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Part Time Data Analytics Engineer Jobs in Michigan

Data Manager

Ann Arbor, MI · On-site

$32K - $37K/yr

Job Summary The Data Manager is a part-time role that serves as the primary point of coordination ... Extract, and analyze data from multiple sources to support planning, evaluation, and reporting.

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Company Overview Kett Engineering is a 60-year-old company with over 28 years of experience in the ... The role is part data analytics and part hands-on vehicle diagnostics. EVOC is an over the road ...

Senior Analysis Engineer

Farmington Hills, MI · On-site

$102K - $141K/yr

... data, including the testing to obtain these results To interpret and present simulation results to internal and external teams To be responsible for the quality of the simulation results, analysis ...

Civil Engineer in Training

Okemos, MI · On-site

$57K - $66K/yr

Perform data analysis and calculations to analyze and design civil system components. * Collect ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Civil Engineer in Training

Saint Louis, MI · On-site

$55K - $64K/yr

Perform data analysis and calculations to analyze and design civil system components. * Collect ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Part Time Data Analytics Engineer information

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

To thrive as a Part Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI is essential, with certifications in these tools considered advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills are important soft skills for this role. These skills ensure accurate data analysis, actionable insights, and efficient collaboration, which are critical for delivering value in a part-time capacity.

What does a Part Time Data Analytics Engineer do?

A Part Time Data Analytics Engineer is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They build and manage data pipelines, use programming languages like Python or SQL, and create dashboards or reports to visualize data trends. Working part time, they may focus on specific projects or support ongoing analytics needs, often collaborating with other team members to ensure data quality and actionable insights.

How does working as a part-time Data Analytics Engineer differ from a full-time position in terms of team collaboration and project ownership?

As a part-time Data Analytics Engineer, you'll often collaborate closely with full-time team members, focusing on specific tasks or projects that align with your available hours. You may be assigned to support data pipeline development, create dashboards, or perform data cleaning, but typically with a narrower project scope compared to full-time engineers. Communication and documentation are especially important, as you'll need to ensure smooth handoffs and updates for work that continues outside your scheduled hours. This structure provides flexibility but also requires proactive coordination to stay aligned with team goals and deadlines.
What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Part Time Data Analytics Engineer jobs in Michigan? For Part Time Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Part Time Data Analytics Engineer jobs? Cities in Michigan with the most Part Time Data Analytics Engineer job openings:
Data Manager

$32K - $37K/yr

Part-time

Medical, Dental, Life, Retirement

Posted 7 days ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

152nd of 612 rated colleges and universities


Job description

How to Apply
Please submit a cover letter and resume as a single submission describing how your experience and qualifications relate to the Data Manager position.
Who We Are
The Office of Academic Multicultural Initiatives (OAMI) supports and celebrates students' unique experiences, backgrounds, communities, and identities. Through a variety of programs, events, and campus-wide collaborations, we provide holistic support to help students achieve their academic goals while developing the skills and perspectives necessary for success in college and beyond. These initiatives support U-M's ongoing commitment to nurturing an intellectually and culturally diverse campus. We accomplish this through direct student service delivery. These services include success coaching, peer mentorship, student organization advising, student leadership development, and grant funding for student organizations and programs. The grant funding promotes academic and multicultural programming.
OAMI leads important university-wide multicultural programs. These programs include the Annual Dr. Martin Luther King, Jr. Symposium and the Native American Student Association Powwow. They also provide gateway services for first-generation and DACA/undocumented students. Additionally, they coordinate eight annual cultural graduation celebration ceremonies.
To learn more about what we do click here.
Job Summary
The Data Manager is a part-time role that serves as the primary point of coordination, management, reporting, and systems support for the Office of Academic Multicultural Initiatives (OAMI) SuccessConnect program. You will support student success initiatives by ensuring the accuracy, integrity, accessibility, and use of program data that informs operations, data flow, assessment, and planning.
The Data Manager works with program staff, ITS administrators, and the Senior Research and Evaluation Strategist. The Data Manager supports data collection processes, reports, and tracking systems. The Data Manager conducts the use of Salesforce/CRM and database platforms. The Data Manager assists staff in identifying data needs that enhance program implementation, student engagement, and continuous improvement. You will promote communication between program operations, data coordination, and data systems, helping translate operational needs into efficient processes that improve workflow, communication, and program outcomes. You will report to the Associate Director of OAMI. You will work a hybrid role in Ann Arbor.
This position is a 20 hour a week 6-month term limited position.
Responsibilities*
Data Management & Systems Administration (35%)
  • Serve as the primary administrator and resource for Salesforce and other program data systems.
  • Manage student recruitment, registration, participation, enrollment, and engagement tracking processes.
  • Maintain data systems that support coach-to-student matching, tutoring participation, and program communications.
  • Support staff in using data systems to improve workflow, scheduling, communication, and student engagement.
  • Ensure data quality by reviewing program documentation and maintaining accurate records.

Data Management & Reporting (25%)
  • Manage program data across multiple systems, ensuring data accuracy, integrity, accessibility, and compliance.
  • Develop recurring and ad hoc reports to support operations, assessment, and strategic decision-making.
  • Extract, and analyze data from multiple sources to support planning, evaluation, and reporting.
  • Monitor data quality, troubleshoot issues, and recommend process improvements.
  • Maintain reporting documentation, data definitions, and reporting schedules.

Program Support & Assessment (25%)
  • Partner with program staff to identify data needs and develop reporting solutions that support program implementation and continuous improvement.
  • Create dashboards, tracking tools, and reports to support program planning, assessment, and evaluation. Prepare data and reports for institutional and external reporting requirements. Recommend enhancements to data collection, reporting processes, and operational workflows.

Collaboration & Continuous Improvement (15%)
  • Collaborate with program staff and campus partners to improve data collection, reporting, and information-sharing processes.
  • Provide guidance on data entry standards, reporting practices, and system use.
  • Participate in planning initiatives, continuous improvement efforts, and special projects that support student success and promote the mission of OAMI.

Required Qualifications*
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field, or an equivalent combination of education and experience.
  • Three or more years of professional experience in data management, database administration, reporting, business intelligence, or data analysis.
  • Experience collecting, validating, managing, reporting data across multiple systems, while maintaining data accuracy, and integrity.
  • Proficiency with:
    • Salesforce CRM
    • Microsoft Excel (can perform complex functions)
    • Databases and data warehouse systems
    • Reporting tools such as Business Objects or similar platforms

Why Work at Michigan?
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
  • Generous time off
  • A retirement plan that provides two-for-one matching contributions with immediate vesting
  • Many choices for comprehensive health insurance
  • Dental insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
280391
Working Title
Data Manager
Job Title
Database Administrator Inter
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Part-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Equity Inclusion Aa
Department
Ofc Acad Multicultural Init
Posting Begin/End Date
7/22/2026 - 8/05/2026
Salary
$32,500.00 - $37,500.00
Career Interest
Information Technology

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About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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