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Part Time Data Analytics Engineer Jobs in Michigan

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 ...

We are seeking a highly analytical and results-oriented Senior Data Scientist to drive ... Required Qualifications Master's degree in Data Science, Statistics, Computer Science, Engineering ...

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 ...

$65K - $84K/yr

Utilize Excel, Minitab, or similar tools to organize and analyze data. * Assist with capability ... Quality Schedule: Part-time Job Level: Individual Contributor Job Type: Internship / Co-Op Shift:

As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data ... Arcadis offers benefits for full time and part time positions. These benefits include medical ...

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 ...

Starting Hourly Rate: $19.63 Schedule: Part-time (16-29 hours per week) for a duration of 6-10 ... Familiar with R software for data analysis or other computer programming experience View Additional ...

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 ...

Starting Hourly Rate: $19.63 Schedule: Part-time (16-29 hours per week) for a duration of 6-10 ... Familiar with R software for data analysis or other computer programming experience View Additional ...

Inspection Data Analysis -- Analyze NDT data trends, defect signatures, and system performance ... Bachelor's degree in Mechanical, Industrial, Manufacturing Engineering, Automation Engineering, NDT ...

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Part Time Data Analytics Engineer information

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.

What are the key skills and qualifications needed to thrive as a part time data analytics engineer?

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.

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 job categories do people searching Part Time Data Analytics Engineer jobs in Michigan look for?

The top searched job categories for Part Time Data Analytics Engineer jobs in Michigan 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:

College Data Analyst, Accreditation & Learning Assessment - CHHS

Ypsilanti, MI • On-site

Eastern Michigan University
Colleges, Universities, and Professional Schools • 501 - 1,000 employees

Full-time, Part-time

Posted 13 days ago


Eastern Michigan University rating

6.5

Company rating: 6.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

519th of 631 rated colleges and universities


Job description

College Data Analyst, Accreditation & Learning Assessment - CHHS

Apply now Job no: 495607
Work type: Staff Full Time
Location: Ypsilanti
Categories: Academic & Student Affairs

Title: College Data Analyst, Accreditation & Learning Assessment - CHHS

Employee Classification: PT

Pay Grade: PT 08

Division: Academic and Student Affairs

Subdivision: Health and Human Service

Department: College of Health and Human Serv

Campus Location: Main Campus

General Summary

Coordinate and implement the development and maintenance of databases, including analyzing and reporting data needed to support accreditation procedures and processes as well as student learning assessment, planning, and improvement activities within the assigned college.

Principal Duties and Responsibilities

  • Support accreditation procedures and processes for the assigned college, including compiling, collecting, and analyzing information and data for statistical reports.
  • Develop and maintain databases of accreditation-related information.
  • Support faculty and staff in their work to identify, store, and analyze student learning assessment data.
  • Support faculty and staff in database use, data analysis, and data maintenance.
  • Manipulate and create statistical reports from SCT Banner, EMU, and other appropriate information systems for accreditation purposes.
  • Identify, gather, and organize data to provide accurate and timely information.
  • Serve as the key contact for staff and faculty for data reporting.
  • Meet with faculty, staff, and appropriate accrediting body representatives, as needed, regarding assessment and accreditation issues.
  • Conduct or participate in workshops, committees, and conferences designed for the area of assignment.
  • Serve as liaison to other departments and colleges within EMU for accreditation purposes.
  • Perform technical data support duties as assigned.

Minimum Qualifications:

Knowledge of statistical analysis, quantitative and analytical processes, data collection/management, and excellent organizational communication skills acquired through the completion of a bachelor's degree in business administration, technology, engineering, education or a related field, is necessary. 

A minimum of 3 years of experience with database development and maintenance is required.

Ability to communicate both orally and in writing (including electronically) at a high level of competency is required.

Ability to handle multiple tasks efficiently with attention to detail and to meet deadlines is essential.

Knowledge and success in implementation of models, processes and techniques used to develop a continuous improvement environment is necessary.

Ability to work in a team environment is necessary.

Preferred Qualifications:

A master's degree in these or a related field, is preferred.

Knowledge of EMU data and electronic systems and programs in the assigned college is preferred.

Experience with an accreditation process is preferred.

Special Instructions:

N/A

Appointment Percentage:

92%

Advertised: 26 Aug 2026 Eastern Daylight Time
Applications close: 09 Sep 2026 Eastern Daylight Time

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