Data Analyst

ParetoHealth; Philadelphia (Philadelphia County); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible PTO

Hybrid work environment

Job summary

ParetoHealth in Philadelphia, PA, is seeking an experienced Data Analyst who thrives between data science and BI analytics. You will partner with Data Scientists and cross-functional stakeholders to operationalize analytical solutions and foster enterprise-wide use.

The role emphasizes analytical rigor, efficiency, and standardization, turning complex healthcare data into actionable decisions. Reporting to the VP of Analytics, you will contribute to end-to-end analyses and measurable business

Qualifications

• A problem-solver with analytic rigor and curiosity about healthcare data
• A collaborator with cross-functional partners to create and deliver insights
• A strong communicator who can share information across audiences
• A self-starter who owns projects from idea to execution
• A critical thinker who applies business judgment to analyses
• A translator who turns complex analysis into actionable insights

Responsibilities

• Support End-to-End Analyses with Lead Analysts/Data Scientists and stakeholders
• Design, test, and refine methodologies for complex analytical questions
• Work directly with large healthcare datasets, including medical and pharmacy claims
• Build and maintain robust SQL queries and analytical datasets
• Develop clear visualizations and summaries for technical and non-technical audiences
• Document methodologies, assumptions, and limitations for transparency and repeatability
• Collaborate with analytics teammates to align definitions and data quality standards
• Drive business impact by supporting opportunities across underwriting, product, and cost containment

Skills

Problem solving

Collaboration

Communication

Self-motivation

Critical thinking

Data storytelling

Tools

SQL

Tableau

Python

Salesforce

Job description

Philadelphia, Pennsylvania, United States

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.

About The Team

At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.

Position Summary

This role is designed for an experienced, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance of solutions. You will contribute to analyses end-to-end, with a focus on long-term sustainability and enterprise-wide utilization of solutions.

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities. Success in this role comes from analytic rigor, a deep interest in efficiency and standardization, and the ability to turn complex data into decisions. You will report to the VP of Analytics.

Key Responsibilities

• Support End-to-End Analyses
  • Partner with Lead Analysts/Data Scientists to understand business priorities and translate them into analytical approaches
  • Design, test, and refine appropriate methodologies for complex analytical questions with an eye toward long term sustainability
  • Work directly with large, messy healthcare datasets, including medical and pharmacy claims
  • Build and maintain robust SQL queries and analytical datasets
• Develop and support clear visualizations and summaries that communicate findings to technical and non-technical audiences
• Translate complex analyses into actionable recommendations in partnership with Analytics teammates
• Document methodologies, assumptions, and limitations to ensure transparency and repeatability
• Collaborate Within the Team
  • Work closely with Data Scientists and Lead Analysts to support exploratory analyses, hypothesis generation, and interpretation of results
  • Partner with Analytics teammates to align definitions, methodologies, and data quality standards
  • Contribute through collaboration and shared problem-solving
• Drive Business Impact
  • Support stakeholder-identified opportunities where analytics can improve business outcomes
  • Support teams across the organization, including underwriting, product, account management, and cost containment

Required Skills & Qualifications

• A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
• A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
• A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
• A self-starter with a demonstrated track record of owning projects from idea to execution
• A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
• A translator who can turn complex analysis into actionable insights and recommendations for the business

Core Qualifications

• 3-5+ years’ experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry, with a solid understanding of the US based health insurance system.
• Hands-on experience working with administrative healthcare data (medical and pharmacy claims)
• Strong mathematical and statistical foundations, including familiarity with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
• Strong SQL skills, including building, optimizing, and validating complex analytical queries
• Proficiency in data visualization tools such as Tableau
• Experience using Python for analysis and data wrangling
• Experience in data cleaning, validation, and exploratory analysis using large, complex datasets
• Understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
• Strong analytic judgment: knowing which method to use, why, and when

Bonus Qualifications

• Deep knowledge of Python (advanced modeling not required)
• Experience working with data from CRM systems, e.g., Salesforce
• Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
• Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR
• Fully paid medical, dental, and vision benefits.
• Flexible PTO
• 401k company contribution
• Professional development allowance
• Transportation allowance and daily parking reimbursement
• Engaging hybrid work environment

ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.