Openly is rebuilding insurance from the ground up. We are re-envisioning and enhancing every aspect of the customer experience. Doing this requires a rapidly growing team of exceptional, curious, empathetic people with a wide range of skill sets, spanning technology, data science, product, marketing, sales, service, claims handling, finance, etc.

Now is the perfect time to join the journey. Here’s why

• It’s working. We’re in multiple states and on our way to operating countrywide. We have thousands of agents selling our product and millions of dollars of annual customer premiums.
• We’re well backed & stable. We closed our $40M Series B fundraise. We are supported by some of the top investors globally, including Google’s “Gradient” AI-focused fund, Obvious Ventures (Beyond Meat, etc.), and Advance Venture Partners.
• It’s not too late! Despite this traction and stability, we’re still early enough in the journey that there’s time to make a real difference during Openly’s formative period.

If you’d like to understand more about Openly’s mission, consider checking out this video from a company pitch we gave several years ago at Techstars.

Job Details

We are seeking a Data Analyst to join our Product Analysis & Development team to help us implement data-driven solutions for our insurance products. In this role, you will assist/lead in designing analytical approaches to assess the profitability of our current products and assist in the development of potential new products. You will leverage the latest technologies to automate and enhance our analytical capabilities. This role requires a self-motivated, high-energy individual who can easily function in a fast-paced, performance-driven environment.

Key Responsibilities

• Lead the development and integration of our analytics capabilities across functional groups.
• Design analytical frameworks and capabilities that drive transparency and understanding of insurance products and claims.
• Develop efficient processes that support the integration of the analytical frameworks/capabilities into our day-to-day operations. Outputs include descriptive reporting, anomaly detection, diagnostic tools, modeled estimates, and accuracy monitoring.
• Own a continuous data-driven narrative about our insurance product performance.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, or another quantitative/analytically rigorous discipline.
• Proficient in retrieving, manipulating, and structuring production data using SQL. Experience with PostgreSQL and Standard SQL/BigQuery is a plus.
• Proficient in performing data/statistical analysis in either Python or R.
• Ability to translate complex business problems into analytical frameworks that can be answered with data.
• Willingness to learn and utilize actuarial reserving/claims development techniques. Actuarial experience/background is a plus.
• Comfortable in a fast-paced, white-space, results-driven environment

Benefits & Perks

• Competitive salary, corporate bonus program, equity position in a start-up company
• Company-sponsored medical, dental, vision insurance plans, short-term and long-term disability, life insurance, 401k with corporate contribution, and FSA plan
• Company-paid 12 weeks parental leave policy
• The company fully embraces the “work-from-anywhere” mentality, even before COVID restrictions.
• Paid Time Off
• Fun, fast-paced, startup environment

U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer will be considered.

Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities under applicable law.