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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst II - Remote Work - **Company:** TRENT HOEK OUTDOORS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $100,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Analysis, Business Software, Databases, Data Cleansing, Data Governance, Data Mining, Data Presentation, Data Systems, Data Visualization, Decision Support Systems, Excel Formulas, Python (Programming Language), Lookup Table, Machine Learning, Pivot Tables, Power BI, SAS (Software), Tableau (Software), Cloud Platform System, Sql Optimization, Information Technology, Data Analytics, Tools for Reporting - **Published:** November 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/py059okb67 ## About the Role The ideal candidate combines advanced analytical expertise, business knowledge, project leadership capabilities, and the ability to communicate findings and recommendations to technical and non-technical audiences., * 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. * At least 9 years of analytical experience with a bachelor's degree, or at least 7 years with a master's degree. * Experience leading complex analytical projects and cross-functional initiatives. * 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, data visualization, 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. Preferred Qualifications * Experience working in insurance, financial services, or other highly data-driven environments. * Strong background supporting business functions such as Claims, Underwriting, Marketing, Product Management, or Pricing. * Python programming experience. * Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms. * Experience with machine learning and predictive analytics. * Familiarity with data governance and data quality frameworks. Business Knowledge & Competencies * 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. * Ability to translate data insights into business recommendations. * Strategic thinking and analytical problem-solving skills. * Project leadership and stakeholder management capabilities. * Data storytelling and strong communication skills. * Innovation, continuous improvement, and collaboration. * Attention to detail and the ability to mentor and develop team members. Additional Requirements * 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, including seeing, hearing, speaking, and using computer systems. ## Description GEICO is seeking a Senior Principal Data Analyst to develop and maintain advanced data solutions, reporting frameworks, dashboards, and visualizations that support business insights and strategic decision-making. Working with business stakeholders, data engineers, architects, governance teams, and technology partners, you will translate business requirements into scalable analytical solutions. This role involves 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 decisions. The position supports several business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management., * Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards. * Manage complex data extraction, transformation, and validation processes to maintain 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 solutions to address complex business challenges and improve operational performance. * Lead data exploration, proof-of-concept initiatives, and research into emerging analytical methodologies. * 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 covering data definitions, business rules, technical specifications, and analytical methodologies. * Identify, assess, and implement new data sources and technologies to strengthen analytics capabilities. * Partner with Data Governance and Technology teams on enterprise data initiatives. * Oversee the development and maintenance of management reporting for key business and operational metrics. * Design and automate recurring reports, scorecards, and dashboards. * Analyze trends involving loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance. * Present analytical findings and business recommendations to leadership and stakeholder groups. * Lead cross-functional analytical projects from initial concept through implementation. * Manage project plans, priorities, deliverables, and stakeholder communications. * Drive 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. * 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 create business value through advanced analytics and process innovation. * Advise business partners on analytical strategies, decision support, and performance improvement initiatives. * Provide technical guidance and leadership to junior analysts and team members. * Review analytical work and provide coaching to maintain quality and consistency. * Develop and deliver training on analytical methods, tools, data interpretation, and business applications. * Promote continuous learning and analytical excellence across the team.