WHO WE ARE:

Through a partnership-based approach, Coterie helps insurance professionals unlock untapped revenue in the small commercial space. With an innovative quoting platform that delivers accurate pricing and bindable quotes in less than one minute, Coterie makes small business insurance effortless.
We are on a mission to build and foster a world-class team to bring speed, simplicity, and service to commercial insurance. We value integrity, humility, passion, and intelligence. If you want to push yourself, promote social good, and reshape a $200B+ market, we’re excited to talk to you!

WHAT’S IN IT FOR YOU:

Coterie has excellent benefits for all full-time employees. We offer the following:

• 100% remote
• Health insurance through Aetna (we pay 100% of premiums)
• Dental and vision insurance through Guardian (we pay 100% of premiums)
• Basic life insurance (we pay 100% of premiums)
• Access to flexible spending account (FSA) or health savings account (HSA) (for those using HSA eligible plans)
• 401K plan (up 4% match with immediate vest)
• Flexible PTO and 12 company-paid holidays each year
• Continuing education annual stipend
• Annual salary estimated between 75,000-100,000 based on national data. Candidates who meet all the minimum requirements and possess additional relevant experience, as outlined in the job description, may be considered for a salary above the midpoint of the above range. Salary is based on internal equity; internal salary ranges; market data/ranges; applicant’s skills; prior relevant experience; degrees or certifications, etc.

• As a part of the growing Data and Analytics team at Coterie, you will be aiding in maintaining data-integrity
• Assist the data analysis team with queries and other data infrastructure-related tasks
• Craft insights to identify the “So What” of internal and third-party data and share these insights with stakeholders
• Support Subject Matter Experts in visualization and reporting efforts, including claims, marketing, finance and more
• Conduct insurance-centric analyses related to loss experience, production, and segmentation, using SQL and other tools
• The expectation is that this role will grow quickly within the Data and Analytics team to be able to take on new responsibilitie