Sr. Business Analyst

Johns Hopkins Medicine•Hanover, MD

3d•$34 - $56•Remote

About The Position

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 Business 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

Requirements

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)
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
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
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)

Nice To Haves

Familiarity with Databricks or modern cloud-based analytics platforms is strongly preferred
Advanced degree (MBA, MS, or similar) is a plus but not required

Responsibilities

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