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Senior Python Data Analyst Jobs in Columbia, MD (NOW HIRING)

Python Developer

West Mclean, VA · On-site

$65 - $70/hr

Senior Python Developer Location: Full-time on-site in McLean, VA Position: C2H Green Card or USC ... Design, build, and maintain scalable Python applications for data processing and analytics.

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Use coding languages (SQL, Python) to conduct technical platform configuration and data integration

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Use coding languages (SQL, Python) to conduct technical platform configuration and data integration

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Handson experience with data wrangling and analysis in R or Python. * Excellent communication and ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Hands-on experience with data wrangling and analysis in R or Python. * Excellent communication and ...

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

Senior Implementation Engineers at Air have a quantitative mindset and firm understanding of how to ... Use coding languages (SQL, Python) to conduct technical platform configuration and data integration

Data Analyst 2

Annapolis, MD · On-site

$110K - $160K/yr

Job Brief Python, AI/ML frameworks RealmOne was built on the principle that people matter first and ... Ability to document and explain results to senior leadership. * Experience with AI/ML frameworks ...

... Analyst will report into a Senior Manager of Data Science & Analytics. As part of the Data ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

... Analyst will report into a Senior Manager of Data Science & Analytics. As part of the Data ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

SQL, Python data tools (Pandas, NumPy, or similar) * Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are comfortable doing serious work in Excel ...

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

Strong data warehouse and analytics background Create business requirement documentation (BRD ... Python is is must have they need to be able to read existing code but they won't be coding anything ...

Showing results 21-40

Senior Python Data Analyst information

See Columbia, MD salary details

$54.6K

$98.5K

$134.5K

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

As of Sep 2, 2026, the average yearly pay for senior python data analyst in Columbia, MD is $98,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,300.00 and $107,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

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

The top searched job categories for Senior Python Data Analyst jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Senior Python Data Analyst jobs?

Cities near Columbia, MD with the most Senior Python Data Analyst job openings:

Senior Data Analyst / Researcher

Index Analytics

Baltimore, MD • On-site, Remote

$120K - $155K/yr

Other

Posted 19 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.