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Sr Healthcare Data Analyst

Job in Washington, District of Columbia, 20022, USA
Listing for: Johns Hopkins Health Plans
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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…
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