Underwriting Analytics Lead
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Responsibilities
- Analytics & Insights
- Conduct deep-dive, diagnostic analyses to understand trends, performance drivers, and anomalies in underwriting and portfolio performance
- Translate ambiguous business questions into structured analytical approaches and clear conclusions
- Develop hypotheses, test them with data, and clearly communicate "why" behind outcomes
- Support strategic initiatives (e.g., QBRs, leadership presentations) with high-quality analysis and storytelling
- Dashboard & Reporting Ownership
- Own the development, maintenance, and evolution of underwriting dashboards and reporting tools
- Ensure accuracy, consistency, and usability of core reporting assets
- Proactively identify gaps in reporting and define a forward-looking dashboard strategy (what should exist, who needs access, etc.)
- Partner with stakeholders to ensure reporting meets business needs and drives decision-making
- Business Partnership
- Develop a strong understanding of underwriting, pricing, and insurance dynamics (especially medical stop loss)
- Frame analyses in the context of business problems and decisions-not just data outputs
- Provide clear, actionable recommendations that influence underwriting and strategic direction
- Collaborate closely with cross-functional stakeholders to refine questions and align on solutions
- Required Skills & Qualifications:
- Bachelor's degree in Data Analytics, Business, Economics, Mathematics, or a related field
- 5-7+ years of experience in analytics, data, or a related role (experience in insurance, healthcare, or financial services preferred)
- Strong SQL skills and ability to independently extract and manipulate raw data
- Advanced proficiency in Excel and Tableau (or similar BI tools)
- Strong analytical and problem-solving skills with a structured, hypothesis-driven approach
- Experience working with imperfect or messy datasets (e.g., missing values, inconsistent coding)
- Excellent communication skills, with the ability to translate complex analysis into clear insights
Requirements
- Experience in healthcare, insurance, or medical stop loss
- Exposure to actuarial concepts or pricing/underwriting processes
- Experience using Python for data analysis or transformation
- Experience building dashboards or reporting tools used by business stakeholders
Benefits
Additional Information
We're in this for the greater good at ParetoHealth. Our mission is collective greatness, nothing less will do. Our team is a single force united in the drive to transform employee health benefits. The company was founded in 2011 to help small and medium-sized businesses fight the rising cost of employee health benefits. We blazed the trail with financing innovations that reduce the risks in self-insurance and deliver significant savings-and we continue to lead with a growing ecosystem of partners and world-class cost control solutions. But success is measured by more than dollars alone and we measure ours by the good that comes from knowing that every client and all their employees can count on effective, affordable healthcare for years to come. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: ParetoHealth is seeking a highly analytical and business-oriented Underwriting Analytics Lead to support underwriting, pricing, and strategic decision-making. This role is responsible for transforming raw, imperfect data into actionable insights and owning the underwriting reporting ecosystem. In this role, you will operate at the intersection of data, underwriting, and strategy-balancing structured recurring work with ambiguous, high-impact analytical problem solving. You will partner cross-functionally with Underwriting, Finance, and Leadership to deliver insights that directly influence business outcomes. This role is ideal for someone who thrives in a fast-paced, evolving environment, is comfortable working with imperfect data, and can move quickly from question to insight.
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