The Role
Work with global commercial stakeholders to deliver BI, forecasting, machine learning, and LLM-based solutions. Build and automate data pipelines, design dashboards, produce clear insights for executives, and manage multiple analytics projects to drive growth, retention, and client experience.
Summary Generated by Built In
Company:MarshDescription:We are looking for a versatile, well-rounded analytics professional to join our Global Sales and Client Insights & Analytics team — a global group, with members based across multiple geographies combining commercial context with advanced analytics to identify growth opportunities, strengthen retention, unlock whitespace, and elevate client experience. You'll work across the full range of analytics, from reporting and automation to machine learning and LLM-based solutions, a role for someone who enjoys variety and wants their work to drive real decisions.What can you expect?
- A broad, varied remit across business intelligence, advanced analytics, and a growing pipeline of AI/LLM projects.
- The chance to combine traditional analytics with modelling and LLM techniques to solve real business problems.
- Close collaboration with commercial leaders, finance, marketing, and tech.
- Working in a global, multi-cultural team, with the autonomy to shape how analytics is delivered.
- Partner closely with stakeholders across the business to align analyses with business objectives.
- Deliver a wide range of analytics, from high-level reporting and automation to forecasting, machine learning, and LLM-based solutions.
- Turn data into clear, compelling insight that non-technical and executive audiences can act on.
- Communicate insights clearly and concisely to senior leadership, both verbally and in writing.
- Manage multiple projects under tight deadlines, demonstrating effective prioritization and time management.
- Learn our key data sources and get up to speed quickly on new systems.
- Bachelor’s degree in Engineering, Mathematics, Analytics, or a related field, or a Master's degree in Statistics, Business Analytics, or any related discipline.
- 3 to 6 years of experience across both business intelligence and data science / modelling.
- Strong SQL and Python, with hands-on experience building and automating data pipelines (e.g., Databricks).
- Practical machine learning and forecasting experience, plus familiarity with LLM frameworks and how to apply them.
- Working knowledge of Power BI to help design dashboards and translate business needs into clear requirements.
- Strong data visualization, storytelling, and presentation skills.
- Fluent English, written and verbal, this is essential, as the team operates entirely in English across geographies.
- Genuine interest in the business and the flexibility to work across different types of work.
- A commercial sense for matching analytical depth to the value of the output.
- Hands-on experience building LLM-powered tools.
- Strong interest in predictive and prescriptive analytics.
- A self-starter who picks up new tools and domains quickly.
Skills Required
- Bachelor's degree in Engineering, Mathematics, Analytics or related; or Master's in Statistics, Business Analytics or related
- 3 to 6 years of experience across business intelligence and data science/modelling
- Strong SQL and Python
- Hands-on experience building and automating data pipelines (e.g., Databricks)
- Practical machine learning and forecasting experience
- Familiarity with LLM frameworks and applying them
- Working knowledge of Power BI for dashboard design and requirements translation
- Strong data visualization, storytelling, and presentation skills
- Fluent English, written and verbal
- Genuine interest in the business and flexibility to work across different types of work
- Commercial sense for matching analytical depth to value
- Hands-on experience building LLM-powered tools
- Strong interest in predictive and prescriptive analytics
- Self-starter who quickly picks up new tools and domains
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.
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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.
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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.
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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.
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The Company
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.
