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Part Time Weekend 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.

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 ...

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 ...

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 ...

Booz Allen Hamilton, Inc.

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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

San Diego, CA · On-site

$61K - $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 ...

Booz Allen Hamilton, Inc.

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 ...

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 ...

Amdex Corporation

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

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All JobsData Analyst JobsPart Time Weekend Data Analyst Jobs

Part Time Weekend Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 13, 2026, the average yearly pay for part time weekend 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 some common challenges faced by part-time weekend data analysts, and how can they be addressed?

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

What are part time weekend data analysts?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

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 industry. Salaries can vary based on skills with tools like Excel or SQL and the complexity of the analysis required.

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

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

Can I do data analyst part-time?

A part-time data analyst position is common and typically involves working fewer hours than full-time roles, often on weekends or evenings. These roles may require proficiency in tools like Excel, SQL, or Python, and can be suitable for students or professionals seeking flexible schedules.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing insights. Data analysts often use AI and machine learning tools to enhance their work, but human judgment and domain expertise are still critical components of the job. For part-time weekend data analysts, understanding how to leverage AI tools can improve efficiency, but they are unlikely to fully replace the need for skilled analysts.

Do data analysts work on weekends?

Data analysts, including part-time weekend roles, often work during regular business hours, but some positions may require weekend work to meet project deadlines or support 24/7 operations. Weekend work depends on the employer, industry, and specific job responsibilities, and part-time roles may have flexible schedules.
What cities are hiring for Part Time Weekend Data Analyst jobs? Cities with the most Part Time Weekend Data Analyst job openings:
What are the most commonly searched types of Weekend Data Analyst jobs? The most popular types of Weekend Data Analyst jobs are:
Part Time Weekend Data Analyst 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 5 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.