Senior Product & Analytics Lead

Markel Corporation

Wauwatosa (WI)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Markel Corporation is seeking a Manager, Product & Analytics to lead the MPL data analytics team, shaping strategy, delivery, and stakeholder partnerships. You will hire and develop analysts, oversee prioritization, and drive high-quality analytical solutions that align with business objectives.

The role emphasizes governance, automation, and scalable analytics, with collaboration across Product Managers to support product P&Ls.

Qualifications

Bachelor's degree in analytics, statistics, mathematics, computer science, economics, business, actuarial science, or related field preferred.
7+ years of analytics or reporting experience, including 2+ years leading, coaching, or mentoring teams.
Advanced proficiency with SQL, DAX, Microsoft analytics tools, BI platforms, and data visualization.
Working knowledge of Python or R, statistical methods, predictive modeling, and modern analytics practices.
Demonstrated success managing analytics portfolios, priorities, projects, and resources.
Excellent problem solving, executive communication, stakeholder management, and change-leadership skills.
Knowledge of data governance and insurance operations; personal lines experience preferred.

Responsibilities

Define and maintain the analytics strategy and multi-year roadmap in alignment with MPL priorities.
Own the intake and prioritization process, balancing business value, urgency, risk, and team capacity.
Oversee analytics initiatives from problem definition and requirements through delivery, adoption, and outcome measurement.
Establish delivery standards and ensure timely, accurate, and actionable reporting and analytical solutions.
Oversee data sourcing and access strategy in partnership with IT, data owners, and business teams.
Own data quality, governance, privacy, security, regulatory compliance, and responsible data-use practices.
Set technical standards and tooling direction for reporting, statistical analysis, modeling, and visualization.
Champion automation, reusable solutions, and self-service analytics to improve efficiency and scalability.
Hire, coach, and develop data analysts; set performance expectations and support career progression.
Manage workload, capacity, resourcing, and team operating rhythms to sustain reliable delivery.
Represent analytics with senior and executive leaders and build strong cross-functional partnerships.
Lead and manage operational initiatives and projects for the MPL Product & Analytics department
Collaborate closely with Product Managers to provide data-driven insights and tools for managing product P&Ls.