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Python Data Analyst Jobs in Virginia (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages * Develop and update user support materials, websites, and training resources * Ensure all published ...

TriOptus LLC

Senior Data Analyst

Mclean, VA · On-site

$87.40K - $110.30K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... in Python, and deliver executive-ready insights through Tableau and Power BI. You will also ...

Cymertek

Data Analyst

Tysons, VA · On-site

Data Analyst LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Cymertek

Data Analyst

Reston, VA · On-site

Data Analyst LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Cymertek

Data Analyst

Reston, VA

Data Analyst LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Cymertek

Data Analyst

Chantilly, VA

Data Analyst LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89.50K - $112.90K/yr

Creating dashboards, charts, and reports using tools like Excel, SQL, Python, and Tableau to ... Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce ...

Cymertek

Data Analyst

Tysons, VA

Data Analyst LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this position requires ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

eSolutionsFirst, LLC

Sr. Python Developer

Mclean, VA

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

Capital One

Principal Data Analyst

Mclean, VA · On-site

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Cymertek

Data Analyst

Chantilly, VA · On-site

Data Analyst LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position ... Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes

Capital One

Principal Data Analyst

Richmond, VA

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Capital One

Principal Data Analyst

Mclean, VA

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

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Python Data Analyst information

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.

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 May 2026, with employment types broken down into 5% As Needed, 71% Full Time, 14% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 69% Physical, 17% Hybrid, and 14% Remote job distribution.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site, Remote

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 19 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Applications (ORIVA) research validation and application programs across D-NICEATM and DAIBR.
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research.
Key Responsibilities:
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages
  5. Develop and update user support materials, websites, and training resources
  6. Ensure all published materials meet 508-compliance standards
  7. Present complex analytical results clearly to scientific and non-technical audiences
  8. Support data validation, cleansing, and governance per NIH data quality standards

Qualifications and Skills:
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis
  4. Experience managing and integrating large biomedical or genomic datasets
  5. Strong background in statistical analysis, data modeling, and computational methods
  6. U.S. citizenship required; ability to obtain Public Trust clearance

Desired Skills and Competencies:
  1. Expertise in NAMs or computational toxicology
  2. Experience with NIH scientific databases and platforms
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards
  4. Prior NIH and/or HHS contractor experience
  5. Experience with cloud platforms or HPC environments
  6. Peer-reviewed publications in a related field

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.

Flexible work from home options available.