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Senior Data Analyst Developer Jobs in Baltimore, MD

CareFirst

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

  • Retirement

The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the ... Engages in data exploration using various programming languages (reading and writing code ...

Integral

Senior Data Science Developer

Annapolis Junction, MD · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Senior Data Science Developer Location: Annapolis Junction, MD (Hybrid) Clearance: Public ... On-premises and/or Cloud data science and data analytics environments * Python and R in a data ...

Integral

Senior Data Science Developer

Annapolis Junction, MD

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Public Trust (Level 4; High-Risk) Integral Federal is looking to hire a Senior Data Science Developer to support the Transportation Security Administration (TSA) Performance Engineering Analytics ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

  • Medical

  • Retirement

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

  • Medical

  • Retirement

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

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Senior Data Analyst Developer information

See Baltimore, MD salary details

$54.6K

$98.6K

$134.6K

How much do senior data analyst developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior data analyst developer in Baltimore, MD is $98,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $107,800.00 per year, depending on experience, location, and employer.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

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

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

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

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

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

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

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,600 per year, or $47.4 per hour.

Senior Data Analyst / Researcher

Index Analytics

Baltimore, MD • On-site, Remote

$120K - $155K/yr

Other

Posted 4 days ago

Job description

Position Overview
Index Analytics is seeking a Senior Data Analyst / Researcher to support federal healthcare clients by applying advanced analytical, statistical, and research methodologies to transform complex healthcare and program data into actionable insights. This role combines deep expertise in Medicaid and CHIP programs, data analytics, policy research, and stakeholder engagement to support evidence-based decision-making, program oversight, and healthcare transformation initiatives.
The ideal candidate will be able to lead and conduct quantitative and qualitative analyses across diverse healthcare data sources, including claims, enrollment, utilization, quality, and performance datasets, to identify trends, evaluate program effectiveness, and inform policy and operational improvements. Working closely with data scientists, engineers, health policy researchers, and client stakeholders, this position develops high-impact analyses, predictive models, visualizations, and research products that support strategic priorities and improve outcomes for federal healthcare programs.
Key Responsibilities
  • Conduct research on best practices and analyze diverse Medicaid and Children's Health Insurance Program (CHIP) data sources including claims, TAF, program oversight metrics, scorecards, and performance data to identify patterns, clusters, and insights that inform policy, operational improvements, and feature development for CMS business needs.
  • Perform routine and exploratory data analysis using statistical methods, predictive modeling, and state-of-the-art data mining techniques to build predictive models, uncover trends, and generate actionable insights.
  • Develop and deliver high-quality reports, ad hoc analyses, and data visualizations grounded in HCD and UX best practices to help clients interpret complex information and support decision-making.
  • Work collaboratively in an agile environment with data analysts, data scientists, and internal/external clients to define analytical requirements, develop value-added solutions, and enhance business operations.
  • Prepare technical deliverables including presentation decks, reports, and draft manuscripts communicating findings to clients and scientific audiences through clear, compelling presentations that translate complex concepts for diverse stakeholders.
  • Integrate qualitative design research with exploratory data analysis to provide insights that support improved health policy and better outcomes for Medicaid and CHIP populations.
  • Use analytics and data expertise to provide input to and review of documentation, reference, and training materials related to analytic approaches, data structures and content, and data quality observations.

  • U.S. Citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three of the past five years. Must be eligible to support federal government clients and meet applicable background investigation requirements.
  • Bachelor's degree and a minimum of 10 years of professional experience, or an equivalent combination of education and experience. Four years of specialized experience may be substituted for a bachelor's degree. Candidates should possess significant experience supporting data analytics, business intelligence, research, or related healthcare and government initiatives.
  • Demonstrated experience applying statistical methods and analytical techniques, including probability distributions, hypothesis testing, regression analysis, predictive modeling, data mining, and advanced data visualization to support data-driven decision-making, program administration, policy development, and program oversight.
  • Strong experience conducting complex quantitative and qualitative analyses using large healthcare datasets to evaluate program performance, identify trends, measure outcomes, and support operational and policy improvements.
  • Hands-on experience performing data analytics using SQL, PySpark, or comparable technologies is required.
  • Direct experience working with Medicaid and CHIP data assets, including T-MSIS Analytic Files (TAF), CMS-416T reports, state performance measures, and health outcomes reporting, is required. Experience with DQ Atlas, Scorecard, or related CMS performance monitoring tools is preferred.
  • Experience developing reports, dashboards, data visualizations, and analytical products that effectively communicate findings to technical, business, and executive audiences.
  • Subject matter expertise in text analytics is preferred. Experience applying Natural Language Processing (NLP) techniques using Python or similar technologies is a plus.
  • Proficiency with Python, R, or other analytical programming languages is preferred.
  • Knowledge of healthcare policy, Medicaid and CHIP programs, population health, quality measurement, program evaluation, or healthcare performance improvement initiatives is highly desirable.
  • Experience supporting the Centers for Medicare & Medicaid Services (CMS) or other federal, state, or local government agencies is preferred.
  • Strong written, verbal, and presentation communication skills, with demonstrated ability to translate complex analytical findings into actionable recommendations for diverse stakeholder groups.
  • Proven ability to work collaboratively within cross-functional teams, manage multiple priorities, and support client-facing engagements in an Agile or fast-paced project environment.

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