Senior Principal Data Analyst

This is a fully remote position, open to applicants in Ohio, +1 more state.

📋 Description

• Oversee the design, development, and upkeep of data models, analytical solutions, reports, and dashboards.

• Manage intricate data extraction, transformation, and validation processes.

• Act as a subject matter expert across various business and data domains.

• Convert business challenges into analytical strategies and actionable insights.

• Conduct advanced statistical analyses, data mining, forecasting, and research.

• Create solutions to tackle complex business issues and enhance operational performance.

• Spearhead data exploration, proof-of-concept projects, and research initiatives.

• Supervise departmental data sources and enforce data governance practices.

• Validate, reconcile, and oversee data sources for accuracy and completeness.

• Develop and sustain data definitions, business rules, technical specifications, and analytical methodologies.

• Identify and integrate new data sources and technologies.

• Collaborate with Data Governance and Technology teams on enterprise data projects.

• Manage reporting for essential 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 insights and recommendations to leadership and stakeholders.

• Lead cross-functional analytical projects from inception to execution.

• Manage project plans, priorities, deliverables, and communications with stakeholders.

• Coordinate with technology teams regarding system enhancements, data requirements, and testing processes.

• Support the implementation of analytical models and business solutions in production.

• Automate and refine processes to boost efficiency, scalability, and data quality.

• Investigate emerging technologies, analytical techniques, and industry best practices.

• Consult with business partners on analytical strategies and performance enhancements.

• Provide mentorship and technical guidance to junior analysts.

• Review analytical outputs and offer coaching.

• Develop and deliver training on analytical methodologies, tools, data interpretation, and business applications.

• Promote 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.

• At least 9 years of analytical experience with a Bachelor's degree, or a minimum of 7 years with a Master's degree.

• Proven experience in leading complex analytical projects and cross-functional initiatives.

• Background in insurance, financial services, or other data-intensive environments is preferred.

• Strong experience supporting Claims, Underwriting, Marketing, Product Management, or Pricing.

• Advanced proficiency in SQL/SAS SQL.

• Familiarity with cloud-based data platforms and databases.

• Significant proficiency in R.

• Advanced skills in Microsoft Excel, including Pivot Tables, VLOOKUP/XLOOKUP, charts, data visualization, as well as complex formulas and analyses.

• Experience in creating analytical reports, dashboards, and data models.

• Capability to apply statistical, mathematical, and data mining techniques to resolve business challenges.

• Python programming experience is preferred.

• Familiarity with business intelligence and visualization tools (Power BI, Tableau, or similar) is desirable.

• Experience with machine learning and predictive analytics is preferred.

• Understanding of data governance and data quality frameworks is preferred.

• Knowledge of insurance products, rating methodologies, and principles is essential.

• Familiarity with Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.

• Experience in project management, process improvement, and operational analytics.

• Strong ability to translate data insights into actionable business recommendations.

• Ability to work independently and collaboratively within a team setting.

• Capacity to manage multiple priorities and meet competing deadlines.

• Ability to grasp and apply complex technical, business, and operational concepts.

• Excellent written and verbal communication skills.

• Ability to perform essential job functions with or without reasonable accommodations.

🏝️ Benefits

• Tailored development programs.

• Mentorship opportunities.

• Assistance with certifications.

• Competitive compensation.

• Comprehensive benefits.

• Flexibility to support your well-being and future endeavors.

• Reasonable accommodations for qualified individuals with disabilities.