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Python Data Analyst Jobs in Virginia (NOW HIRING)

Ignite Digital

Data Analyst

Chesapeake, VA · On-site

$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 · 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 ...

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 ...

Technomics

Data Analyst

Arlington, VA

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Technomics, Inc.

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

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 · 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.

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 · 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.

RVA ROOFING SERVICES

Data analyst

Colonial Heights, VA · On-site

Collect, process, and analyse data to identify trends and patterns. * Create visualisations and ... Familiarity with programming languages such as Python or R. * Understanding of statistical methods ...

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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.

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.

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.

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.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Analyst

Ignite Digital

Chesapeake, VA • On-site

$90K/yr

Full-time

Re-posted yesterday

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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