Data and Analytics Engineering Lead, Reinsurance
AI summary of the role
This role leads the design and deployment of enterprise-scale analytics solutions for the Reinsurance Data and Analytics team at Guy Carpenter (a Marsh & McLennan company).
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead design and implementation of enterprise BI architecture including data models, dashboards, reports, and data gateways.
- Collaborate with data engineers and stakeholders to translate business requirements into scalable BI solutions using data modeling, DAX, and visualization best practices.
- Architect and oversee integration of Power BI with Azure Data Lake Storage, Databricks, and other cloud/on-premise data platforms.
- Develop and enforce development standards, governance policies, and best practices for consistency, security, and maintainability.
What you’ll bring
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or related field.
- 5+ years of experience within the reinsurance domain.
- 10+ years of experience in data analytics with extensive experience delivering enhanced data and analytical capabilities.
- Proven expertise in designing and implementing enterprise Power BI solutions including data modeling, DAX, Power Query, and visualization best practices.
Technologies
Power BI · DAX · Power Query · Azure Data Lake Storage · Azure Synapse Analytics · Databricks · DBT · Power BI Service · Power BI Embedded · Power BI REST APIs
About Marsh & McLennan
Advises organizations on risk, insurance, reinsurance, benefits, investments, and management consulting, combining broker market access with global analytics and operating scale.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Company: Guy Carpenter Description: As Data and Analytics Engineering Lead within our Reinsurance Data and Analytics team, you will be instrumental in designing, developing, and deploying enterprise-scale Analytics solutions that enable data-driven decision-making across the organization. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance analytic environments, ensuring alignment with business needs and data governance standards. We will count on you to: Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways, ensuring optimal performance, usability, and security. Collaborate with data engineers, analysts, and stakeholders to translate business requirements into scalable BI solutions, including data modeling, DAX calculations, and visualization best practices.
More from the job description
Company: Guy Carpenter Description: As Data and Analytics Engineering Lead within our Reinsurance Data and Analytics team, you will be instrumental in designing, developing, and deploying enterprise-scale Analytics solutions that enable data-driven decision-making across the organization. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance analytic environments, ensuring alignment with business needs and data governance standards. We will count on you to: Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways, ensuring optimal performance, usability, and security. Collaborate with data engineers, analysts, and stakeholders to translate business requirements into scalable BI solutions, including data modeling, DAX calculations, and visualization best practices. Ensure adherence to data governance and compliance standards in data modeling and architecture Provide subject matter expertise in the Reinsurance domain for data analytics. Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms. Define analytic solution leveraging Databricks, DBT and Power BI. Develop and enforce development standards, governance policies, and best practices to en [... source excerpt omitted ...] resting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for 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. Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.co [... source excerpt omitted ...] boration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. The applicable base salary range for this role is $139,000 to $277,900. 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 m
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