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

Index Analytics

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

Index Analytics

Data Analyst

Baltimore, MD · On-site

$75 - $110/hr

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

INDEX ANALYTICS LLC

Data Analyst

Baltimore, MD

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies ... Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad ...

Planet

Data Analyst

Arlington, VA · Hybrid

Expertise in SQL and python for data cleaning, aggregation and analytics * Experience with git or other version control * Familiarity with enterprise cloud platforms * Reliability and accuracy in ...

Index Analytics LLC

Data Analyst

Baltimore, MD · On-site

$65 - $90/hr

Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies to support the development of analytical products, reports, and applications. Interpret business data ...

1 point system

Data Analyst

Mclean, VA · On-site

Proficiency in SQL for data querying and manipulation. * Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar.

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

K.L. Scott & Associates

Data Analyst

Washington, DC · On-site

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working with structured data, Python, R, SQL, DAX, BI tools, and dashboard requirements. Experience ...

Elder Research

Data Analyst

Arlington, VA · On-site

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Elder Research

Data Analyst

Arlington, VA · On-site

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Elder Research

Data Analyst

Arlington, VA · On-site

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Elder Research

Data Analyst

Arlington, VA · On-site

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

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Showing results 21-40

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Columbia, MD

Data Analyst Python Sql information

See Columbia, MD salary details

$33.7K

$82K

$135K

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

As of Sep 3, 2026, the average yearly pay for data analyst python sql in Columbia, MD is $82,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

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

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Columbia, MD?

For Data Analyst Python Sql jobs in Columbia, MD, the most frequently searched job titles are:

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

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

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

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

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Columbia, MD as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,012 per year, or $39.4 per hour.

Data Analyst

Index Analytics

Baltimore, MD • On-site, Remote

$75K - $110K/yr

Other

Posted 15 days ago

Job description

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
POSITION OVERVIEW
The Data Analyst will support data analysis, reporting, and analytics solution delivery in a federal healthcare environment. This role will work with internal and external stakeholders to identify analytical requirements, collect and interpret data from multiple sources, develop ad hoc reports and analysis outputs, and translate findings into actionable business recommendations.
KEY RESPONSIBILITIES
  • Work with internal and external stakeholders to identify analytical requirements, clarify business questions, and translate needs into data analysis, reporting, and decision-support outputs.
  • Collect, validate, organize, and analyze data from multiple sources, including client databases, web-based sources, reporting platforms, and other program resources.
  • Use analytical tools, SQL, Python, Excel, BI/reporting platforms, and other approved technologies to support the development of analytical products, reports, and applications.
  • Interpret business data and develop clear findings, recommendations, reports, dashboards, and ad hoc analysis products to support operational and program decision-making.
  • Research best practices and support the development of solutions, recommendations, methodologies, and process improvements for current business operations.
  • Participate in working sessions, requirements discussions, training sessions, and knowledge-transfer activities with stakeholders and team members.
  • Collaborate with Agile delivery teams to document requirements, track analysis tasks, communicate risks or blockers, and iterate on analytics products based on stakeholder feedback.

  • US citizen or Authorized to Work and lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust.
  • Bachelor's degree with a minimum of two (2) years of relevant experience required; in lieu of a degree, four (4) years of specialized experience may be substituted, and relevant advanced certifications may be considered in place of a portion of the required experience.
  • Experience performing data collection, data analysis, business analysis, reporting, and interpretation of data from multiple sources.
  • Experience supporting analytical requirements gathering, stakeholder discussions, and translation of business needs into data analysis or reporting outputs. Experience developing ad hoc reports, dashboards, data summaries, recommendations, and decision-support materials.
  • Experience using SQL, Excel, Python, BI/reporting tools, or similar analytical tools to manipulate, analyze, and present data.
  • Experience with code repository tools like GitHub is preferred
  • Strong communication skills and experience collaborating with analytics, application, and platform teams in an Agile environment
  • Prior experience with Center for Medicare Medicaid Services or other government agencies is a plus.

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