1

Assistant Data Analyst Jobs in Baltimore, MD (NOW HIRING)

Showing results 41-60

Assistant Data Analyst information

See Baltimore, MD salary details

$27.8K

$71.2K

$136.1K

How much do assistant data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for assistant data analyst in Baltimore, MD is $71,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $83,000.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What are the most commonly searched types of Data Analyst jobs in Baltimore, MD?

The most popular types of Data Analyst jobs in Baltimore, MD are:

What are popular job titles related to Assistant Data Analyst jobs in Baltimore, MD?

For Assistant Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analyst jobs in Baltimore, MD look for?

The top searched job categories for Assistant Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Assistant Data Analyst jobs?

Cities near Baltimore, MD with the most Assistant Data Analyst job openings:

Infographic showing various Assistant Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $71,217 per year, or $34.2 per hour.

Senior Data Analyst - ACA Risk Adjustment (Hybrid)

CareFirst

Baltimore, MD • On-site

$85K - $107K/yr

Full-time

Retirement

Re-posted 5 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

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 


What CareFirst BlueCross BlueShield employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom