We are seeking a talented individual to join our Data Management and analytics team. This role will be based in New York, NY. This is a hybrid role that requires at least three days a week in the office.
Marsh is a global leader in insurance broking and risk management. In more than 130 countries, our experts across industries and every facet of risk help clients anticipate, quantify, and better understand the risks they face. In today’s increasingly uncertain global business environment, Marsh helps clients to thrive and survive. The Role In this role, you will support Senior Leaders across the organization by using data analysis to improve operational capabilities (onshore and offshore), increase efficiency and effectiveness, and help ensure the successful implementation of departmental initiatives. You will provide leadership and actively participate in projects and cross-functional teams to analyze and optimize complex business processes. You will also be responsible for in-depth research and analysis, developing robust, fact-based reporting to support change, and creating materials to support communications, training, and adoption of desired outcomes. Within the first 90 days, you will be expected to build relationships with key stakeholders, develop an in-depth understanding of relevant systems, and analyze data to provide insights, identify opportunities for improvement, and track progress. What can you expect? You can expect to work closely with senior stakeholders and project teams to turn data into insights that drive operational improvements, support change initiatives, and enable better decision-making across the organization.
We will count on you to:
- Demonstrate strong data analytical and data modeling skills
- Maintain excellent organizational skills and a strong eye for detail to assess data sets for trends and forecasting
- Apply strong problem-solving capabilities and process large volumes of information to add value to the business
- Communicate insights clearly, including presenting data in a storytelling format for management audiences
- Bring experience in data and capacity modelling to support business outcomes
- Develop materials to support communications, reporting, and training based on analysis outcomes
- Challenge existing practices, identify opportunities, and develop innovative solutions
- Support data quality initiatives and continuously refine metrics and insights
- Lead by example, serving as a role model and maintaining high ethical standards
- Monitor external trends and best practices and implement appropriate action plans
What you need to have:
- Bachelor’s degree in mathematics/statistics or a finance-related degree
- Minimum 5 years of experience in financial services, P&C, or industry services
- Advanced technology skills, with expertise in Excel
- Experience with Data Modeling
- Deep curiosity and interest in understanding the business
- Strong knowledge of roles, process, and technology
- Excellent communication skills
- Aptitude for learning and teaching
What makes you stand out:
- Recognized as a problem-solver
- Strong history of collaboration and teamwork
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.
Skills Required
- Bachelor's degree in mathematics, statistics, or a finance-related field
- Minimum 5 years of experience in financial services, P&C, or industry services
- Advanced technology skills with expertise in Excel
- Experience with data modeling
- Strong knowledge of roles, processes, and technology
- Excellent communication skills
- Aptitude for learning and teaching
- Deep curiosity and interest in understanding the business
- Recognized as a problem-solver
- Strong history of collaboration and teamwork
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.
Marsh McLennan Insights
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.




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