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Part Time Data Jobs in Virginia (NOW HIRING)

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions.

Actfore

Data Entry Analyst - Part Time

Reston, VA · On-site

Whether you are a fresh graduate, a career changer, or looking for consistent part time work, ACTFORE invites you to apply to grow in IT/Cybersecurity/Data and safeguard organizations and the people ...

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99K - $125K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site

$77K - $176K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... 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

Mclean, VA · On-site

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... 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

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... 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

Mclean, VA · On-site

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... 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

$99K - $225K/yr

Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsData JobsPart Time Data JobsPart Time Data Jobs in Virginia

Part Time Data information

See Virginia salary details

$8

$19

$49

How much do part time data jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for part time data in Virginia is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $12.62 and $18.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Entry Clerk, and why are they important?

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so demand for human analysts remains strong.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

How can I make $2000 a week working from home?

Part time data roles, such as data entry or data analysis, typically pay hourly and may not reach $2000 weekly unless combined with multiple positions or high-demand freelance projects. To increase earnings, developing skills in data management tools like Excel or SQL and seeking freelance or contract work can help, but earning $2000 weekly part-time is uncommon without extensive experience or specialized skills.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value skills and experience over age, making it possible to pursue a data science career at 40 or older.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or contract positions. These roles may require proficiency in tools like Excel, SQL, or Python, and flexible schedules are common for part-time work. Availability of part-time opportunities depends on the employer and project needs.
What are the most commonly searched types of Data jobs in Virginia? The most popular types of Data jobs in Virginia are:
What are popular job titles related to Part Time Data jobs in Virginia? For Part Time Data jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Virginia look for? The top searched job categories for Part Time Data jobs in Virginia are:
What cities in Virginia are hiring for Part Time Data jobs? Cities in Virginia with the most Part Time Data job openings:
Part Time Data jobs near you
Part-Time Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

Posted 9 days ago

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Job description

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions. The ideal candidate will possess strong technical expertise in data analysis, data engineering, visualization, and cloud-based analytics platforms while effectively collaborating with business stakeholders and technical teams to deliver actionable insights and innovative solutions.  This role with be 10-20 hours/week and require occasional on-site meetings.
This role requires a highly skilled professional who can translate complex business requirements into technical solutions, develop advanced analytics products, and support enterprise data initiatives utilizing modern cloud and business intelligence technologies.
Key Responsibilities

  • Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations using industry-standard tools and technologies.
  • Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets, automate processes, and support analytical initiatives.
  • Develop and maintain business intelligence solutions using Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Create and maintain DAX and Power Query (M) code for data transformation, modeling, and reporting.
  • Collaborate with agency stakeholders to identify business and technical requirements and translate them into technical designs and implementation plans.
  • Engineer data solutions through prototyping, proof-of-concept development, testing, and full production implementation.
  • Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration strategies.
  • Support cloud-based analytics environments utilizing AWS or Azure services, including Databricks, Data Factory, and Data Lake technologies.
  • Serve as a liaison between business users, database administrators, and IT support teams to facilitate effective communication and solution delivery.
  • Troubleshoot and support existing applications, reports, dashboards, and data environments.
  • Review, analyze, modify, test, debug, and document existing code, reports, and analytical products.
  • Evaluate and document data security, continuity of operations, and compliance requirements for analytical systems.
  • Ensure compatibility between software, hardware, and data environments while supporting system design reviews and technical briefings.
  • Develop comprehensive technical documentation, including requirements, methodologies, data sources, business rules, and deployment procedures.
  • Provide guidance and mentoring to team members regarding data quality, data access, storage, analytics tools, and best practices.
  • Assist with training initiatives, workshops, and presentations for both technical and non-technical audiences.
  • Support data governance, data warehousing, relational database management, and data quality initiatives.
  • Ensure adherence to software development lifecycle (SDLC) processes, quality standards, and security guidelines.


Required Qualifications

  • US Citizenship Required
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related technical field.
  • Minimum of 7 years of experience developing solutions using SQL, Python, R, JavaScript, or comparable programming languages.
  • Minimum of 3 years of experience working with Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Minimum of 1 year of experience working with cloud analytics services such as AWS or Azure, including Databricks, Data Factory, and Data Lake solutions.
  • Demonstrated experience developing analytical models, dashboards, reports, and business intelligence solutions that drive measurable business outcomes.
  • Advanced proficiency in SQL and relational database technologies.
  • Strong experience with ETL development, data integration, and data transformation methodologies.
  • Expertise in DAX, Power Query (M), and business intelligence reporting frameworks.
  • Experience with data warehousing, data governance, data quality, and data management best practices.
  • Knowledge of ODBC connection strings and external data source connectivity protocols.
  • Experience working with both structured and unstructured data sources.
  • Familiarity with cloud-based analytics and data engineering platforms.
  • Strong understanding of software development lifecycle methodologies and quality assurance processes.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.