Lead Data & Analytics Engineer, Reinsurance

Internationalinsuranceprofessionals; Connecticut; Hybrid; USD 139,000 - 278,000; Full time

Benefits offered by this job

Health benefits

401K

Tuition assistance

Job summary

Marsh is seeking a Data and Analytics Engineering Lead to design, develop, and deploy enterprise-scale analytics solutions across the organization. You will architect scalable BI environments, lead cross-functional collaboration, and ensure governance, security, and performance in data pipelines and dashboards.

You will work with Azure Data Lake, Databricks, DBT, and Power BI, delivering data-driven insights for reinsurance stakeholders.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or related field.
• 5+ years of experience in the reinsurance domain and understanding of its data/reporting needs.
• 10+ years of experience in data analytics with proven delivery of enhanced data and analytics capabilities.
• Expertise in 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, DBT and integration with Power BI.
• Familiarity with data governance, security, and compliance standards for enterprise reporting.
• Excellent problem-solving skills and ability to troubleshoot complex data issues.
• Strong communication skills and collaboration with cross-functional teams.

Responsibilities

• Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways.
• Translate business requirements into scalable BI solutions with data modeling, DAX, and visualization best practices.
• Provide subject matter expertise in Reinsurance data analytics.
• Architect and oversee integration of Power BI with Azure Data Lake, Databricks, and other data platforms.
• Define analytic solutions leveraging Databricks, DBT and Power BI.
• Develop and enforce governance and security standards across reports and dashboards.
• Support deployment of Power BI in enterprise environments with data refresh, security roles, and governance.
• Identify and address performance bottlenecks in data pipelines and queries to reduce latency.
• Optimize Power BI performance through modeling, querying, and report design best practices.
• Produce design documentation, deployment plans, and user guides.
• Stay current with Power BI innovations and industry best practices.

Skills

DAX

Power BI

Data modeling

Power Query

Azure Databricks

Education

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

Tools

Power BI

Azure Data Lake Storage

Databricks

DBT

Azure Synapse Analytics

Job description

Marsh is seeking a Data and Analytics Engineering Lead to design, develop, and deploy enterprise-scale analytics solutions across the organization. You will architect scalable BI environments, lead cross-functional collaboration, and ensure governance, security, and performance in data pipelines and dashboards.

You will work with Azure Data Lake, Databricks, DBT, and Power BI, delivering data-driven insights for reinsurance stakeholders.