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 mid-level data analyst on the Claims Payments team, you’ll help lead efforts to modernize existing recurring reporting. In this role, you’ll migrate reporting from Excel to PowerBI and Tableau, and you’ll also prepare reports for leadership and business partners. Additionally, you’ll be responsible for claims payment analysis and ad hoc project work.

This is a remote position.

Must-have Qualifications

• Bachelor's degree or higher in a quantitative field of study and a minimum of one year analytical work experience
• Instead of a quantitative degree, a bachelor's degree or higher and a minimum of three years of analytical work experience
• Instead of a degree, a minimum of four years of analytical work experience

Preferred Skills

• Proficiency in SQL/SAS
• Advanced analytical, statistical, and technical methods to solve complex business problems.
• Familiarity with navigating through large data sets, connecting data from multiple sources, data extraction, and database querying.
• Demonstrated ability to lead and prioritize projects, provide recommendations, collaborate with, and influence various levels of peers and leaders.
• Ability to effectively communicate both verbally and in writing with various levels and roles, including senior leadership.