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Part Time Data Analyst Reddit Jobs (NOW HIRING)

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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.

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 ...

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 ...

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 ...

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 ...

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 ...

We are seeking to add a part-time, hybrid, Data Analyst to support our programs and assist with identifying collaborative solutions. This position will required some in-office presence and support.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Share Data Analyst The Opportunity: The Data Analyst applies their technical and analytical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Analyst

San Diego, CA · On-site

$61K - $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 ...

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Part Time Data Analyst Reddit information

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$34K

$82.6K

$136K

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

As of Jun 17, 2026, the average yearly pay for part time data analyst reddit 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.

Is data analytics still worth it in 2026?

Data analytics remains a valuable skill for part-time data analysts in 2026, as organizations continue to rely on data-driven decision making. Proficiency in tools like Excel, SQL, and visualization software, along with strong analytical skills, ensures continued demand in various industries. The role offers flexibility and opportunities for remote work, making it a viable career option.

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

AspectPart Time Data AnalystPart Time Data Scientist
Required CredentialsBachelor's degree in related field, some certificationsBachelor's or Master's in Data Science, statistics, or related
Work EnvironmentRemote or office-based, project-focusedRemote or office-based, research and development
Industry UsageBusiness, marketing, financeTech, healthcare, finance, research
Common Search IntentPart Time Data Analyst Reddit vs Part Time Data Scientist

Part Time Data Analysts typically focus on interpreting data to support business decisions, requiring basic analytical skills and certifications. Part Time Data Scientists often handle more complex modeling and statistical analysis, usually with advanced degrees. While both roles can be remote and are used across various industries, Data Scientists generally require a higher level of technical expertise. The comparison helps job seekers understand the skills and expectations for each role.

Is 40 too late for data science?

Part-time data analysts can enter the field at any age, including 40, especially if they have relevant skills in programming, statistics, and tools like Excel or SQL. Many professionals successfully transition into data science or analytics later in their careers by gaining experience through online courses, certifications, and practical projects.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, providing insights, and making strategic decisions. The role of a data analyst remains valuable, especially as skills in data visualization, domain knowledge, and critical thinking are essential for effective analysis and decision-making.

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 typically require skills in data analysis tools like Excel, SQL, or Python, and may offer flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Analyst Reddit jobs
What cities are hiring for Part Time Data Analyst Reddit jobs? Cities with the most Part Time Data Analyst Reddit job openings:
What are the most commonly searched types of Data Analyst Reddit jobs? The most popular types of Data Analyst Reddit jobs are:
What states have the most Part Time Data Analyst Reddit jobs? States with the most job openings for Part Time Data Analyst Reddit jobs include:
What job categories do people searching Part Time Data Analyst Reddit jobs look for? The top searched job categories for Part Time Data Analyst Reddit jobs are:
Infographic showing various Part Time Data Analyst Reddit job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% 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 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.