Data Analyst

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. Position Summary: Are you ready to make an impact in the healthcare and insurance industries with a role that combines analytical expertise, collaboration, and innovative problem-solving? At ParetoHealth, we’re reimagining how businesses approach employee benefits, and we’re looking for an Underwriting Data Analyst to join our growing team This hybrid role offers the opportunity to drive key decision-making processes in stop-loss underwriting while contributing to a growing, dynamic organization. Key Responsibilities: Data Analysis & Reporting Collect, organize, and analyze large datasets related to stop-loss insurance, including claims, premium payments, and policy details. Use advanced tools like Excel, SQL, and Tableau to identify trends, risks, and areas for operational improvement. Create reports and data visualizations that guide underwriting decisions and pricing strategies. Track performance metrics for stop-loss policies and recommend improvements based on data-driven insights. Underwriting & Carrier Collaboration Partner with underwriting and carrier teams to provide actionable insights for evaluating stop-loss applications. Support the development of pricing models and contribute to risk assessments through data analysis. Conduct experience-rated and prospect-rated analyses to inform pricing recommendations. Trend Identification & Efficiency Improvements Identify trends, anomalies, and risk factors from claims and underwriting data. Provide strategic insights to refine pricing and risk assessment approaches. Analyze operational workflows and recommend process improvements for increased efficiency in underwriting operations. Communication & Team Collaboration Work closely with underwriting, carrier partners, actuarial, and claims teams to validate data and deliver meaningful insights. Present findings and recommendations to stakeholders, including underwriters and senior management. Contribute to the development of new tools and processes to enhance the underwriting process. Required Skills & Qualifications: 2-5 years of experience in data analysis or an underwriting support role, with a focus on stop-loss health claims and in the employee benefits space. Proficiency in Tableau, SQL, and Excel for data analysis and visualization. Strong understanding of stop-loss underwriting principles and the self-funded health insurance industry is a plus. Bachelor’s degree in mathematics, Statistics, Economics, Finance, Data Science, or a related field (advanced degrees are a plus). Exceptional analytical and problem-solving skills, with a keen eye for detail. Strong organizational skills with the ability to manage multiple projects simultaneously.

ParetoHealth 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.