Data & Analytics Engineering Lead: Power BI & Azure Expert

Marsh; New York (NY); Hybrid; USD 139,000 - 278,000; Full time

Benefits offered by this job

Health and welfare benefits

Tuition assistance

401K savings plan

Employee assistance programs

Job summary

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

You will lead BI architecture, collaborate with data engineers and stakeholders, and oversee Power BI integration with Azure Data Lake, Databricks, and other platforms, ensuring governance and security across reports.

Qualifications

• Bachelor’s or Master’s in CS/IS/Engineering or related field.
• 5+ years in the reinsurance domain.
• 10+ years in data analytics and delivering analytics capabilities.
• Expertise in enterprise Power BI: data modeling, DAX, Power Query and Visualization.
• Cloud data platforms: Azure Data Lake, Azure Synapse, Databricks, DBT with Power BI integration.
• Data governance, security and compliance knowledge for enterprise reporting.
• Strong problem-solving and cross-functional collaboration skills.

Responsibilities

• Lead design and implementation of enterprise BI architecture with dashboards, data gateways, and security.
• Collaborate with data engineers, analysts, and stakeholders to translate requirements into scalable BI solutions.
• Provide SME in Reinsurance data analytics and governance.
• Architect and oversee Power BI integration with data sources like ADLS, Databricks, and cloud/on-prem platforms.
• Define analytic solutions leveraging Databricks, DBT and Power BI.
• Develop governance standards to ensure consistent, secure reports and dashboards.
• Support enterprise Power BI deployment including data refresh, security roles, and workspace governance.
• Identify and address data pipeline bottlenecks and optimize data processing to reduce latency.
• Improve Power BI performance with proper data modeling and query optimization.
• Produce design docs, deployment plans, and user guides.
• Stay current with Power BI innovations and best practices.

Skills

Power BI

DAX

Power Query

Data modeling

Azure Data Lake

Databricks

DBT

Azure Synapse Analytics

Power BI REST APIs

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field

Tools

Databricks

DBT

Azure Data Lake Storage

Azure Synapse Analytics

Power BI

Job description

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

You will lead BI architecture, collaborate with data engineers and stakeholders, and oversee Power BI integration with Azure Data Lake, Databricks, and other platforms, ensuring governance and security across reports.