Senior Principal Data Analyst

🕒 October 26

🏈 Ohio, Maryland – Remote

🏈 Ohio – Remote 🦀 Maryland – Remote

💵 $100k - $300k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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GEICO

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1936

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

GEICO is a well-known American auto insurance company, providing coverage to a wide range of customers. As a leading provider of car insurance, GEICO is known for its innovative marketing and customer-centric services, delivering affordable insurance options. The company utilizes a user-friendly website for managing policies and claims, applying necessary online privacy measures to protect personal data and improve user experience. While primarily focused on auto insurance, GEICO also offers other types of insurance, including homeowner and renter policies.

📋 Description

• Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards • Manage complex data extraction, transformation, and validation processes • 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 • Develop solutions to address complex business challenges and improve operational performance • Lead data exploration, proof-of-concept initiatives, and research efforts • Oversee departmental data sources and data governance practices • Validate, reconcile, and monitor data sources for completeness and accuracy • Develop and maintain data definitions, business rules, technical specifications, and analytical methodologies • Identify and implement new data sources and technologies • Partner with Data Governance and Technology teams on enterprise data initiatives • Oversee management reporting for key business and operational metrics • Design and automate recurring reports, scorecards, and dashboards • Analyze trends in loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance • Present analytical findings and recommendations to leadership and stakeholders • Lead cross-functional analytical projects from concept through implementation • Manage project plans, priorities, deliverables, and stakeholder communications • Coordinate with technology teams on system enhancements, data requirements, and testing • Support production implementation of analytical models and business solutions • Automate and optimize processes to improve efficiency, scalability, and data quality • Research emerging technologies, analytical techniques, and best practices • Consult with business partners on analytical strategies and performance improvement • Provide guidance and technical leadership to junior analysts • Review analytical work products and provide coaching • Develop and deliver training on analytical methods, tools, data interpretation, and business applications • Foster continuous learning and analytical excellence

🎯 Requirements

• 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 Claims, Underwriting, Marketing, Product Management, or Pricing • 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, and complex formulas and analysis • Experience creating analytical reports, dashboards, and data models • Ability to apply statistical, mathematical, and data mining techniques to solve business problems • Python programming experience preferred • Experience with business intelligence and visualization tools (Power BI, Tableau, or similar) preferred • Experience with machine learning and predictive analytics preferred • Familiarity with data governance and data quality frameworks preferred • Understanding of insurance products, rating methodologies, and insurance principles • Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions • Experience with project management, process improvement, and operational analytics • Strong ability to translate data insights into business recommendations • Ability to work independently and collaboratively in a team environment • Ability to manage multiple priorities and competing deadlines • Ability to learn and apply complex technical, business, and operational concepts • Strong written and verbal communication skills • Ability to perform essential job functions with or without reasonable accommodation

🏖️ Benefits

• Personalized development programs • Mentorship • Certification assistance • Competitive pay • Benefits • Flexibility to support your well-being and future • Reasonable accommodations for qualified individuals with disabilities

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