Job Opportunities API

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 Deliver Decision-Ready Insights 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 curiosit