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Student Shadow Data Analytics Jobs in Wisconsin (NOW HIRING)

Sr. Data Analyst

Waukesha, WI

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Experience supporting institutional effectiveness, enrollment analytics, student success, or ...

Sr. Data Analyst

Waukesha, WI ยท On-site

$86K - $108K/yr

... analytics, student success, or operational reporting initiatives. Technical Skills: โ€ข Experience ... data warehousing, ETL/integration processes, or cloud analytics platforms. โ€ข Knowledge of data ...

Data Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

We prioritize student success, access to education, and service in our work to educate well-rounded ... Minimum of 3 years' experience in data analytics or data solutions Demonstrated experience writing ...

Data Analysis Tutor

Milwaukee, WI ยท Remote

$18 - $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 ...

Data Analysis Tutor

Madison, WI ยท Remote

$18 - $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 ...

Co-Op Student

Stoughton, WI ยท On-site

$14.75 - $18.50/hr

Develop, automate, and maintain data analysis tools using MATLAB, LabView, and Excel to support test repeatability and reporting. Coordinate with Lab Operations, Product Engineers, and Functional ...

Co-Op Student

Stoughton, WI ยท On-site

$14.75 - $18.50/hr

Develop, automate, and maintain data analysis tools using MATLAB, LabView, and Excel to support test repeatability and reporting. Coordinate with Lab Operations, Product Engineers, and Functional ...

Co-Op Student

Stoughton, WI

$14.75 - $18.50/hr

Develop, automate, and maintain data analysis tools using MATLAB, LabView, and Excel to support test repeatability and reporting. Coordinate with Lab Operations, Product Engineers, and Functional ...

Co-Op Student

Stoughton, WI ยท On-site

$14.75 - $18.50/hr

Develop, automate, and maintain data analysis tools using MATLAB, LabView, and Excel to support test repeatability and reporting. Coordinate with Lab Operations, Product Engineers, and Functional ...

Co-Op Student

Stoughton, WI

$14.75 - $18.50/hr

Develop, automate, and maintain data analysis tools using MATLAB, LabView, and Excel to support test repeatability and reporting. Coordinate with Lab Operations, Product Engineers, and Functional ...

Cengage's portfolio of businesses supports student choice by providing a range of pathways that ... Analyze existing data flows, transformations, and dependencies to support future enhancements ...

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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 Wisconsin? For Student Shadow Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Student Shadow Data Analytics jobs in Wisconsin look for? The top searched job categories for Student Shadow Data Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Student Shadow Data Analytics jobs? Cities in Wisconsin with the most Student Shadow Data Analytics job openings:
Infographic showing various Student Shadow Data Analytics job openings in Wisconsin as of June 2026, with employment types broken down into 1% Internship, 54% Full Time, 41% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Instructor - Data & Analytics Faculty Lead

Instructor - Data & Analytics Faculty Lead

Waukesha County Technical College

Pewaukee, WI โ€ข On-site

$79K - $89K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Description Are you interested in guiding the next generation of data professionals. We are seeking a passionate & enthusiastic data professional to join our instructional team and help lead our Data & Analytics program. As a faculty program lead, you will provide instruction to students, assess student learning, and develop and maintain program curriculum to keep our courses industry relevant.

Our courses are hands-on and practical, teaching students what they need to know hit the ground running in data jobs on day one. Instruction delivery includes traditional face-to-face, accelerated hybrid, and virtual formats via Zoom, providing flexibility with daytime and occasional evening classes (up to two nights weekly). In this role you will actively engage with industry leaders through regular interactions with our advisory board and local employers, ensuring the curriculum aligns with evolving industry standards and workforce needs.

Characteristic Duties and Responsibilities (include, but not limited to) ESSENTIAL DUTIES AND RESPONSIBILITIES This position description should not be interpreted as all inclusive. It is intended to identify the major responsibilities and requirements of the job. The incumbents may be requested to perform job-related responsibilities and tasks other than those stated on this description.

Develop and maintain course curriculum. Align curriculum to departmental, state, and/or other applicable standards and outcomes. Plan, deliver and facilitate student learning, including providing ongoing quality feedback to students.

Assess student attainment of learning outcomes and critical life skills (both formative and summative), at the course, program, and college level. Collect, report, analyze, and use data to support continuous improvement at the course, program and college level. Use technology to facilitate student learning, college processes, and personal productivity.

Collaborate with internal and external stakeholders. Participate as a productive member of a team. Maintain college learning resources and equipment.

Participate in recruitment and retention activities. Pursue ongoing professional development, maintain occupational competency, and ensure knowledge of current laws and regulations related to the profession(s) in which instruction is provided. Minimum Qualifications REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES: Demonstrated working knowledge of programmatic discipline, curriculum development, effective teaching/learning principles, and evaluation Effective interpersonal communication skills - oral, written, active listening, and non-verbal cues Strong customer service skills which includes working with individuals from diverse backgrounds Ability to manage time, organize work and meet deadlines Ability to effectively integrate technology into instructional delivery and assessment Ability to establish and maintain positive working relationships with internal (staff, management, personnel) and external contacts (employers, clients, and vendors) Ability to apply critical thinking and problem-solving skills to work and/or the improvement of processes and/or systems Ability to work independently, as part of a team, and/or with minimal supervision Ability to prioritize work and adapt to changing priorities Intermediate level of proficiency with computer software applications such as word processing, database, spreadsheet, and presentation programs.

Knowledge of and familiarity with video-conferencing and technologies associated with adult-centric teaching and learning, as well as within specific programmatic disciplines, which may include web technologies, operating systems, online program tracking platforms, social media platforms, mobile technology tools, and/or AV/multimedia applications and equipment. Adept at problem-solving and troubleshooting technical errors. In-depth knowledge of SQL, data modeling/database design, database administration, data warehousing, data visualization/reporting, and data analysis.

EDUCATIONAL AND EXPERIENCE REQUIREMENTS: Seven (7) years of experience in a data-related career. One year of experience teaching/training technical IT courses. Bachelor's degree or above in any of the following areas (or any reasonably related area): Computer Science, Management Information Systems [MIS], Information Technology, Data Science, Business/Data Analytics.

Attain and maintain a WTCS teaching certificate. Supplemental Information This position supports the Business Information Technology department and includes program lead responsibilities for the Data & Analytics program in addition to teaching responsibilities. The program lead helps maintain the quality, relevance, and effectiveness of the program in consultation with the associate dean and the faculty who teach within the program.

Program Lead Responsibilities This position also includes serving as the Program Lead for the Data & Analytics program. The Program Lead plays an important role in helping the program stay current, relevant, and responsive to students and industry. In partnership with the Associate Dean and program faculty, this role supports curriculum updates, student success efforts, advisory board and employer engagement, adjunct onboarding, program evaluation, recruitment activities, and ongoing conversations about emerging tools, trends, and opportunities for program growth.

This position requires Wisconsin residence. Hours This is a full-time instructor position on a flexible year-round calendar. Teaching assignments include variable hours, including days and evenings.

Application Materials All applicants both (internal and external) must attach the following to the completed online application for consideration. Applications that do not have the required attachments will not be considered: Cover Letter Resume College transcripts (unofficial) *Finalists will have to provide official transcripts/license upon hire. Interviews Finalists will be invited to interview and do a teaching demo on Friday, July 24th, 2026.

Candidates will be notified via email if selected for interviews. Internal team members are encouraged to grow their careers at WCTC. To be eligible to apply for a new role, employees must be in their current position for at least six (6) months.

WCTC offers a wide range of outstanding benefits. Benefits include, but not limited to: Competitive compensation Comprehensive Benefits Package including health, dental, vision, life, long-term disability, supplemental life, flex spending accounts, and much more Generous time off and holiday schedule Eligibility in the Wisconsin Retirement System (ETF) Opportunities for professional growth and development (including tuition reimbursement, tuition waiver) Well-being activities to support personal and professional well-being Collaborative and supportive team environment Candidates must be legally authorized to work in the United States at the time of hire and maintain that authorization through employment. Verification of employment eligibility will be required upon hire.

WCTC does not provide employment-based visa sponsorship.