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Part Time Data Analyst Jobs (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.

New

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Remex, Inc

Data Analyst

Skillman, NJ

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

UNC-Chapel Hill

Data Analyst

Chapel Hill, NC · On-site

$25/hr

Position Summary The UNC Kenan Institute is seeking a temporary, part-time Data Analyst with experience in data visualization tools such as Tableau, Power BI, and Datawrapper. In this role, you will ...

NorthEastern

Temporary Analyst

Boston, MA · Remote

$38/hr

About the Opportunity The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on ...

Northeastern University

Temporary Analyst

Boston, MA · On-site

$38/hr

About the Opportunity The Department of Public Health and Health Sciences is seeking a temporary, part-time Data Analyst to join the Crookes Lab. This role supports a research project focused on ...

Booz Allen Hamilton, Inc.

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Community Health Care Inc

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Booz Allen Hamilton, Inc.

Data Analyst

Charlottesville, VA · On-site

$61K - $141K/yr

Share Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and analytical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Complete Care NJ

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Booz Allen Hamilton, Inc.

Data Analyst

Washington, DC · On-site

$62K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Washington, DC

$62K - $141K/yr

Data Analyst The Opportunity: As data analyst, you love diving into data and turning it into ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

Chapman University

Data Analyst

Orange, CA · On-site

$72K - $75K/yr

Posting Details Position Information Position Title Data Analyst Position Type Regular Job Number SA77024 Full or Part Time full-time 40 hours weekly Fair Labor Standard Act Classification Exempt ...

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Part Time DATA Analyst information

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$136K

How much do part time data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for part time data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are part time data analysts?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

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

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

What Does a Part-Time Data Analyst Do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part-time data analyst typically collaborate with full-time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
More about Part Time DATA Analyst jobs
What cities are hiring for Part Time Data Analyst jobs? Cities with the most Part Time Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Part Time Data Analyst jobs? States with the most job openings for Part Time Data Analyst jobs include:
What job categories do people searching Part Time Data Analyst jobs look for? The top searched job categories for Part Time Data Analyst jobs are:
Part Time DATA Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Part-Time Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

Posted yesterday

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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.