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Python Data Analyst Jobs in Virginia (NOW HIRING)

Ignite Digital

Data Analyst

Chesapeake, VA

$90K/yr

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud ... Conduct statistical analysis and develop predictive models using R or Python. * Communicate ...

Data Intelligence LLC

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 ...

Data Intelligence LLC

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 ...

1 point system

Data Analyst

Mclean, VA · On-site

Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar. * Excellent communication skills to collaborate across ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

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.

Analytic Services Inc

Data Analyst

Alexandria, VA

... Python, Java, Qlik, or similar data science and engineering languages. * Design, develop, and ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

ISOFT

Data Analyst

Mclean, VA · On-site

... data bricks, python, GIT and familiar with Alexandria Feature Library at Capital One is a HUGE plus. Problem solving - Strong ability to identify problems, analyze causes, and develop solutions ...

Air

Data Analyst

Arlington, VA · On-site

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Air

Data Analyst

Arlington, VA

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Air

Data Analyst

Arlington, VA

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Govini technology and data

Centurion Consulting Group

Data Analyst

Falls Church, VA · On-site

$70K - $80K/yr

... R/Python/SQL proficiency (or willingness to train up) Data Analytics/Engineering Background ... Strategic planning and strategic communications Meeting facilitation and stakeholder alignment ...

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Python Data Analyst information

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What are 10 careers related to Python Data Analyst?

Careers related to a Python Data Analyst include Data Scientist, Business Intelligence Analyst, Data Engineer, Data Architect, Quantitative Analyst, Machine Learning Engineer, Data Consultant, Data Operations Manager, Data Warehouse Developer, and Research Analyst. These roles often require skills in programming, data visualization, and statistical analysis, and may involve working with tools like SQL, Tableau, or cloud platforms.

What is the salary of a Python Data Analyst?

The salary of a Python Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and statistical analysis tend to earn higher salaries, especially in tech hubs or large organizations.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Virginia? The most popular types of Python Data Analyst jobs in Virginia are:
What are popular job titles related to Python Data Analyst jobs in Virginia? For Python Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Virginia look for? The top searched job categories for Python Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Python Data Analyst jobs? Cities in Virginia with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Virginia as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.

Data Analyst

Ignite Digital

Chesapeake, VA

$90K/yr

Other

Posted 7 days ago

Job description

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud management, and IT modernization program in Norfolk, VA. This role advances Navy digital transformation by enabling highquality data insights, modern architectures, and enhanced decisionmaking across mission operations.

Position Overview

The MidLevel Data Analyst is responsible for performing sophisticated data analysis, developing reports, and creating intuitive visualizations that drive datainformed decisions. The ideal candidate can work independently or collaboratively, spot opportunities for improvement, and translate analytical findings into operational value. This role also includes mentoring junior analysts and supporting the development of data analysis standards and best practices.

Key Responsibilities:

  • Collect, clean, validate, and integrate data from multiple structured and unstructured sources, ensuring accuracy and integrity.
  • Perform exploratory data analysis to identify trends, patterns, risks, and anomalies.
  • Develop and maintain data models, databases, and analytical workflows.
  • Build and publish dashboards, reports, and visualizations using tools such as Tableau, Power BI, or similar platforms.
  • Conduct statistical analysis and develop predictive models using R or Python.
  • Communicate insights, findings, and recommendations clearly to technical and nontechnical stakeholders.
  • Collaborate with analysts, developers, and system engineers to design and implement datacentric solutions.
  • Mentor junior analysts and provide guidance on tools, techniques, and analytic methodologies.
  • Document workflows, processes, models, and analysis techniques for repeatability and program compliance.
  • Contribute to the development and refinement of analytics best practices and standardized methods.

Required Skills & Experience:

  • 4+ years of professional experience in data analytics.
  • Strong proficiency in R or Python, SQL, Excel, and modern data visualization platforms (e.g., Tableau, Power BI).
  • Experience with statistical analysis and predictive modeling methodologies.
  • Strong analytical reasoning and problemsolving skills.
  • Excellent communication and presentation capabilities.

Education & Certifications:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or another related field.

Clearance

  • Active DoW SECRET security clearance required.

Salary: $90k+ to align with education and experience.

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