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Student Shadow Data Analytics Jobs in Michigan (NOW HIRING)

Goucher

$1.40K/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

$1.40K/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

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 ...

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 ...

Padagis LLC

Internship, Data Science

Wyoming, MI · Hybrid

$27/hr

Incoming juniors, seniors or graduate students * Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business ...

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Student Shadow Data Analytics information

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.

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 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 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.

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
Data Analytics Subject Matter Expert

Data Analytics Subject Matter Expert

Cleary University

Howell, MI • On-site

Contractor

Posted 28 days ago

Job description

Data Analytics Subject Matter Expert
Position Description and Responsibilities
Cleary University invites candidates to apply for the contract position of Data Analytics Subject Matter Expert (SME). The academic team at Cleary University seeks a dynamic student-focused expert possessing a successful academic and professional record of championing a strong, vibrant, and relevant undergraduate educational experiences of exceptional quality and relevance to the current and future workforce.
We are looking for a Data Analytics SME who possesses relevant professional, teaching, and curriculum development experience, with particular expertise in one or more of the following areas:
  • Data-driven decision making
  • Data analysis with SQL
  • Data analysis with R
  • Data analysis with Python

Fulfilling Cleary University's Mission to "provide an intimate and inclusive, student-centered business education that instills the values of The Cleary Mind™ in our community", the Data Analytics SME works closely with leadership, faculty, and instructional design personnel to design and create courses to be offered to our student populations, which are comprised of traditional students, student athletes, and returning adult students across a variety of instructional modalities.
The Data Analytics SME combines their formal education, professional knowledge, and real-world experience to guide content development in the course design process. Working closely with academic leadership, faculty, and instructional designers, the Data Analytics SME designs, creates, and selects one or more of the following program and course elements:
  • Course materials (e.g., textbooks, articles, videos, and online course curations).
  • Course assignments (e.g., discussion questions, presentations, applied analyses, and culminating projects).
  • Course tool selection to support virtual student projects and assignments.
  • With the course offered online in a six-week format, course materials and assignments must be accessible to students and faculty online.

With the assistance of an instructional designer, the Data Analytics SME will ensure Cleary students explore appropriate content and apply their knowledge to meet course-level outcomes and create weekly learning objectives branched out from the main course objectives. The Data Analytics SME will consult with leadership, faculty, and instructional designers to ensure consistency of new development with existing Cleary programs and courses, along with key elements of Cleary's plan for the assessment of student learning.
The contract position can be remote or based in the Howell, MI, area. Applications will be reviewed immediately upon receipt and will continue to be accepted until the contract position is filled.
Expected Time Commitments and Potential Compensation
The Data Analytics SME will work directly with a Cleary instructional designer throughout the term of the contract project, including the following time commitments and potential compensation:
  • Participate in a weekly meeting with an instructional designer to discuss program and course development progress (ranging from 6 to 8 weeks per course, with each meeting of 30 to 60 minutes duration).
  • Research, develop, or revise course materials (ranging from 3 to 5 hours each week).
  • Participate in consultation with leadership and faculty (ranging 1 to 2 hours total).
  • Potential Compensation (depends on the SME contract specifics)
    • Design and develop content for a course is $800 per course

Qualifications and Required Skills
  • An earned master's degree from an institutionally (i.e., regionally) accredited institution in data analytics, statistics, or a closely-related discipline.
  • A minimum of five years of current and relevant professional experience in data analytics.
  • A minimum of one year teaching experience teaching undergraduate data analytics courses at the university/college level.
  • Ability to use Microsoft Office, Google Docs, AI models, and other software programs for communicating, creating, and maintaining spreadsheets, reports, and presentations.
  • Ability to embrace The Cleary Mind™ as the University's approach to building each student's professional skills required by the workforce and job market.
  • Ability to apply professional experiences to inform and inspire students about workforce projects, situations, and challenges.

Employment Classification: The Data Analytics SME will be a contract employee.
Reports To: Cleary University Provost, with direct working relationship with the Manager of Instructional Design
Available: October 2025
Application Instructions
Visit https://cleary.edu/about-cleary/employment/ to submit an application for the position.
A complete application includes: 1. A separate cover letter that addresses the position responsibilities, required qualifications, and required skills, and 2. A current resume/CV. Candidates moving forward in the interview process may be asked to provide the contact information for three professional references with their e-mails, telephone numbers, and relationships to the candidate.
Diversity
Cleary University is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. Cleary University is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match their skills and capabilities.

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