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Remote Part Time Data Analytics Jobs in Washington, DC

Remote Work: Hybrid Job Number: R0247289 Location: Arlington,VA,US Share job via: Share Data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Arlington, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0247514 Location: Arlington,VA,US Share job via: Share Data Analyst ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246463 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience analyzing structured and unstructured data sources * Experience developing predictive ...

Data Scientist, Mid

Reston, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243379 Location: Reston,VA,US Share job via: Share Data Scientist ... Experience analyzing structured and unstructured data sources * Experience developing predictive ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist ... As an analytics professional, you're excited at the prospect of unlocking the secrets held by a ...

Data Architect, Lead

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0241251 Location: Chantilly,VA,US Share job via: Share Data Architect ... As a data architect, you know how to apply your creative-thinking and analytical mindset to help ...

Data Engineer, Mid

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247241 Location: Washington,DC,US Share job via: Share Data Engineer ... You'll use your experience in analytical exploration and data examination while you manage the ...

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Remote Part Time Data Analytics information

See Washington, DC salary details

$27

$62

$106

How much do remote part time data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote part time data analytics in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

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

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

Infographic showing various Remote Part Time Data Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Data Science Associate (Part-Time)

American Institutes for Research

Arlington, VA • On-site, Remote

$67K - $68K/yr

Full-time, Part-time

Posted 2 days ago

New


Job description

AIR's Tek Office is seeking a part-time Data Science Associate to join its forward-thinking and innovative team of data scientists and software engineers. Our team works on innovative projects that advance our organization and partners with clients to deliver innovative data collection, communication, learning, user experience, and data-driven solutions across web, mobile, analytics, and data management platforms. Data scientists at AIR use a blend of technology skills and theory to contribute to cutting-edge research design, implementation, and capacity building.

Engagements are typically project-based, part-time, and may vary in duration and hours depending on project needs.

This remote position requires flexibility to work from AIR's Crystal City office. This part-time position is expected to run from September 2026 through May 2027.

About AIR:

Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all.

Responsibilities:

The key responsibilities for the position include, but are not limited to

  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. 
  • Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. 
  • Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. 
  • Assist with computer modeling and simple to moderately complex forecasting using standard software packages. 
  • Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. 
  • Create replicable, well-documented code in a shared environment. 
  • Coordinate project support needs and requests from senior management and clients. 
  • Develop systems to maintain and verify the accuracy of data for assigned projects. 
  • Utilize external resources to supplement, organize, and contribute to tasks and projects. 
  • Present and occasionally support or organize content for internal and external meetings. 
  • Stay current on emerging technologies and provide recommendations for research applications. 
  • Review and optimize code written by others. 
  • Provide innovative and appropriate solutions to complex problems.
  • The scope of responsibilities may be modified as business needs evolve.

Qualifications:

Education, Knowledge, and Experience

  • Master's degree in computer science-related fields (e.g., Data Science, Data Engineering, Computer Science) and enrolled in a PhD program.
  • Experience with cloud platforms including AWS, GCP, and Azure; hands-on exposure to Azure OpenAI API is preferred, but not required. 

Skills

  • Solution-oriented mindset with the ability to apply creative problem-solving techniques.
  • Strong communicator with the ability to engage effectively across all organizational levels and diverse backgrounds, including virtual environments, and to convey complex technical concepts clearly and accurately in plain language. 
  • Collaborative team player, able to work effectively in cross-functional teams and contribute to shared goals in a virtual environment. 
  • Flexible and adaptable, comfortable working in dynamic environments and adjusting to changing priorities. 
  • Proficient with database technologies such as MySQL and MS SQL Server. 
  • Familiarity with generative AI tools and applications for practical use cases. 
  • Knowledge of Python web frameworks (e.g., Django, Flask) is advantageous. 
  • Interest in exploring and developing innovative tools for data-driven applications. 

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. 

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer:

AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an "@air.org" domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams at ftc.gov/scams.