Openly
Staff Analyst - Insurance Product & Countrywide Advanced Analytics (Remote, US)
Remote - United States · Staff+
Sponsorship not specifiedDetected 1 day ago
PythonRESTData VisualizationAPI TestingResearchLeadershipCommunicationCollaborationProblem SolvingTime ManagementActuarial ScienceUnderwriting
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- [https://openly.com/hs-fs/hubfs/2026BPTW_GeneralBadge_FullColor.png?width=400&height=458&name=2026BPTW_GeneralBadge_FullColor.png] READY FOR YOUR NEXT CHAPTER?
- Openly has redefined the insurance experience-replacing decades of complexity with clarity.
- We bring together dedicated problem-solvers who are excited to challenge the status quo and do meaningful work.
Responsibilities
- Closely work and collaborate with the Insurance Product team to align on analytical requirements and measures of success for both new and ongoing initiatives.
- Partner closely with the other analytics function teams-including Sales & Marketing, Claims, and Service-as the advanced-analytics resource on the more complex, specialized projects that arise within their functions.
- Build out comprehensive monitoring frameworks that provide insights around current results and trends. Leverage these findings to provide recommendations on both product and strategy that will have positive impacts on growth, retention, and profitability.
- We're the insurance provider for people who expect more and the partner independent agents have been waiting for.
- Building a better future for personal lines insurance requires diverse expertise and thoughtful execution.
- Technology That Delivers:
- We leverage cutting-edge data to modernize underwriting and deliver tailored insurance solutions.
- We've designed our hiring process to be transparent, respectful, and human.
Requirements
- A minimum of 10 years of experience & background in insurance products, preferably personal lines property and/or auto insurance products.
- Demonstrated track record of identifying structural process gaps, proposing solutions and influencing business decisions.
- Applicants must be currently authorized to work in the United States on a full‑time basis.
Nice to have
- CPCU or equivalent insurance designation and/or passing of actuarial exams preferred but not required.
Compensation
- Professional Development: $2,000 annually to invest in courses, conferences, or resources that help you grow.
Benefits
- Competitive Pay & Equity: Top-tier base salary plus ownership in Openly's growth.
- Comprehensive Health Coverage: Medical, dental, and vision plans tailored to you and your family.
- Life & Disability Insurance: Full coverage including voluntary supplemental options.
- Parental Leave: Up to 8 weeks (320 hours) of paid parental leave for eligible employees (with additional disability coverage available for birthing parents).
- "Be Well" Program: A $50/month stipend dedicated to your personal health and well-being.
- Volunteer Hours & Referral Rewards: Paid time off to give back to your community, plus generous financial rewards for referring great talent.
- Eligibility for all compensation and benefits is governed by applicable plan terms.
- From comprehensive health coverage to remote-work flexibility, our benefits are designed to care for you and your family at every stage of life.
- Remote-First Culture: We supported remote work long before it became standard, and we remain dedicated to a flexible, distributed team.
- Home Office Setup: A $1,500 upfront allowance to build your ideal remote workspace, plus a $75/month internet stipend.
Company info
- Collaboration, communication, and work-life balance aren't just nice-to-haves-they are core to who we are.
- We strive to provide an exceptional applicant and candidate journey when you engage with us.
Visa & Work Authorization
- Applicants must be currently authorized to work in the United States on a full‑time basis.
This listing is sourced directly from Openly's careers page and normalized into a canonical job model.