FL, United States · Lafayette, LA, United States · Shreveport, LA, United States · Raleigh, NC, United States · Spartanburg, SC, United States · Fargo, ND, United States · Towson, MD, United States · Palm Beach, FL, United States · Sacramento, CA, United States · Golden Valley, MN, United States · Princeton, NJ, United States · Conshohocken, PA, United States · Lubbock, TX, United States · Polson, MT, United States · Baton Rouge, LA, United States · Melville, NY, United States · Memphis, TN, United States

About employer

Closed listing

Marsh

Senior Data Analyst

White Plains, NY, United States
Hartford, CT, United States
Alexandria, LA, United States
Kingsport, TN, United States
Maitland, FL, United States
Cincinnati, OH, United States
Tampa, FL, United States
Mandan, ND, United States
Missoula, MT, United States
Louisville, KY, United States
Florence, AL, United States
Tallahassee, FL, United States
Schaumburg, IL, United States
Honolulu, HI, United States
West Point, GA, United States
Lake Oswego, OR, United States
Columbus, GA, United States
Kahului, HI, United States
Thomaston, GA, United States
Virginia Beach, VA, United States
Appleton, WI, United States
Los Angeles, CA, United States
Jackson, MS, United States
Hilo, HI, United States
Dothan, AL, United States
Kailua Kona, HI, United States
Irvine, CA, United States
Little Rock, AR, United States
Newport, OR, United States
Greensboro, NC, United States
Atlanta, GA, United States
Charleston, WV, United States
Fort Myers, FL, United States
Fayetteville, AR, United States
Manchester, NH, United States
Wilmington, NC, United States
Chattanooga, TN, United States
Lexington, SC, United States
Dallas, TX, United States
Ashburn, VA, United States
Rochester, NY, United States
Mobile, AL, United States
Phoenix, AZ, United States
Dearborn, MI, United States
New York, NY, United States
San Antonio, TX, United States
Alpharetta, GA, United States
Bozeman, MT, United States
Austin, TX, United States
Easley, SC, United States
Troy, AL, United States
Birmingham, AL, United States
Hanover Park, IL, United States
Mount Pleasant, SC, United States
Butte, MT, United States
Portland, ME, United States
Statesville, NC, United States
Salt Lake City, UT, United States
Helena, MT, United States
Charlotte, NC, United States
Abilene, TX, United States
Martinez, GA, United States
Delafield, WI, United States
San Ramon, CA, United States
Denver, CO, United States
Southborough, MA, United States
Pittsburgh, PA, United States
Nashville, TN, United States
Bend, OR, United States
Corvallis, OR, United States
Lexington, KY, United States
Knoxville, TN, United States
Dakota Dunes, SD, United States
Jupiter, FL, United States
Chesterfield, MO, United States
Syracuse, NY, United States
Westlake, TX, United States
McLean, VA, United States
Philadelphia, PA, United States
Rio Grande, NJ, United States
West Palm Beach, FL, United States
Kearney, NE, United States
Dublin, OH, United States
St. Louis, MO, United States
Norwalk, CT, United States
South Portland, ME, United States
Colchester, VT, United States
Grand Rapids, MI, United States
Winston-Salem, NC, United States
Waverly, IA, United States
Richmond, VA, United States
Houston, TX, United States
Hoboken, NJ, United States
Indianapolis, IN, United States
West Des Moines, IA, United States
Hattiesburg, MS, United States
Miami, FL, United States
San Francisco, CA, United States
Carmel, IN, United States
Westbrook, ME, United States
Chagrin Falls, OH, United States
Waukesha, WI, United States
Orland Park, IL, United States
Washington, DC, United States
Chicago, IL, United States
Bonita Springs, FL, United States
La Vista, NE, United States
Cary, NC, United States
Fremont, NE, United States
Columbia, SC, United States
Hardinsburg, KY, United States
Lincoln, NE, United States
Greenville, SC, United States
Van Nuys, CA, United States
Minneapolis, MN, United States
New Iberia, LA, United States
Walla Walla, WA, United States
Red Bank, NJ, United States
Palm Beach Gardens, FL, United States
Lafayette, LA, United States
Shreveport, LA, United States
Raleigh, NC, United States
Spartanburg, SC, United States
Fargo, ND, United States
Towson, MD, United States
Palm Beach, FL, United States
Sacramento, CA, United States
Golden Valley, MN, United States
Princeton, NJ, United States
Conshohocken, PA, United States
Lubbock, TX, United States
Polson, MT, United States
Baton Rouge, LA, United States
Melville, NY, United States
Memphis, TN, United States

The applicable base salary range for this role is $100,000 to $150,000.

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: The applicable base salary range for this role is $100,000 to $150,000.
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. More than 10,000 of the industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Platform Engineer at MMA.

Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 180 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh McLennan (NYSE: MMC).

A day in the life. As a Senior Data Analyst, you will design, build and governs AI-enabled analytics products on the enterprise lakehouse and semantic layer, turning governed data into models, metrics and intelligent reporting used by business leaders. The role combines analytics engineering, machine learning and data architecture, applying computer science and statistical methods to build production analytics systems.

Responsibilities

AI-enabled analytics products. Design and build analytics solutions that embed machine learning and large language models, including natural-language query over governed semantic models, automated insight generation, anomaly detection and forecasting on insurance and brokerage data.
Analytics engineering on the lakehouse. Build and optimize data models and transformation pipelines in Databricks and Microsoft Fabric using a medallion architecture, with SQL, Python and PySpark. Own data quality tests, lineage and performance tuning.
Semantic layer and BI architecture. Design tabular semantic models, DAX measures and row-level security for Power BI and Power BI Embedded, and support migration of legacy Analysis Services models.
Model development and evaluation. Apply statistical methods and ML techniques to select, train, validate and monitor models. Design evaluation frameworks for LLM outputs, including accuracy, grounding and bias checks.
AI governance and security. Implement controls so AI features respect data classification, access policies and row-level security. Partner with data management and AI strategy teams on responsible-AI standards.
Stakeholder partnership. Translate business questions from producers, finance and operations leaders into technical designs, and document solutions for offshore and vendor delivery teams.

Qualifications

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Information Systems, Engineering or a closely related quantitative field, or a Bachelor's degree (or foreign equivalent) in one of those fields plus 5 years of progressive, post-baccalaureate experience in analytics engineering, data engineering, machine learning or BI development.
Advanced SQL, including query performance tuning
Python for data processing and machine learning
Building data pipelines on a cloud lakehouse platform such as Databricks, Microsoft Fabric or Snowflake
Dimensional or tabular data modeling for BI
Developing, evaluating or deploying machine learning or LLM-based solutions
Statistical analysis methods
Deep exposure to the FinTech with special focus on Insurance Domain
Strong team player with ability to lead focus pods successfully
Ability to clearly articulate problem statements and design decisions
Flexible to pivot on feedback
Follow the agile discipline

Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We’ve built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfilment outside of work.

Some benefits included in this role are:
Generous time off, including personal and volunteering
Remote work
Tuition reimbursement and professional development opportunities
Charitable contribution match programs
Stock purchase opportunities

To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure:

https://www.instagram.com/lifeatmma/
https://www.facebook.com/LifeatMMA
https://twitter.com/marsh_mma
https://www.linkedin.com/company/marsh-mclennan-agency/

Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.

Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $100,000 to $150,000.

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.

About employer

More about this job

Skills

MMA
Reporting
Forecasting
Data models
Databricks
SQL
Python
PySpark
Architectural design
Microsoft Power BI
ML
Data management
Computer science
Statistics
Data engineering
Machine learning
Process data
Snowflake
Data modelling

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