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Part Time Data Analyst Jobs in Detroit, MI (NOW HIRING)

Learning Care Group

Sr Compensation Analyst

Novi, MI

$78K - $101K/yr

Oversees participation in compensation surveys, ensuring data accuracy and interpreting survey ... Part-time status on their date of hire, which include medical, dental, vision, healthcare & ...

Learning Care Group

Sr Compensation Analyst

Novi, MI

$78K - $101K/yr

Oversees participation in compensation surveys, ensuring data accuracy and interpreting survey ... Part-time status on their date of hire, which include medical, dental, vision, healthcare & ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Detroit, MI

Part Time Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

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

As of Aug 21, 2026, the average yearly pay for part time data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

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 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.

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.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Detroit, MI?

The most popular types of Data Analyst jobs in Detroit, MI are:

What are popular job titles related to Part Time Data Analyst jobs in Detroit, MI?

For Part Time Data Analyst jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Detroit, MI look for?

The top searched job categories for Part Time Data Analyst jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Part Time Data Analyst jobs?

Cities near Detroit, MI with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Management and Program Analyst

Veterans Benefits Administration (VBA)

Detroit, MI

$90K/yr

Full-time, Part-time

Posted 7 days ago

Job description

This position is located in the Department of Veterans Affairs (VA), Veterans Benefits Administration (VBA), Office of Human Capital Services (HCS), Workforce Planning & Strategic Analysis (WPSA) Directorate and reports to the Chief, Data Analytics. HCS provides the full range of Human Resources management services to include the development and operations of the Human Capital Data Warehouse, analyzing and reporting data to enhance effectiveness and efficiency of HCS business operations.Qualifications:To qualify for this position, applicants must meet all requirements by the closing date of this announcement:08/25/2026.
TIME-IN-GRADE REQUIREMENT: Applicants who are current Federal employees and have held a GS grade any time in the past 52 weeks must also meet time-in-grade requirements.
  • For a GS-13 position you must have served 52 weeks at the GS-12 level.
  • For a GS-14 position you must have served 52 weeks at the GS-13 level.

The grade may have been in any occupation, but must have been held in the Federal service. An SF-50 that shows your time-in-grade eligibility must be submitted with your application materials.
MINIMUM QUALIFICATION REQUIREMENT: You may qualify based on your experience as described below:
GS-13 Grade Level:
  • Specialized Experience: Applicants must demonstrate one year of specialized experience equivalent to the GS-12 level. To be considered qualified, applicants must demonstrate experience in at least three (3) of the following:
    • Analyzing operational, performance, or workload data to assess program effectiveness.
    • Assisting with or implementing improvements to business processes, management systems, or organizational operations.
    • Using analytical tools (e.g., Structured Query Language (SQL), Power BI, Tableau, business intelligence platforms, statistical software, or similar tools) to analyze and interpret data.
    • Reviewing data to identify trends, problem areas, inefficiencies, or inconsistencies in operations.
    • Preparing reports, dashboards, or analytical summaries to communicate findings and support management decision-making.
    • Applying knowledge of VA benefits laws, regulations, policies, and procedures in the analysis or administration of VA benefits programs.
GS-14 Grade Level:
  • Specialized Experience: Applicants must demonstrate one year of specialized experience equivalent to the GS-13 level. To be considered qualified, applicants must demonstrate experience in at least four (4) of the following:
    • Evaluating program effectiveness by analyzing operational, performance, or workload data and recommending improvements.
    • Leading or implementing improvements to complex business processes, management systems, or organizational operations.
    • Using analytical tools (e.g., Structured Query Language (SQL), Power BI, Tableau, business intelligence platforms, statistical software, or similar tools) to extract, analyze, and interpret data.
    • Identifying trends, root causes, inefficiencies, risks, or inconsistencies through data analysis and developing recommendations to improve program or operational performance.
    • Developing reports, dashboards, or other analytical products to support leadership decision-making.
    • Applying knowledge of VA benefits laws, regulations, policies, and procedures to evaluate programs, resolve complex issues, or support operational decisions.

Volunteer Experience: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Full vs. Part-Time Employment: Full-time employment is considered to be at least 35 hours per week. Part-time experience will be credited on a pro-rated basis; when including part-time employment in your resume you must specify the average hours worked per week.
Physical Requirements: The work is primarily sedentary, although some slight physical effort may be required.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website at http://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.Education:There is no education substitution for the GS-13 and GS-14 grade levels.Employment Type: OTHER

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