Full-Time

Underwriting Data Analyst

Medical Stoploss

Confirmed live in the last 24 hours

ParetoHealth

ParetoHealth

51-200 employees

Self-insured employee health benefits solutions

Consulting
Healthcare

Junior, Mid

Philadelphia, PA, USA

Hybrid role requiring in-office presence 2-3 days a week.

Category
Data Analysis
Healthcare Administration & Support
Medical, Clinical & Veterinary
Data & Analytics
Required Skills
Data Science
SQL
Tableau
Data Analysis
Requirements
  • 2-5 years of experience as a Data Analyst or underwriting support role, in the stoploss health insurance industry.
  • Experience with Tableau for data visualization and SQL, and Excel for data analysis.
  • Experience with stop loss insurance underwriting, self-funded health insurance industry.
  • An understanding of underwriting principles and insurance data analysis.
  • Bachelor’s degree, preferably in Mathematics, Statistics, Economics, Finance, Data Science, or a related field. Advanced degrees are a plus.
  • Strong analytical and problem-solving skills.
  • Excellent attention to detail and ability to manage multiple projects simultaneously.
  • Effective communication skills, both verbal and written.
  • Proven ability to work collaboratively within a team and across departments.
Responsibilities
  • Collect, organize, and analyze large datasets related to stop loss insurance, including claims, premium payments, and policy information.
  • Use statistical and analytical tools (Excel, SQL) to assess trends, risks, and operational efficiencies.
  • Prepare detailed reports, dashboards, and data visualizations to assist the underwriting team in decision-making and pricing strategies.
  • Monitor and track performance metrics related to stop loss policies, identifying key areas for improvement.
  • Collaborate with underwriters and carrier partners to provide data-driven insights for evaluating stop loss applications.
  • Assist in developing pricing models and support risk assessments through data analysis.
  • Perform experience-rated and prospect-rated stop loss underwriting data analysis to help develop pricing recommendations.
  • Identify trends, anomalies, and key risk factors from historical claims and underwriting data.
  • Provide actionable insights on risk assessment and pricing strategies.
  • Analyze operational processes and workflows to identify areas for increased efficiency and effectiveness within the underwriting process.
  • Work closely with underwriting, carrier partners, risk, actuarial, and claims teams to gather and validate data.
  • Present findings, recommendations, and insights to underwriting, carrier partners, and management teams.
  • Assist in the development of tools and processes to streamline data analysis and improve underwriting outcomes.

ParetoHealth offers employee health benefits solutions for small and medium-sized businesses through a self-insured model, allowing companies to directly cover their employees' health claims. Their main product is the "benefits captive" program, where multiple companies share the financial risks of health claims, helping to manage costs effectively. Unlike traditional insurance, ParetoHealth uses data-driven intelligence to monitor health plan usage and control claims costs, ensuring employees receive quality care at competitive prices. The company's goal is to provide a comprehensive health benefits solution while fostering a culture of diversity, equity, and inclusion.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$522.1K

Headquarters

Philadelphia, Pennsylvania

Founded

2011

Growth & Insights
Headcount

6 month growth

2%

1 year growth

2%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Significant investment from Warburg Pincus and Great Hill Partners positions ParetoHealth for accelerated growth and market expansion.
  • The appointment of experienced leaders like Christine Lui Chen and Maeve O'Meara indicates strong leadership and strategic direction.
  • Achieving a milestone of 2,000 employers in their captive program demonstrates robust market acceptance and scalability.

What critics are saying

  • The complexity of managing a self-insured model and benefits captive program may pose operational challenges and require continuous innovation.
  • Dependence on the success of their data-driven intelligence system to manage claims costs could be a vulnerability if the system fails or underperforms.

What makes ParetoHealth unique

  • ParetoHealth's self-insured model and benefits captive program offer SMEs a unique way to manage and mitigate health benefit costs, unlike traditional insurance models.
  • Their data-driven intelligence system proactively manages claims costs, ensuring high-quality care at the best possible price, setting them apart from competitors.
  • ParetoHealth's commitment to DEI fosters a diverse and inclusive workforce, driving innovation and excellence in their services.

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