Senior Principal Data Analyst

Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. Summary: Under minimal supervision, develops and maintains robust data solutions, reporting frameworks, dashboards, and visualizations that drive business insights and support strategic decision-making. Partners closely with business stakeholders, data engineers, architects, governance teams, and technology partners to translate business requirements into scalable analytical solutions. This role is responsible for leading complex analytical initiatives, overseeing data preparation and governance activities, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decision making. The position supports a variety of business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management. The ideal candidate combines advanced analytical expertise, strong business acumen, project leadership skills, and the ability to communicate insights and recommendations to both technical and non-technical audiences. Key Responsibilities: Data Strategy & Analytics: • Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards. • Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy. • Serve as a subject matter expert across multiple business and data domains. • Translate business problems into analytical approaches and actionable recommendations. • Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives. • Develop innovative solutions to address complex business challenges and improve operational performance. • Lead data exploration, proof-of-concept initiatives, and research efforts to evaluate emerging analytical methodologies. Data Management & Governance: • Oversee departmental data sources and ensure consistent application of data standards and governance practices. • Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy. • Develop and maintain documentation including data definitions, business rules, technical specifications, and analytical methodologies. • Identify, assess, and implement new data sources and technologies to improve analytics capabilities. • Partner with Data Governance and Technology teams to support enterprise data initiatives. Reporting & Business Intelligence: • Oversee the development and maintenance of management reporting related to key business and operational metrics. • Design and automate recurring reports, scorecards, and dashboards to improve efficiency and insight delivery. • Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance. • Present analytical findings and business recommendations to leadership and stakeholder groups. Project Leadership: • Lead cross-functional analytical projects from concept through implementation. • Manage project plans, priorities, deliverables, and stakeholder communications. • Drive execution of analytical initiatives supporting strategic business objectives and product enhancements. • Coordinate with technology teams on system enhancements, data requirements, and testing activities. • Support production implementation of analytical models and business solutions. Process Improvement & Innovation: • Automate and optimize existing processes to improve efficiency, scalability, and data quality. • Research and evaluate emerging technologies, analytical techniques, and best practices. • Identify opportunities to increase business value through advanced analytics and process innovation. • Consult with business partners on analytical strategies, decision support, and performance improvement initiatives. Mentorship & Knowledge Sharing: • Provide guidance and technical leadership to junior analysts and team members. • Review analytical work products and provide coaching to ensure quality and consistency. • Develop and deliver training on analytical methods, tools, data interpretation, and business applications. • Foster a culture of continuous learning and analytical excellence. Qualifications: Education: Required: • Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field. • Master's degree or PhD in a quantitative discipline. • Minimum 9 years of analytical experience with a Bachelor's degree, OR • Minimum 7 years of analytical experience with a Master's degree. • Experience leading complex analytical projects and cross-functional initiatives. • Experience working within insurance, financial services, or other highly data-driven environments preferred. • Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing. Technical Skills: Required: • Advanced SQL/SAS SQL proficiency. • Experience with cloud-based data platforms and databases. • Strong proficiency in R. • Advanced Microsoft Excel skills, including: Pivot Tables VLOOKUP/XLOOKUP Charts and data visualization Complex formulas and analysis • Experience creating analytical reports, dashboards, and data models. • Ability to apply statistical, m