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Part Time Python Data Analysis Jobs in Washington, DC

Booz Allen Hamilton, Inc.

Data Scientist

Reston, VA · On-site

$77K - $176K/yr

... for data analysis such as Python, R, or SQL * Knowledge of statistical analysis, predictive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

... data analysis, data visualization, or data mining * 2+ years of experience with Python coding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$99K - $225K/yr

You'll work closely with the Marine Corps Directorate of Analysis and Performance Optimization to ... Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL * Experience with ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Arlington, VA · On-site

$99K - $225K/yr

You'll work closely with the Marine Corps Directorate of Analysis and Performance Optimization to ... Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL * Experience with ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

... for data analysis such as Python, R, or SQL * Knowledge of statistical analysis, predictive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

... for data analysis such as Python, R, or SQL * Knowledge of statistical analysis, predictive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsPython Data Analysis JobsPart Time Python Data Analysis JobsPart Time Python Data Analysis Jobs in Washington, DC

Part Time Python Data Analysis information

See Washington, DC salary details

$14

$66

$97

How much do part time python data analysis jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for part time python data analysis in Washington, DC is $66.39, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $75.43 per hour, depending on experience, location, and employer.

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

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

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

What are the most commonly searched types of Python Data Analysis jobs in Washington, DC?

The most popular types of Python Data Analysis jobs in Washington, DC are:

What are popular job titles related to Part Time Python Data Analysis jobs in Washington, DC?

For Part Time Python Data Analysis jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Part Time Python Data Analysis jobs in Washington, DC look for?

The top searched job categories for Part Time Python Data Analysis jobs in Washington, DC are:

Part Time Python Data Analysis jobs near you
Infographic showing various Part Time Python Data Analysis job openings in Washington, DC as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $138,100 per year, or $66.4 per hour.

Data Analyst

Infinite Management Solutions, LLC

Falls Church, VA • On-site

Part-time

Re-posted 3 days ago

Job description


Job Title: Data Analyst
Location: Falls Church, VA-National Capital Region (NCR) 
Position Type: Part-time; Contract Award Contingency*
Infinite Management Solutions, LLC is a woman and veteran owned business that focuses on delivering results by providing innovative solutions to challenge the status quo. We have over 75 years of combined experience and are dedicated to solving complex business problems. Our staff embody Professionalism, Integrity, and Excellence while achieving each customer's desired outcome. We consistently deliver high quality results on time and in the most cost-effective manner. Our focus on continuous improvement and growth keeps us ahead of competitors. We are professional problem solvers. We improve the world of our customers and help them accelerate change by ensuring effective and flexible operations, streamlining processes, developing customer centric communications, and enabling data-driven decisions.
Position Summary
The Data Analyst builds and maintains performance data pipelines and dashboards to support weekly, monthly, and semiannual program reporting and decision-making.  Implements strong data governance and supports required agreements and processes in compliance with privacy regulations.
*Contract Award Contingency:   This position is being advertised in anticipation of a potential contract award (Q4 2026) and is contingent upon the successful award of that contract to our organization. If the contract is not awarded, this position will not be filled.  
Key Responsibilities (List not all inclusive):
  • Design, build, and maintain datasets and data pipelines for program reporting
  • Develop automated dashboards and visualizations for weekly, monthly, and semiannual deliverables
  • Validate and clean data to ensure accuracy and reliability
  • Support the Business Analyst in preparing executive summaries and presentations
  • Assist with data sharing agreements (DSA/DUA) and compliance with privacy regulations
  • Conduct ad hoc analyses to support program management and outreach evaluation
  • Document data sources, methodologies, and findings for transparency and reproducibility
  • Stay current on best practices in federal data analytics and reporting
  • Provide technical support for data-related inquiries and troubleshooting
  • Collaborate with other team members to enhance data-driven processes
  • Other relevant duties as assigned
Required Qualifications:
  • Bachelor’s degree from an accredited university in statistics, data analytics, information technology, or related field
  • Minimum of three (3) years of applied analysis experience
  • Meets U.S. citizenship and work eligibility requirements for federal contractors
  • Must be able to obtain and maintain a Department of Defense (DOD) secret clearance (if required)
Skills & Competencies:
  • Excellent verbal and written communication skills
  • Proven ability to interact professionally with senior leaders, including civilians, military personnel, and contractors
  • Experienced in data cleansing and validation
  • High attention to detail and accuracy
  • Proven success automating reporting and building dashboards
  • Familiarity with Federal procurement data (Federal Procurement Data Systems (FPDS), System for Award Management (SAM), USAspending.gov)
  • Proficient with Microsoft Suite (Outlook, Word, Excel, PowerPoint) and data analysis and validation tools (Excel, Power BI, Tableau)
Salary Range
$41– $52 hourly, depending on experience, qualifications, and contract funding availability. Final compensation will be determined based on candidate experience, internal equity, and client contract requirements. Salary range shown is the good‑faith estimate of the compensation range for this position at the time of posting.
Infinite Management Solutions, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and a 100% woman-owned company. We are an equal opportunity employer and comply with all applicable federal, state, and local laws governing employment practices. All qualified applicants will be considered based on merit and business need. We welcome Veterans and transitioning service members to explore opportunities within our team.
Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer
  • Manual dexterity sufficient to operate a computer keyboard, mouse, and other office equipment
  • Visual acuity for close work, such as reading on screens and in print and working on a computer
  • Occasional lifting of materials or equipment weighing up to 20 pounds
  • Ability to communicate effectively, both verbally and in writing, in a professional office environment
  • Sufficient physical ability to move about the workspace to attend meetings, access files, and perform other job-related tasks
This position description reflects IMS's assignment of essential functions; nothing in this job description restricts the Company's latitude to assign or reassign duties and responsibilities to this job at any time.
 

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