Marsh McLennan · 4 hours ago
DCX Product Analytics Specialist
New York - 1166
Full-time
Hybrid
Mid, Senior Level
$100K/yr - $212K/yr
2+ years expMarsh is a global leader in risk, reinsurance and capital, and they are seeking a DCX Product Analytics Specialist to join their Analytics Solutions team. This role involves partnering with brokers and product teams to identify analytics needs, building predictive models, and creating dashboards to support decision-making.
Financial ServicesProfessional ServicesService Industry
Responsibilities
Partner with brokers, client executives, and product teams to identify renewal pain points and translate them into clear analytics problems and success criteria
Prepare, clean, and feature-engineer data from multiple sources including policies, claims, quotes, broker notes, and third-party data
Build, evaluate, and validate predictive models that generate actionable insights to support broker renewal decisions
Prototype broker-facing dashboards and reports that translate model outputs into clear, actionable guidance
Collaborate closely with engineering and MLops teams to operationalize models, define data contracts, and support deployment and testing
Document models, assumptions, data lineage, and conduct bias and fairness checks in line with governance requirements
Qualification
Required
Proficiency in Python (pandas, scikit-learn, xgboost/lightgbm) with experience in scripting and reproducible notebooks
Solid understanding of statistical modeling techniques including classification, regression, feature engineering, and model validation
Experience with BI and visualization tools such as Looker, Tableau, or Power BI to create prototype dashboards and deliverable-ready visualizations
Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and ETL/transformation processes, including SQL and dbt
Exposure to MLOps concepts such as model packaging, CI/CD basics, and monitoring
Bachelor's degree in a quantitative or analytical discipline (Statistics, Mathematics, Computer Science, Economics, Engineering) or equivalent practical experience
2–6 years of hands-on analytics or data science experience, including building and validating models
Preferred
Master's degree in a quantitative field
Experience working in insurance, financial services, or with broker workflows
Demonstrated ability to translate technical results into actionable business insights and communicate effectively with diverse stakeholders
Product mindset with the ability to scope MVPs and prioritize features for adoption
Familiarity with Git and production model deployment environments
Benefits
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs
Company
Marsh McLennan
Marsh McLennan (NYSE: MMC) is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman.
10001+ employees
H1B Sponsorship
Marsh McLennan has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (8)
2022 (6)
2020 (11)
Funding
Current Stage
Public CompanyTotal Funding
$11.2B2024-10-30Post Ipo Debt· $7.25B
2024-02-14Post Ipo Debt· $1B
2023-09-06Post Ipo Debt· $1.6B
Leadership Team
Joe Hayes
Senior Vice President, COO Private Client Services
Katherine Brennan
SVP & General Counsel
Recent News
2025-12-01
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2025-10-17
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