Remote Senior Principal Data Analyst

GEICO company; Bethesda, Beachwood (MD, OH); Hybrid; USD 100,000 - 300,000; Full time

Job summary

GEICO is seeking a Senior Principal Data Analyst to design, implement, and optimize data models, dashboards, and analytical solutions across Insurance, Underwriting, Claims, Marketing, and Product Management. You will partner with data engineers, governance teams, and business stakeholders to translate requirements into scalable insights.

The role emphasizes advanced analytics, data governance, and leadership, with opportunities to mentor teams and influence strategic decisions.

Qualifications

• Bachelor's degree or higher in a quantitative field is required; advanced degrees preferred.
• Experience leading complex analytics projects in data-driven environments, preferably insurance/financial services.
• Strong skills in SQL, data modeling, reporting, and governance.

Responsibilities

• Lead design, development, and maintenance of data models, reports, and dashboards.
• Oversee data extraction, transformation, and validation to ensure accuracy.
• Translate business problems into analytic approaches and actionable recommendations.
• Present findings to leadership and stakeholders with clear data storytelling.
• Drive data governance, quality, and documentation across domains.
• Mentor junior analysts and lead cross-functional analytics projects.

Skills

SQL/SAS SQL

R

Advanced Excel

Data mining

Forecasting

Statistics

Big data platforms

Cloud platforms

Data visualization

Machine learning

Communication

Project leadership

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research

Master's degree or PhD in a quantitative discipline

Tools

Power BI

Tableau

Python

SAS

Job description

GEICO is seeking a Senior Principal Data Analyst to design, implement, and optimize data models, dashboards, and analytical solutions across Insurance, Underwriting, Claims, Marketing, and Product Management. You will partner with data engineers, governance teams, and business stakeholders to translate requirements into scalable insights.

The role emphasizes advanced analytics, data governance, and leadership, with opportunities to mentor teams and influence strategic decisions.