Full-Time

Underwriting Data Analyst

Confirmed live in the last 24 hours

ParetoHealth

ParetoHealth

51-200 employees

Self-insured employee health benefits solutions

Data & Analytics
Consulting
Healthcare

Mid, Senior

No H1B Sponsorship

Philadelphia, PA, USA

This is a hybrid role.

Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Data Science
SQL
Tableau
Data Analysis
Excel/Numbers/Sheets
Requirements
  • 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.
Responsibilities
  • 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
  • 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
  • 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
  • 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.

ParetoHealth offers employee health benefits solutions for small and medium-sized businesses through a self-insured model, allowing companies to set aside funds for health claims instead of paying insurance premiums. Their main product is a "benefits captive" program, where multiple companies share the risk of health claims, helping to manage costs and provide comprehensive benefits. Unlike competitors, ParetoHealth uses data-driven intelligence to monitor and control claims costs, ensuring employees receive quality care at competitive prices. The company's goal is to deliver a complete solution for health benefits while promoting diversity, equity, and inclusion in the workplace.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$522.1K

Headquarters

Philadelphia, Pennsylvania

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • Warburg Pincus's investment indicates strong market confidence in ParetoHealth's growth potential.
  • Reaching 2,000 employers in their captive program shows successful market penetration.
  • New leadership roles focus on enhancing customer experience and expanding market reach.

What critics are saying

  • Increased competition from new entrants may erode ParetoHealth's market share.
  • Economic downturns could reduce SME spending on employee benefits, impacting revenue.
  • Regulatory changes could increase compliance costs for self-insured health plans.

What makes ParetoHealth unique

  • ParetoHealth offers a unique self-insured model for SMEs to control health costs.
  • Their benefits captive program pools resources to mitigate large health claim risks.
  • Data-driven intelligence is used to manage and control employee health claims costs.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Disability Insurance

401(k) Company Match

401(k) Retirement Plan