Reality check: Most people don’t grow up dreaming about a job in insurance. We certainly didn’t, but then we got here and realized Progressive is different—in a good way. We strive to create a fun and flexible work environment for everyone where employees are encouraged to risk, learn, and grow. With our progressive culture, work-life balance, and one of the largest contemporary art collections in the country, there’s a reason we’ve been named one of the best places to work.

For more than 80 years, Progressive has offered a wide range of insurance choices to customers, including Auto, Home, Renters, Commercial Auto, Small Business, Motorcycle, Boat policies, and more. Progressive is the third largest auto insurer in the country—a combined effort of every single Progressive person. We’re a diverse group of more than 50,000 talented employees—from all walks of life, all fields of business, and all 50 states. With hundreds of career paths including Claims, Customer Care, Sales, Marketing, Legal, IT, Data Analysis and with Level20, our new business incubator, there may be an opportunity for you. Everyone here plays a role in our success as we continue to find new and better ways to move the insurance industry forward and be there for our customers during every stage of their lives.

As a data analyst senior or lead in the National Physical Damage Organization (Photo Estimate, Inbound Subrogation, Salvage, and Fixed Property) you’ll support and drive staffing and efficiency. In this role, you’ll work closely with leaders and business partners across the Claims organization to develop and maintain staffing forecasts, models, and analysis. Additionally, you’ll present your research and recommendations to peers and Claims leaders.

Remote work allowed.

Must-have Qualifications

• Bachelor's degree or higher in a quantitative field of study and a minimum of three year of analytical work experience.
• In lieu of a quantitative degree, a bachelor's degree or higher and a minimum of five years of analytical work experience.
• In lieu of a degree, a minimum of six years of analytical work experience.

Preferred Skills

• Intermediate to advanced programming skills in SAS, SQL, R, and/or Python
• Ability to apply advanced analytical skills and statistical techniques to solve complex problems
• Ability to present and explain complex analytical concepts to a non-technical audience
• Ability to learn quickly and work in an adaptive, team-oriented environment