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Part Time Data & Analytics Jobs (NOW HIRING)

The Midtown Group

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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 ... Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations ...

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 ...

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 ...

Vendelux Inc

Part time Data Intern

New York, NY · On-site

For candidates with the right background, projects may include data analytics and insights using SQL. Key Responsibilities * Assist with event research to identify and validate key data inputs for AI ...

DEFENSEWERX

Part-time Data Specialist

Vicksburg, MS · On-site

$40 - $48/hr

As a part-time member of the ERDCWERX (EWX) Innovation Hub administrative team in Vicksburg ... analysis, and data visualization preferred. * Ability to manage multiple complex projects in a fast ...

DEFENSEWERX

Part-time Data Specialist

Vicksburg, MS · On-site

$40 - $48/hr

As a part-time member of the ERDCWERX (EWX) Innovation Hub administrative team in Vicksburg ... analysis, and data visualization preferred. * Ability to manage multiple complex projects in a fast ...

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 ...

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 ...

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Part Time Data Analytics information

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

As of Jun 17, 2026, the average hourly pay for part time data & analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How much do part-time data analysts make?

Part-time data analysts typically earn between $20 and $40 per hour, depending on experience, location, and industry. Salaries can vary based on skills in tools like Excel, SQL, or Python, and whether the role requires specialized knowledge or certifications.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or consulting capacities. Many companies offer part-time or flexible schedules for data analysis positions, which may require proficiency in tools like Excel, SQL, or Python. Availability depends on the employer's needs and the specific job requirements.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment and contextual understanding crucial in the analytics process.

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

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

Is 40 too late for data science?

Part Time Data & Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Gaining relevant certifications, such as in SQL or Python, and building a portfolio can help demonstrate capability regardless of age.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
More about Part Time Data Analytics jobs
What cities are hiring for Part Time Data & Analytics jobs? Cities with the most Part Time Data & Analytics job openings:
What are the most commonly searched types of Data & Analytics jobs? The most popular types of Data & Analytics jobs are:
What states have the most Part Time Data & Analytics jobs? States with the most job openings for Part Time Data & Analytics jobs include:
What job categories do people searching Part Time Data & Analytics jobs look for? The top searched job categories for Part Time Data & Analytics jobs are:
Part Time Data Analytics jobs near you
Infographic showing various Part Time Data & Analytics job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Part-Time Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

Posted 8 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.