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Lead Business Intelligence Engineer

Job in Glen Allen, Henrico County, Virginia, 23060, USA
Listing for: Markel Corporation
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below
What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it.

The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs. Join us and play your part in something special!

At Markel, we believe that what we do really matters. And that every one of us has the power to make a difference. To us, insurance is more than a piece of paper. It’s a promise to help people get back on their feet. It’s a commitment that gives people the courage to take chances. And in uncertain times, it’s the fuel that moves the world forward.

Our Portfolio Analytics team will be free from the corporate financial calendar, aligned to regional business priorities and supporting underwriting decision-making when most needed. The Portfolio Analytics team will be comprised of analytics professionals with a wide range of technical skillsets, including actuaries, data scientists, implementation engineers, data engineers, and data visualization developers.

We envision a dynamic, underwriter-centered function that treats underwriters and regional leaders as its core customers - identifying trends early, delivering actionable insights built on reliable data, and embedding actuarial and predictive models into daily  the Lead Business Intelligence Engineer role, you will lead a team that builds reporting tools and automations that provide real time insight to help support high-stakes decision making.

This position will be responsible for creating high-quality reports and dashboards that allow Markel associates to effectively monitor their portfolio of business and key performance indicators (KPIs), as both a leader and a hands-on contributor. You will work closely with a team of data scientists, engineers, and analysts to enable the modernization and scalability of insights.

What we ask of you:

Lead Power BI Strategy & Design:
Own the overall Power BI solution architecture and design principles for the team, ensuring reports and dashboards deliver strategic insights and actionable results for business stakeholders.

Team Leadership:
Lead a small team of Power BI developers, providing clear direction, prioritizing workloads, delegating tasks, and fostering a collaborative environment.

Strategic Prioritization:
Actively engage with business leaders and project stakeholders to understand business objectives, translate them into actionable data & analytics initiatives, and prioritize the team's workload.

Technical Expertise:
Maintain deep expertise in the latest Power BI features, tools, and best practices, and share this knowledge with the team. Ensure solutions leverage advanced functionalities and performance optimization techniques.

Mentorship & Development:
Mentor and coach team members on Power BI development, data modeling, SQL optimization, and effective communication of data insights.

Collaboration w/ Data Engineering:
Work closely with data engineering and IT teams to ensure requirements and dependencies for refined data are clearly communicated and delivered, enabling accurate and reliable reporting and analytics.

Process Improvement:
Proactively identify opportunities for process improvements, implement best practices, and establish robust testing and documentation standards.

Stakeholder Management:
Effectively communicate features, capabilities, and progress to stakeholders at all levels.

Data Analysis & Modeling:
Deeply understand Markel Specialty's data & analytics solutions to inform strategic decisions. Work with large data sets to identify trends and develop actionable solutions that support insurance product strategic priorities.

Quality Assurance:
Define and enforce quality standards for deliverables, including functionality testing, performance testing, and user acceptance criteria.

Project Leadership:
Contribute to the analysis and discussion of project work with leaders, peers, project management, and customer…
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