Full-Time

Data and Analytics Engineering Lead

Reinsurance

Updated on 8/22/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

Compensation Overview

$139k - $277.9k/yr

+ Performance-based incentives

Company Does Not Provide H1B Sponsorship

Princeton, NJ, USA + 2 more

More locations: Norwalk, CT, USA | New York, NY, USA

Hybrid

At least three days per week in the local office or onsite with clients.

Bachelor's, Master's

Category
Data & Analytics (2)
,
Required Skills
Power BI
Python
Data Visualization
R
Data Engineering
Data Modeling
Data Governance
Databricks
Data Analysis
Requirements
  • A Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
  • At least 5 years of experience working within the reinsurance domain, including understanding its data and reporting needs.
  • At least 10 years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities.
  • Proven expertise designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices.
  • Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, and DBT, including integration with Power BI.
  • Familiarity with data governance, security, and compliance standards related to enterprise reporting.
  • Ability to troubleshoot complex data issues and solve problems.
  • Ability to communicate and collaborate effectively with cross-functional teams.
Responsibilities
  • Design and implement enterprise business intelligence architecture, including data models, dashboards, reports, and data gateways, while ensuring performance, usability, and security.
  • Translate business requirements into scalable business intelligence solutions, including data modeling, DAX calculations, and visualization practices, while ensuring adherence to data governance and compliance standards.
  • Provide subject matter expertise in the reinsurance domain for data analytics.
  • Architect and oversee the integration of Power BI with Azure Data Lake Storage, Databricks, and other cloud or on-premises data platforms.
  • Define analytic solutions leveraging Databricks, DBT, and Power BI.
  • Define and enforce development standards, governance policies, and best practices across reports and dashboards.
  • Support enterprise Power BI deployment, including data refresh schedules, security roles, and workspace governance.
  • Identify and address performance bottlenecks in data pipelines and queries, and optimize data processing to reduce latency in data delivery.
  • Optimize Power BI performance through data modeling, query optimization, and report design best practices.
  • Produce design documentation, deployment plans, and user guides.
  • Stay current with Power BI innovations and industry best practices and recommend improvements to reporting capabilities.
Desired Qualifications
  • Proficiency in DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs.
  • Experience leveraging artificial intelligence to enable ad hoc and self-service business intelligence capabilities.
  • Knowledge of Python, R, or other scripting languages to enhance Power BI capabilities.
  • Understanding of information security, data privacy, and cloud security best practices.
  • Strong communication skills for collaborating with technical and non-technical stakeholders.

Marsh, formerly Marsh McLennan, is a global professional services firm focused on risk, insurance, reinsurance, talent and business strategy. Its operating businesses help organizations arrange coverage, model and transfer risk, design workforce programs and address complex management questions. Clients range from growing companies to governments and multinational enterprises. The group combines advisory expertise with insurance-market access and data, making it broader than an insurance broker alone while remaining primarily a business-to-business services organization.

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