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Part Time Data Management 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 ... Support data governance, data warehousing, relational database management, and data quality ...

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Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

Experience with project management, project planning, and technical documentation * Knowledge 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 Governance Lead

Mclean, VA · On-site

$99K - $225K/yr

As the Data Governance Lead, you will manage the platforms, rules, and processes that ensure ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

You'll use your experience in analytical exploration and data examination while you manage the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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How much do part time data management jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for part time data management in Virginia is $32.79, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $38.85 per hour, depending on experience, location, and employer.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in consulting, freelance projects, or roles with flexible schedules. However, many full-time positions are more common due to the complexity and time demands of data analysis, modeling, and tool proficiency such as Python or R.

What is a Part Time Data Management job?

A Part Time Data Management job involves handling, organizing, and maintaining data for a company on a limited-hour basis. Responsibilities may include data entry, cleaning, updating databases, and ensuring data integrity. These roles are common in industries like finance, healthcare, and marketing, where accurate data is essential. Part-time positions may offer flexible hours, making them ideal for students or professionals seeking supplementary income. Proficiency in data management tools like Excel, SQL, or database software is often required.

How to make 2000 a week working from home?

Part time data management roles can offer flexible schedules, but earning $2000 weekly typically requires working multiple hours or taking on high-volume projects. Developing strong organizational skills, proficiency with data tools, and seeking contracts with higher pay rates can help increase earnings, though reaching that level part-time may be challenging without additional income sources.

What are the key skills and qualifications needed to thrive in the Part Time Data Management position, and why are they important?

To thrive as a Part Time Data Management professional, you need a strong attention to detail, data entry accuracy, and familiarity with data organization principles, typically supported by relevant coursework or experience. Proficiency in tools such as Microsoft Excel, database management systems (like SQL), and data visualization software is often expected, and certifications in data analytics or database administration can be an advantage. Strong organizational, time-management, and communication skills help individuals excel when handling multiple tasks and collaborating with team members. These skills are essential to ensure data integrity, support business operations, and contribute effectively within a part-time capacity.

What are the typical daily responsibilities for someone in a Part Time Data Management position?

In a Part Time Data Management role, your daily tasks often include entering, updating, and verifying data in company databases to maintain accuracy and consistency. You may also be responsible for generating regular reports, performing data quality checks, and assisting with the organization and archiving of important records. Collaboration with other departments, such as IT or finance, is common to ensure data requirements are met and to resolve any discrepancies. This structured yet flexible work typically supports broader business functions and can provide valuable experience in both technical and analytical aspects of data management.

How much do part-time data analysts make?

Part-time data analysts typically earn between $15 and $30 per hour, depending on experience, location, and the complexity of the data tasks. Salaries can vary based on industry, certifications, and whether they work freelance or for an organization, with some earning higher rates for specialized skills like SQL or Python.

Is data management a good career option?

Data management is a viable career choice, especially for roles like part-time data management, which involve organizing, storing, and maintaining data using tools such as databases and spreadsheets. It requires strong attention to detail, technical skills, and often familiarity with data privacy standards, making it suitable for individuals interested in information systems and data analysis.
What are the most commonly searched types of Data Management jobs in Virginia? The most popular types of Data Management jobs in Virginia are:
What are popular job titles related to Part Time Data Management jobs in Virginia? For Part Time Data Management jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Data Management jobs in Virginia look for? The top searched job categories for Part Time Data Management jobs in Virginia are:
Part Time Data Management 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 2 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.

Company Description

The client's infrastructure has plenty of areas in professional growth!