Senior Data Analyst
ParetoHealth is hiring a remote Senior Data Analyst to work with large, messy US healthcare datasets (medical and pharmacy claims), building SQL queries, analytical datasets, and Tableau visualizations that turn complex analyses into decision-ready insights for underwriting, product, and operations teams. Requires strong SQL, Python, and Tableau skills.
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 5-8+ years' experience in a healthcare-based analytics role, preferably in health benefits/insurance
- Solid understanding of the US-based health insurance system
- Extensive hands-on experience with administrative healthcare data (medical and pharmacy claims)
- Strong mathematical and statistical foundations (quantitative reasoning, distributions, rates, variability)
- Strong SQL skills, including building, optimizing, and validating complex analytical queries
- Advanced proficiency in data visualization tools such as Tableau
- Significant experience with programming languages such as Python for analysis and data wrangling
- Significant experience in data cleaning, validation, and exploratory analysis on large, complex datasets
- Understanding of descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
- Strong analytic judgment: knowing which method to use, why, and when
- Bachelor's degree in a quantitative/analytic field
- Authorized to work in the United States without sponsorship, now or in the future
Nice to have
- Master's degree (or equivalent work experience)
- Deep knowledge of Python (advanced modeling not required)
- Experience analyzing Salesforce data, healthcare vendor-reported utilization/savings data, and/or stop loss insurance data
- Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
- Familiarity with AWS Serverless services and data tools (S3, Lambda, Glue, Sagemaker, EMR)
Full description
About ParetoHealth
ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model.
Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs.
By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people.
Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another.
If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you.
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 a senior, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.
As a Senior Data Analyst, you will partner closely with other Analysts, Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance of solutions. You will contribute to and sometimes lead 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.