Sr Healthcare Data Analyst - Medical Claims
Johns Hopkins Healthcare - Hanover, MD
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Johns Hopkins Health Plans is a leader in provider-sponsored health plans. If you are interested in improving how healthcare is delivered, and have a passion to be at the forefront of change, JHHP is the place to call home. YOU belong here. What awaits you: Work-life balance- remote role. Applicants working from MD, DC, VA, PA, DE, or FL will be given first consideration. Generous paid time offMedical, Dental, and Vision Insurance.403B Savings Plan w/employer contributionEmployee and Dependent Tuition assistance benefits.Health and wellness programs and MORE!Who You AreThe Senior Healthcare Data Analyst plays a critical role within the Operations organization, supporting operational leaders across claims processing, plan management, enrollment, and customer service. This role goes beyond traditional report development and focuses on delivering insight-driven analytics that improve operational performance, efficiency, and decision-making.You are a strong analytics partner who can work in a fast-paced, unstructured environment, translate complex operational questions into analytical solutions, and help modernize how Operations leverages data.You are comfortable balancing ad-hoc analytical requests with the development of scalable, automated reporting solutions, and you thrive in environments where processes and best practices are still being defined.What You'll DoPartner closely with Operations leaders to understand business needs and translate them into actionable analytical insights, standardized reporting, and ad-hoc analysesSupport operational functions including claims processing, enrollment, plan management, and customer service through data-driven analysisAnalyze operational performance trends to identify process inefficiencies, root causes, and improvement opportunities, not just produce data extractsPlay a key role in the modernization of the Operations analytics function, supporting the transition to new Enterprise Data Warehouse (EDW) and BI platformsDevelop, maintain, and enhance automated dashboards and reports while also handling manual and exploratory analytical requests as neededWork with Analytics Engineers and Data Engineering teams to:Understand and document EDW data structures, data models, and source system relationshipsServe as a key liaison between Operations stakeholders and technical teams, translating business requirements into clear, well-defined analytical and technical specificationsPartner with Analytics Engineering to design, develop, and support the EDW semantic layer, ensuring it aligns with operational use cases and reporting needsCollaborate with technical teams to prioritize and refine data enhancements, balancing business value, data quality, and scalabilityImprove data accessibility, consistency, and analytical usability across BI tools and reporting platformsActively support data literacy within Operations, helping business users better understand available data, metrics, and analytical capabilities and enabling more effective self-service analyticsProvide clear, concise storytelling around data to help Operations leaders make informed decisionsManage multiple concurrent requests, prioritize work effectively, and meet competing timelinesHelp define and evolve best practices, documentation, and workflows for the Operations analytics functionWhat You'll Bring:Strong proficiency in SQL and experience working with large, complex datasets in an Enterprise Data Warehouse environmentHands-on experience with BI and data visualization tools (e.g., Power BI or similar platforms)Familiarity with Databricks or modern cloud-based analytics platforms is strongly preferredAbility to work across technical and non-technical stakeholders, translating business questions into analytical solutionsStrong analytical mindset with a focus on insights, trends, and operational improvement, not just report creationExcellent organizational skills with the ability to manage ambiguity and shifting prioritiesStrong written and verbal communication skills, including the ability to explain complex analyses to operational leadersHealthcare & Domain Expertise:Strong understanding of healthcare data, particularly claims and enrollment dataKnowledge of the claims processing lifecycle, including:Claim generation and submissionAdjudication and paymentAdjustments, reprocessing, and downstream impactsExperience supporting operational teams within a payer, managed care, or health plan environmentExperience & Education:7-10+ years of total professional experience, with at least 5+ years in data analytics or business intelligence roles, preferably within healthcare operationsDemonstrated experience supporting operational teams with analytics, reporting, and performance measurementBachelor's degree required (e.g., Data Analytics, Information Systems, Business, Health Informatics, or a related field)Advanced degree (MBA, MS, or similar) is a plus but not requiredSalary Range: Minimum 33.90/hour - Maximum 55.98/hour. Compensation will be commensurate with equity and experience for roles of similar scope and responsibility. In cases where the range is displayed as a $0 amount, salary discussions will occur during candidate screening calls, before any subsequent compensation discussion is held between the candidate and any hiring authority.We are committed to creating a welcoming and inclusive environment, where we embrace and celebrate our differences, where all employees feel valued, contribute to our mission of serving the community, and engage in equitable healthcare delivery and workforce practices.Johns Hopkins Health System and its affiliates are an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law.Johns Hopkins Health System and its affiliates are drug-free workplace employers.
Created: 2026-04-19