Data and Analytics Engineering Lead, Reinsurance

About the role

As Data and Analytics Engineering Lead within the Reinsurance Data and Analytics team, you will design, develop and deploy enterprise-scale analytics solutions that support data-driven decisions across the organization. You will work with cross-functional teams to build scalable, secure and high-performance analytic environments aligned with business needs and data governance standards.

Key responsibilities

• Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports and data gateways, with performance, usability and security in mind.
• Translate business requirements into scalable BI solutions with data modeling, DAX calculations and visualization best practices, while adhering to data governance and compliance standards.
• Provide subject matter expertise in the reinsurance domain for data analytics.
• Integrate Power BI with data sources such as Azure Data Lake Storage, Databricks and other cloud or on-premise platforms, and define analytic solutions using Databricks, DBT and Power BI.
• Develop and enforce development standards, governance policies and best practices for reports and dashboards.
• Support Power BI deployment, including data refresh schedules, security roles and workspace governance.
• Identify and fix performance bottlenecks in data pipelines and queries, and optimize Power BI performance through data modeling, query optimization and report design.
• Produce design documentation, deployment plans and user guides, and stay current with Power BI innovations.

Required profile

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related field.
• 5+ years of experience in the reinsurance domain, understanding its data and reporting needs.
• 10+ years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities.
• Excellent problem-solving and communication skills, able to collaborate with cross-functional teams.

Required skills

• Proven expertise in enterprise Power BI solutions, including data modeling, DAX, Power Query and visualization best practices.
• Strong knowledge of Azure Data Lake, Azure Synapse Analytics, Databricks, DBT and their integration with Power BI.
• Familiarity with data governance, security and compliance standards for enterprise reporting.
• Nice to have: DAX, Power BI Service, Power BI Embedded and REST APIs; Python, R or other scripting languages; knowledge of information security and cloud security best practices.

What we offer

• Base salary range of $139,000 to $277,900, depending on experience, skills, location and other factors, with possible performance-based incentives.
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs.
• Professional development opportunities and a hybrid work arrangement, with at least three days per week in the office.