Data Analyst

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 TeamAt 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 AnalysesPartner with Lead Analysts/Data Scientists to understand business priorities and translate them into analytical approachesDesign, test, and refine appropriate methodologies for complex analytical questions with an eye toward long term sustainabilityWork directly with large, messy healthcare datasets, including medical and pharmacy claimsBuild and maintain robust SQL queries and analytical datasetsDeliver Decision-Ready InsightsDevelop and support clear visualizations and summaries that communicate findings to technical and non-technical audiencesTranslate complex analyses into actionable recommendations in partnership with Analytics teammatesDocument methodologies, assumptions, and limitations to ensure transparency and repeatabilityCollaborate Within the TeamWork closely with Data Scientists and Lead Analysts to support exploratory analyses, hypothesis generation, and interpretation of resultsPartner with Analytics teammates to align definitions, methodologies, and data quality standardsContribute through collaboration and shared problem-solvingDrive Business ImpactSupport stakeholder-identified opportunities where analytics can improve business outcomesSupport teams across the organization, including underwriting, product, account management, and cost containmentRequired Skills & Qualifications:A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare dataA collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insightsA strong communicator who effectively shares information at the appropriate level across a wide variety of audiencesA self-starter with a demonstrated track record of owning projects from idea to executionA critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgementA translator who can turn complex analysis into actionable insights and recommendations for the businessCore 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 dataStrong SQL skills, including building, optimizing, and validating complex analytical queriesProficiency in data visualization tools such as TableauExperience using Python for analysis and data wranglingExperience in data cleaning, validation, and exploratory analysis using large, complex datasetsUnderstanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinkingStrong analytic judgment: knowing which method to use, why, and whenBachelor’s degree in a quantitative/analytic field, Master’s preferredBonus Qualifications:Deep knowledge of Python (advanced modeling not required)Experience working with data from CRM systems, e.g., SalesforceFamiliarity with underwriting and actuarial risk assessments for healthcare insurance coverageFamiliarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMRPerks & Benefits:Fully paid medical, dental, and vision benefits.Flexible PTO401k company contributionTuition reimbursementProfessional development allowanceTransportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values:Fire in the bellyThe drive to learn, to improve, and to deliver outstanding value every day.See the fieldThe ability to see the big picture and prepare to meet tomorrow’s needs.Get it done rightThe passion to produce at higher rates and to the highest standards.For the greater goodA united community creating better health benefit solutions for all.Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.Disclosures: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.California Applicants:  See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.