Hybrid Data & Analytics Engineering Lead

Marsh; Princeton (NJ); Hybrid; USD 139,000 - 278,000; Full time

Benefits offered by this job

Health benefits

Tuition assistance

401K savings

Job summary

Marsh is hiring a Data and Analytics Engineering Lead for the Reinsurance Data and Analytics team. You will design, develop, and deploy enterprise-scale analytics solutions that empower data-driven decisions across the organization.

The role focuses on scalable BI architecture, data governance, and secure, high-performance analytics environments. You will lead cross-functional teams, implement Power BI with Azure Data Lake, Databricks, and DBT, and drive standards for governance, security, and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field.
• 5+ years in reinsurance data/reporting, with domain knowledge.
• 10+ years in data analytics delivering enhanced capabilities.
• Proven expertise designing/implementing enterprise Power BI solutions (data modeling, DAX, Power Query).
• Strong knowledge of cloud data platforms and integration with Power BI (Azure Data Lake, Databricks, DBT).
• Familiarity with data governance, security, and compliance for enterprise reporting.
• Excellent problem-solving skills and collaboration across teams.

Responsibilities

• Lead design/implementation of enterprise BI architecture (data models, dashboards, reports, data gateways).
• Collaborate with data engineers/analysts to translate requirements into scalable BI solutions.
• Provide subject matter expertise in Reinsurance data analytics.
• Architect/integrate Power BI with sources like ADLS, Databricks, on-prem data platforms.
• Define analytic solutions leveraging Databricks, DBT and Power BI.
• Develop/enforce development standards, governance policies, and best practices.
• Support deployment of Power BI in enterprise environments (data refresh, security roles, governance).
• Identify/resolve performance bottlenecks in data pipelines/queries to reduce latency.
• Optimize Power BI performance via data modeling and query optimization.
• Produce design docs, deployment plans, and user guides.
• Stay current with Power BI innovations and industry best practices.

Skills

Power BI

Data modeling

DAX

Visualization best practices

Cross-functional collaboration

Education

Bachelor's or Master's in CS/IS/Engineering

Tools

Databricks

Azure Data Lake

DBT

Power BI

Azure Synapse Analytics

Job description

Marsh is hiring a Data and Analytics Engineering Lead for the Reinsurance Data and Analytics team. You will design, develop, and deploy enterprise-scale analytics solutions that empower data-driven decisions across the organization.

The role focuses on scalable BI architecture, data governance, and secure, high-performance analytics environments. You will lead cross-functional teams, implement Power BI with Azure Data Lake, Databricks, and DBT, and drive standards for governance, security, and