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Job Details


Requisition #: 661787
Location: Johns Hopkins Health Plans,
Hanover,
MD 21076

Category: Non-Clinical Professional
Schedule: Day Shift
Employment Type: Full Time

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 off
• Medical, Dental, and Vision Insurance.
• 403B Savings Plan w/employer contribution
• Employee and Dependent Tuition assistance benefits.
• Health and wellness programs and MORE!

Who You Are

The 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 Do

• Partner closely with Operations leaders to understand business needs and translate them into actionable analytical insights, standardized reporting, and ad-hoc analyses
• Support operational functions including claims processing, enrollment, plan management, and customer service through data-driven analysis
• Analyze operational performance trends to identify process inefficiencies, root causes, and improvement opportunities, not just produce data extracts
• Play a key role in the modernization of the Operations analytics function, supporting the transition to new Enterprise Data Warehouse (EDW) and BI platforms
• Develop, maintain, and enhance automated dashboards and reports while also handling manual and exploratory analytical requests as needed
• Work with Analytics Engineers and Data Engineering teams to:
• Understand and document EDW data structures, data models, and source system relationships
• Serve as a key liaison between Operations stakeholders and technical teams, translating business requirements into clear, well-defined analytical and technical specifications
• Partner with Analytics Engineering to design, develop, and support the EDW semantic layer, ensuring it aligns with operational use cases and reporting needs
• Collaborate with technical teams to prioritize and refine data enhancements, balancing business value, data quality, and scalability
• Improve data accessibility, consistency, and analytical usability across BI tools and reporting platforms
• Actively support data literacy within Operations, helping business users better understand available data, metrics, and analytical capabilities and enabling more effective self-service analytics



• Provide clear, concise storytelling around data to help Operations leaders make informed decisions
• Manage multiple concurrent requests, prioritize work effectively, and meet competing timelines
• Help define and evolve best practices, documentation, and workflows for the Operations analytics function

What You'll Bring:

• Strong proficiency in SQL and experience working with large, complex datasets in an Enterprise Data Warehouse environment
• Hands-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 preferred
• Ability to work across technical and non-technical stakeholders, translating business questions into analytical solutions
• Strong analytical mindset with a focus on insights, trends, and operational improvement, not just report creation
• Excellent organizational skills with the ability to manage ambiguity and shifting priorities
• Strong written and verbal communication skills, including the ability to explain complex analyses to operational leaders

Healthcare & Domain Expertise:

• Strong understanding of healthcare data, particularly claims and enrollment data
• Knowledge of the claims processing lifecycle, including:
• Claim generation and submission
• Adjudication and payment
• Adjustments, reprocessing, and downstream impacts





• Experience supporting operational teams within a payer, managed care, or health plan environment

Experience & Education:

• 7-10+ years of total professional experience, with at least 5+ years in data analytics or business intelligence roles, preferably within healthcare operations
• Demonstrated experience supporting operational teams with analytics, reporting, and performance measurement
• Bachelor'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 required

Salary 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 drug-free workplace employers.

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.

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Job Tags

Full time, Local area, Remote work, Work from home, Shift work, Day shift

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