OpenlyUnited StatesStaff Analyst
Senior analytics role measuring success of countrywide insurance product programs, building monitoring frameworks, predictive models, and dashboards. Requires 10+ years in insurance analytics, expert SQL, Python/R modeling, and stakeholder influence; expected to grow into people management.
$121k – $202k/yr
Remote10+ YOEData Analytics
About the job
Key Responsibilities
- Serve as a connective bridge with the Insurance Product org, linking technical analysis details to broader operational and financial analytics for business and financial context.
- Collaborate closely with the Insurance Product team to align on analytical requirements and measures of success for new and ongoing initiatives.
- Partner with other analytics teams (Sales & Marketing, Claims, Service) as the advanced-analytics resource on complex, specialized projects.
- Build comprehensive monitoring frameworks for insights on results and trends; provide recommendations on product and strategy to impact growth, retention, and profitability.
- Independently analyze current countrywide programs to quantify success and identify opportunities for enhancements in growth and profitability.
- Architect end-to-end analytical frameworks for complex business issues, including development and refinement of predictive models.
- Proactively identify systemic process and data gaps across the insurance lifecycle, mapping ripple effects and trade-offs of solutions.
- Propose new ideas for analysis and leverage insights to align with or identify opportunities in current and future strategies.
- Conduct competitor research using various tools to monitor industry results and trends.
- Serve as a technical leader across the analytics team, providing guidance, raising the analytical floor through collaboration, and using influencing and storytelling skills to shape business decisions.
Requirements
- Minimum of 10 years of experience in insurance products, preferably personal lines property and/or auto insurance.
- Advanced analytical thinking and comfort evaluating success of countrywide insurance product programs against targets.
- Expert-level mastery of SQL.
- Experience building and refining predictive models in Python or R.
- Track record of identifying structural process gaps, proposing solutions, and influencing business decisions.
- Experience gathering requirements and building dashboards using PowerBI, Tableau, or LookerStudio.
- Able to conduct cost-benefit analyses to inform strategic decisions.
- Strong organizational and time management skills with high autonomy on complex initiatives.
- Exceptional interpersonal skills to build rapport and collaborate with stakeholders at all levels.
- CPCU or equivalent insurance designation and/or passing of actuarial exams preferred.
Nice-to-Haves
- CPCU or equivalent insurance designation.
- Passing of actuarial exams.
Skills
SQLPythonRPowerbiTableauLookerstudioPredictive Modeling
