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Student Shadow Data Analytics Jobs in Michigan (NOW HIRING)

Archdiocese of Detroit

Admission Director

Warren, MI

Analyze enrollment trends, demographic data, feeder school performance, and market conditions to ... Coordinate and oversee student shadow day experiences. * Develop and maintain strong relationships ...

New

Goucher

$1.4K/wk

A. in Policy Analytics (MAPA) program.The course will be offered synchronously online (via Teams ... Students delve into key areas such as bias, fairness, privacy, surveillance, and discrimination, as ...

Goucher

$1.4K/wk

A. in Policy Analytics (MAPA) program.The course will be offered synchronously online (via Teams ... Students delve into key areas such as bias, fairness, privacy, surveillance, and discrimination, as ...

Varsity Tutors

Data Analysis Tutor

Ann Arbor, MI · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Data Analysis Tutor

Kalamazoo, MI · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Varsity Tutors

Data Analysis Tutor

Detroit, MI · Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Student Shadow Data Analytics information

What are Student Shadow Data Analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a Student Shadow in Data Analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

Do job shadows get paid?

Job shadows, including those in data analytics, are typically unpaid opportunities that allow students to observe professionals and learn about the field. Some organizations may offer stipends or incentives, but most shadowing experiences are voluntary and unpaid. It is important to confirm specific arrangements with the hosting organization.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not fully replace data analysts. Data analysts, including those in roles like Student Shadow Data Analytics, are needed to interpret complex data, develop insights, and make strategic decisions that require human judgment and domain knowledge. Skills in data visualization, statistical analysis, and tools like Python or R remain essential for these roles.

What are the key skills and qualifications needed to thrive as a Student Shadow in Data Analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.

Is 40 too late for data science?

The Student Shadow Data Analytics role involves learning data analysis skills, which can be pursued at any age. Many professionals successfully transition into data science later in life by gaining relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age.

Does job shadowing mean you got the job?

Job shadowing, such as in a Student Shadow Data Analytics role, is an observational experience that provides insight into the work environment and tasks but does not guarantee employment. It is a learning opportunity and does not imply that a job offer has been made or received.
What are popular job titles related to Student Shadow Data Analytics jobs in Michigan? For Student Shadow Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Student Shadow Data Analytics jobs in Michigan look for? The top searched job categories for Student Shadow Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Student Shadow Data Analytics jobs? Cities in Michigan with the most Student Shadow Data Analytics job openings:
Student Shadow Data Analytics jobs near you
Part-Time Trainer - Data Analytics

Part-Time Trainer - Data Analytics

Washtenaw Community College

Ann Arbor, MI • On-site

Full-time

Posted 20 days ago

Job description

Posting Details
Posting Details (Default Section)
Posting Number:
0603880
Position Title:
Part-Time Trainer - Data Analytics
Position is:
Part Time
Position Type:
Staff Position (Full Time/Part Time)
Department/Ofc.:
Workforce, Economic, & Community Development
Position Description:
Washtenaw Community College is seeking a qualified Part Time Trainer - Data Analytics to deliver short-term, noncredit data analytics training in a face-to-face instructional format. This role will serve as a subject matter expert and trainer for the data analytics portion of a workforce training pathway that may be paired with a separate bookkeeping training component.
The trainer will deliver existing WCC-developed Data Analytics Technician Training materials and provide practical instruction in topics such as data literacy, spreadsheet-based data analysis, data organization, data cleaning, formulas and functions, pivot tables, charts, dashboards, reporting, data visualization, and using data to support business decision-making. The trainer will help students build applied data skills that can be used in business, office, accounting support, administrative, workforce, and related entry-level roles.
Position Summary:
The Part Time Trainer - Data Analytics is responsible for delivering short-term, noncredit data analytics instruction using existing WCC-developed course materials. This role will focus on the face-to-face delivery of data analytics training and will support student learning through classroom instruction, demonstrations, hands-on practice activities, applied exercises, and skills-based review.
The trainer will work with Corporate Training & Lifelong Learning to deliver course content, support students during class sessions, communicate instructional needs, provide feedback on course materials, and help ensure that students understand how data analytics skills apply to real-world workplace settings. The role is focused on the data analytics training component and does not include responsibility for developing or delivering the bookkeeping portion of the combined training pathway.
Essential Duties include:
  • Serve as the subject matter expert and trainer for Data Analytics course content.
  • Deliver short-term, noncredit workforce training in a face-to-face instructional format using existing WCC-developed data analytics training materials.
  • Provide instruction on foundational data analytics concepts, including data literacy, data organization, data cleaning, spreadsheet analysis, formulas and functions, pivot tables, charts, dashboards, reporting, and data visualization.
  • Teach students how to use data to identify patterns, summarize information, communicate findings, and support business decision-making.
  • Facilitate hands-on learning activities, demonstrations, guided practice, applied exercises, review sessions, and skills-based assignments.
  • Use business scenarios, sample datasets, spreadsheet exercises, reporting examples, and applied projects to support student learning.
  • Help students understand how data analytics skills apply to workplace roles in business operations, office administration, accounting/bookkeeping support, data reporting, workforce analytics, and related fields.
  • Support students with varying levels of prior experience in data analytics, spreadsheets, business technology, and computer-based learning.
  • Communicate course expectations, learning outcomes, technology requirements, assignment expectations, and completion requirements clearly to students.
  • Provide feedback to students to support skill development and successful course completion.
  • Maintain a safe, inclusive, and professional learning environment for adult learners, workforce training participants, career changers, and entry-level students.
  • Communicate classroom, technology, software, course material, and student support needs to Corporate Training & Lifelong Learning staff.
  • Review existing course materials and provide feedback or recommendations for improvement based on student needs, course delivery experience, and workforce expectations.
  • Coordinate with Corporate Training & Lifelong Learning staff regarding course delivery, scheduling, materials, software access, classroom needs, and student support.
  • Follow WCC policies, procedures, and expectations for part-time trainers.
  • Other duties as assigned

Related Duties:
  • Recommend updates to instructional examples, datasets, exercises, demonstrations, and course resources as needed.
  • Provide input on course delivery format, instructional flow, classroom technology needs, and future course improvements.
  • Support alignment between data analytics instruction and related workforce training pathways, including a separate bookkeeping training component as appropriate.
  • Communicate any issues with course materials, software access, student readiness, or classroom technology before or during course delivery.
  • May assist with course improvement feedback after course offerings.
  • May support future course enhancements based on student needs, workforce demand, employer feedback, and industry trends.
  • Utilize technology, including AI-enabled tools and software where appropriate, to support the effective performance of assigned duties, enhance productivity, improve communication and information management, support decision-making, and other responsibilities, while ensuring compliance with confidentiality requirements, institutional policies, procedures, and applicable regulations.

Hours/Schedule:
  • This is a part-time training assignment scheduled based on course offerings, course development needs, and department needs.

Work Environment:
  • Instruction will primarily take place in a standard classroom or computer lab with an instructor station, projector or classroom display, internet access, and seating for students. The course may require access to computers, spreadsheet software, data files, sample datasets, digital instructional materials, and other classroom technology needed for hands-on data analytics instruction.

Physical Demands:
  • The position generally requires the ability to teach in a classroom or computer lab setting, operate instructional technology, stand or walk during instruction, communicate clearly with students, and support students while they complete computer-based learning activities.
  • The trainer may occasionally need to transport, set up, or handle printed materials, classroom resources, or lightweight instructional equipment

Minimum Qualifications:
Minimum Required Knowledge, Skills and Abilities:
  • Demonstrated knowledge of data analytics concepts, spreadsheet-based analysis, data organization, reporting, and business decision-making.
  • Experience using Microsoft Excel, Google Sheets, or similar spreadsheet tools for data organization, formulas, functions, charts, pivot tables, dashboards, and reporting.
  • Ability to deliver existing WCC-developed data analytics training materials in a clear, practical, and engaging face-to-face instructional format.
  • Ability to teach foundational data analytics concepts to students with varying levels of prior experience.
  • Ability to facilitate hands-on learning activities, demonstrations, applied exercises, and skills-based practice.
  • Ability to connect data analytics skills to real-world workplace applications in business operations, office administration, accounting/bookkeeping support, reporting, workforce analytics, and related roles.
  • Strong communication, organization, and training facilitation skills.
  • Ability to maintain a safe, inclusive, and professional learning environment.
  • Basic computer skills and ability to use classroom technology, digital instructional materials, spreadsheet tools, and internet-based resources.
  • Ability to work collaboratively with WCC staff regarding course delivery, scheduling, materials, software access, and student support.
  • Ability to use workplace technology relevant to the position, including the capacity to learn and appropriately leverage emerging AI-supported tools. Ability to assess the accuracy and reliability of AI-generated content, maintain confidentiality, and apply sound judgment and ethical practices in the use of technology.

Preferred Qualifications:
Additional Preferred Qualifications:
  • Prior teaching, training, coaching, or instructional experience.
  • Experience teaching or training adult learners, noncredit students, workforce training participants, career changers, or entry-level learners.
  • Experience using Power BI, Tableau, or other data visualization/business intelligence tools.
  • Experience developing or adapting workforce training curriculum, instructional materials, assessments, datasets, or learning activities.
  • Experience working in data analytics, business operations, accounting support, office administration, finance, workforce reporting, or a related field.
  • Experience helping learners apply data skills to business, financial, administrative, or workforce-related scenarios.
  • Knowledge of current data analytics tools, business technology trends, and employer expectations for entry-level data-related roles.

Posting Date:
05/28/2026
Closing Date:
07/05/2026
Open Until Filled
No
Special Instructions to Applicants:
Our college strives to make a positive difference in people's lives through accessible and excellent educational programs and services.
Washtenaw Community College seeks to recruit and retain a productive workforce as a reflection of our commitment to serve our community and to build on the success of our students, faculty & staff. Washtenaw Community College is committed to creating a welcoming environment.
Washtenaw Community College is an Equal Opportunity Employer.
Salary/Hourly Rate:
$60
Salary Comments:

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