Data Analyst Jobs in Baltimore, MD
Data Analyst jobs in Baltimore are concentrated in the Inner Harbor, Harbor East, and Woodberry neighborhoods, with strong demand across healthcare, financial services, and federal contracting. Employers hiring right now include Johns Hopkins University, CareFirst BlueCross BlueShield, and Ciena. Find a role that fits below and apply directly.
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Resp & Qualifications
PURPOSE:
The purpose of a Sr. Data Analyst is to support ACA risk adjustment processes, including EDGE server analysis and submission validation. Ensure accuracy and integrity of risk adjustment performance metrics through proactive analysis and validation of data sources including claims, enrollment, provider, and EDGE submissions. Analyze and interpret CMS and HHS risk adjustment methodologies to support risk score calculation and financial performance insights.
ESSENTIAL FUNCTIONS:
- Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures. Understand CMS risk score methodology, including risk score calculation, financial risk receivable calculations, EDGE processes and key regulatory deadlines for data submission. Understand the impact of the HCCs on the risk adjustment revenue including interpretation of CMS guidelines, monitoring and determining the impact of any changes to the HCC model and supporting actuarial in the calculation risk adjustment revenue.
- Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
- Assists in designing an overall suite of analytic capabilities and actionable reports to solve problems, provide data-driven guidance, and monitor risk adjustment performance. Provide analytical support on various strategies to ensure organizational goals are met and propose opportunities in maximizing reimbursement based on the CMS-HCC (Hierarchical Condition Code) model. Perform data mining of claims and data to identify trends, data issues and members with missing HCCs.
- Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
- Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution. Collaborate across business units to coordinate the development of financial dashboards and models to identify and track revenue and ROI trends. Work with team members to understand and monitor the financial impact of risk adjustment programs. Contribute to developing materials and presenting key updates to leadership regarding risk adjustment programs and provider and member engagement initiatives.
- Lead in the design, development, validation and delivery of data to provide insight into business decisions. Conduct analyses to develop a comprehensive understanding of a providers risk score trends, EMR systems and contracting arrangements to recommend and generate provider-specific engagement plans. Oversee the analysis and interpretation of provider-specific results and risk score trend information. Develop dashboard reporting and a regular schedule for delivering results of analyses to improve awareness and understanding of risk adjustment results and quality, accuracy and identification of member health conditions. Update, create and maintain business process and technical workflow documents.
- Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.
- Be a resource and mentor to junior level staff.
SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years' experience in an analytical/quantitative role.
Preferred Qualifications:
- Experience in Healthcare Industry.
- Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale.
- Experience with SAS, SQL, Python or other programming language.
- Experience with ACA HHS risk score methodology, including risk score calculation and financial risk receivable calculations.
- Experience with EDGE Submission Error Analyses and reporting.
Knowledge, Skills and Abilities (KSAs)
- Quantitative, analytical and problem-solving skills.
- Knowledge and understanding of analytical tools, languages, applications, platforms.
- Excellent communication skills both written and verbal.
- Ability to learn quickly and take direction.
- Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
Salary Range: $87,264 - $173,316
Salary Range Disclaimer
The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).
Equal Employment Opportunity
CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
Federal Disc/Physical Demand
Note: The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.
PHYSICAL DEMANDS:
The associate is primarily seated while performing the duties of the position. Occasional walking or standing is required. The hands are regularly used to write, type, key and handle or feel small controls and objects. The associate must frequently talk and hear. Weights up to 25 pounds are occasionally lifted.
Sponsorship in US
Must be eligible to work in the U.S. without Sponsorship
#LI-NH2
See All 18 Data Analyst Jobs in Baltimore
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Find Data Analyst JobsData Analyst Job Market in Baltimore
Who's Hiring
- Johns Hopkins University8

- CareFirst BlueCross BlueShield3

- Ciena1

- Under Armour1

- Brown Advisory1

Top Industries Hiring
- Education8
- Healthcare & Medical Services2
Data Analyst Jobs in Baltimore: Frequently Asked Questions
How do I get a data analyst job in Baltimore?
Baltimore's strongest hiring comes from its health systems, federal agencies, and financial services firms, so candidates who can speak to healthcare data, government compliance, or risk analytics have a clear edge. Concentrating your search on employers in the Inner Harbor, Harbor East, and the biotech corridor around Johns Hopkins gives you the highest density of openings. SQL proficiency, experience with Tableau or Power BI, and familiarity with HIPAA data handling are the credentials that come up most in local postings.
Which companies hire data analysts in Baltimore?
Baltimore data analyst roles are posted by Johns Hopkins University, CareFirst BlueCross BlueShield, and Ciena and others right now, based on current listings on Migrate Mate as of July 2026. The local market is anchored by major health systems, financial institutions, and federal contractors, many of which maintain significant analytics teams in the city.
Are there remote data analyst jobs in Baltimore?
Yes, data analyst work is well suited to remote and hybrid arrangements because most of the work involves tools and datasets rather than on-site operations. About 91% of data analyst openings tied to Baltimore are remote or hybrid as of July 2026, reflecting the desk-based nature of the role. Analytics work supporting federal contractors and health systems tends to offer the most consistent hybrid flexibility in Baltimore.
How can I get a data analyst job in Baltimore with little or no experience?
The most realistic entry path in Baltimore is targeting health system analytics support roles and federal contractor positions that hire junior analysts for reporting and dashboard work. Baltimore's Johns Hopkins Health System, University of Maryland Medical System, and smaller government contractors routinely post associate analyst and data coordinator roles that serve as entry points. Building a portfolio with a public dataset relevant to healthcare or civic data, and earning a certification in SQL or Python, makes a candidate noticeably stronger for these openings.
Which industries hire the most data analysts in Baltimore?
Baltimore data analyst roles concentrate in Education and Healthcare & Medical Services, based on current listings on Migrate Mate as of July 2026. Baltimore's standing as a major hub for academic medical centers, federal agency offices, and regional financial institutions drives consistent demand for analysts who can work with large, regulated datasets across all three sectors.
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