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Part Time International Data Analyst 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 ...

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 ...

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 ...

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... international law. Not ready to apply? Join our Talent Community and sign up for job alerts.

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... international law. Not ready to apply? Join our Talent Community and sign up for job alerts.

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 ...

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 ...

Data Analyst

Washington, DC · On-site

$62K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... international law. Not ready to apply? Join our Talent Community and sign up for job alerts.

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

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 ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... international law. Not ready to apply? Join our Talent Community and sign up for job alerts.

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 ...

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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Part Time International Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 14, 2026, the average yearly pay for part time international 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.

How to make $1000 a week remote?

A part-time international data analyst can earn $1000 a week remotely by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, networking on freelance platforms, and maintaining consistent work can help achieve this income level, especially with specialized expertise and efficient time management.

Is 40 too late for data science?

For a Part Time International Data Analyst, age is not a barrier to entering data science. Many professionals transition into data roles later in life by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Success depends on your skills, experience, and dedication rather than age alone.

Can I do data analyst part-time?

Part-time data analyst positions are common and typically involve fewer hours than full-time roles, often ranging from 20 to 30 hours per week. These roles may require proficiency in tools like Excel, SQL, or data visualization software and can be suitable for individuals seeking flexible schedules or additional experience.

Can I work internationally as a data analyst?

Part-time international data analysts can work remotely for companies in different countries, often requiring strong skills in data analysis tools like Excel, SQL, or Python. Visa requirements, work permits, and local labor laws may affect eligibility, so it is important to verify legal and contractual considerations before working internationally.

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

AspectPart Time International Data AnalystPart Time Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; often requires language skillsDegree in Data Science, Statistics, or related field
Work EnvironmentGlobal companies, remote or international officesLocal or national companies, remote or office-based
Industry UsageInternational markets, cross-border projectsDomestic markets, local projects
Search & Comparison IntentUnderstanding international data roles, global opportunitiesLocal data roles, regional opportunities

The main difference between a Part Time International Data Analyst and a Part Time Data Analyst lies in their scope and work environment. International roles focus on global data sets, cross-border projects, and often require language skills, while local roles concentrate on regional data within a specific country or market. Both roles typically require similar technical skills and educational backgrounds, but their work context and industry focus differ.

What cities are hiring for Part Time International Data Analyst jobs? Cities with the most Part Time International Data Analyst job openings:
What are the most commonly searched types of International Data Analyst jobs? The most popular types of International Data Analyst jobs are:
What states have the most Part Time International Data Analyst jobs? States with the most job openings for Part Time International Data Analyst jobs include:
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.