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Data Analyst Python Sql Jobs in Arlington, VA (NOW HIRING)

Proficiency in Python and SQL for data manipulation and analysis. * Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. * Experience working with LLMs ...

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 ...

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.

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 ...

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 ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

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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Data Analyst Python Sql information

See Arlington, VA salary details

$39.1K

$95.1K

$156.5K

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

As of Sep 1, 2026, the average yearly pay for data analyst python sql in Arlington, VA is $95,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $111,600.00 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 job categories do people searching Data Analyst Python Sql jobs in Arlington, VA look for?

The top searched job categories for Data Analyst Python Sql jobs in Arlington, VA are:

What cities near Arlington, VA are hiring for Data Analyst Python Sql jobs?

Cities near Arlington, VA with the most Data Analyst Python Sql job openings:

AI Data Analyst US Citizens only, active TS/SCI clearance required

LTC Solutions LLC

Washington, DC • On-site

$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

LTC Solutions, LLC is a small business with a huge commitment to supporting our employees and providing quality services to our government clients. Our employees have an entrepreneurial spirit, a passion for excellence, and a proactive approach to providing the best possible solutions to our clients. If you are committed to building excellent client relationships, providing consistent superior-quality work, and taking initiative to understand your clients' needs, we would like to meet you!
LTC offers a dynamic team setting and generous benefits (including 401K, PTO, and Health, Dental, Vision, Life and Disability Insurance).
Location: Hybrid (Supporting Pentagon, Arlington, VA)
Status: Contingent Hire - Full-Time - Hybrid
Clearance: US Citizens with Active TS/SCI Security Clearance (Required)
MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools.
Position Summary
The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making.
The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance.
Required Qualifications
  • U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
  • One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
  • Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
  • Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
  • Experience collecting, cleaning, validating, and transforming structured datasets.
  • Working knowledge of relational databases, SQL queries, and data management principles.
  • Strong analytical, problem-solving, and technical communication skills.
  • Ability to work independently while collaborating effectively with senior analysts and Government personnel.

Preferred Qualifications
  • Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
  • Experience developing automated data pipelines or reusable scripts.
  • Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
  • Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
  • Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
  • Experience creating interactive dashboards and executive visualization products.
  • Exposure to artificial intelligence, machine learning, or predictive analytics concepts.

Primary Duties
  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
  • Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
  • Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
  • Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
  • Research data anomalies, resolve inconsistencies, and document corrective actions.
  • Support integration of data from multiple Government systems into consolidated analytical datasets.
  • Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
  • Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
  • Assist with testing, validating, and deploying analytical products before Government delivery.
  • Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
  • Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
  • Perform additional analytical, scripting, automation, and reporting duties as assigned.

LTC Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.