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Student Shadow Data Analytics Jobs in Wisconsin (NOW HIRING)

Data Science Tutor

Madison, WI ยท Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Science Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

IS Data Services Senior

Madison, WI ยท On-site

$68K - $99K/yr

Position Summary This position provides unique section expertise in data retrieval, analysis, and ... 1 students seeking STEM-OPT extension. Any appointment made will be contingent on the applicant ...

Business Analytics Tutor

Madison, WI ยท Remote

$18 - $40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven ...

Business Analytics Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven ...

Capacity to interpret and present data clearly to stakeholders and use analytics to drive decision-making. * Excellent verbal, written, and presentation skills tailored to diverse audiences (students ...

Dean of Admissions

Beloit, WI ยท On-site

$101K - $125K/yr

Capacity to interpret and present data clearly to stakeholders and use analytics to drive decision-making. * Excellent verbal, written, and presentation skills tailored to diverse audiences (students ...

Dean of Admissions

Beloit, WI ยท On-site

$101K - $125K/mo

Capacity to interpret and present data clearly to stakeholders and use analytics to drive decision-making.Excellent verbal, written, and presentation skills tailored to diverse audiences (students ...

Showing results 41-60

Student Shadow Data Analytics information

What is a 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.

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 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 August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 74% In-person, and 26% Remote job distribution.

Chief Data and Technology Strategist (Green Bay)

University of Wisconsin-Green Bay

Green Bay, WI โ€ข On-site

$170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Position Title

Chief Data and Technology Strategist

Job Category

Academic Staff

Employment Type

Regular

Job Profile

Inst Policy Analyst II (Inst)

Job Duties

The Chief Data and Technology Strategist (CDTS) serves as the universityโ€™s senior executive responsible for advancing institutional effectiveness through strategic leadership of emerging technologies, information technology, institutional research, enterprise data governance, and analytics. As a member of the Chancellorโ€™s Cabinet, the CDTS collaborates with executive leadership to align technology, data strategy, and operational priorities with the universityโ€™s mission, strategic plan, enrollment goals, student success initiatives, and fiscal sustainability. The CDTS provides leadership for enterprise systems, cybersecurity, digital transformation, and data-informed decision-making. This position fosters a culture of ingenuity, transparency, accountability, and continuous improvement while ensuring the integrity, accessibility, and strategic use of institutional data.

Key Job Responsibilities
  • Project Management and Operational Excellence - Promote best practices in project management, change management, and process optimization.
  • Prioritize and coordinate institution-wide initiatives involving technology implementation, operational redesign, and process improvement.
  • Facilitate cross-functional collaboration to ensure timely completion of strategic projects within scope and budget.
  • Institutional Research and Data Analytics - Ensure data governance standards, data quality, integrity, and accessibility across university systems.
  • Direct institutional research, reporting, and analytics functions.
  • Oversee the collection, validation, interpretation, and dissemination of institutional data for strategic planning, accreditation, compliance, enrollment management, and student success initiatives.
  • Develop enterprise dashboards, key performance indicators, and predictive analytics tools to support institutional priorities.
  • Strategic Leadership - Promote a culture of evidence-based decision-making across all university divisions.
  • Serve as a strategic advisor to the Chancellor and Cabinet on generative artificial intelligence and other emerging technologies, data governance, analytics, institutional effectiveness, and digital transformation initiatives including artificial intelligence and quantum computing.
  • Develop and implement a comprehensive institutional data and technology strategy aligned with university priorities and accreditation requirements.
  • Lead enterprise-wide modernization efforts that improve operational efficiency, student services, academic support, and administrative effectiveness.
  • Provides analysis and consultation on a variety of administrative-related matters. Applies subject matter knowledge to support institutional decisions and policymaking through research and fact-finding combined with an understanding of applicable business systems
  • Leadership and Administration - Represent the university in system-wide, regional, and national technology and higher education organizations.
  • Supervise Chief Information Officer and additional professional staff from institutional research, AI, emerging technologies and analytics.
  • Develop and manage departmental budgets and resource allocation strategies.
  • Foster professional development, and organizational effectiveness within assigned areas.
  • Collaboration and Communication - Support transparency and shared governance through collaborative planning and stakeholder engagement.
  • Partner with academic and administrative leaders to identify opportunities for innovation and improved service delivery.
  • Communicate complex technical and analytical concepts clearly to diverse stakeholders.
  • Information Technology Leadership - Establish and maintain cybersecurity protocols and compliance with applicable federal, state, and higher education regulations.
  • Oversee all university information technology operations, including infrastructure, enterprise applications, cybersecurity, networking, instructional technologies, cloud services, and user support.
  • Ensure reliable, secure, and innovative technology environments that support teaching, learning, research, and administration.
  • Lead long-range IT planning, budgeting, risk management, disaster recovery, and business continuity initiatives.
Department

Chancellor

Compensation

Minimum compensation of $170,000

Required Qualifications
  • Bachelorโ€™s degree in technology, data, higher education, business, computer science, or related field at time of application.
  • Minimum of three years of progressively responsible leadership experience.
  • Knowledge and experience using artificial intelligence and willingness to lead emerging technologies.
  • Experience overseeing information technology systems, data governance, cybersecurity, analytics, and institutional reporting.
  • Demonstrated success in budget management, personnel supervision, and/or cross functional collaboration.
Preferred Qualifications
  • Master's degree in a related field.
  • Preferred leadership experience in technology administration, institutional research, analytics, or enterprise operations in a large organization.
  • Understanding of accreditation, compliance, and regulatory reporting requirements.
  • Experience implementing enterprise resource planning (ERP) systems, data warehouses, business intelligence platforms, and cloud technologies.
  • Professional certifications related to project management, cybersecurity, data analytics, or information technology leadership.
Conditions Of Appointment

Some travel is required for necessary meetings, workshops, conferences, etc. Occasional evening and and/or weekend work is expected and will be assigned by supervisor as needed. This position may have the option to work on-campus or a hybrid schedule, subject to approved telecommuting request. The home campus of this position is Green Bay and the successful candidate may occasionally be required to travel to or work at the Marinette, Sheboygan or Manitowoc Campus, based on operational needs. Position is a full-time Limited appointment. A pre-employment education check which includes, but is not limited to, the verification of academic credentials will be conducted on the finalist(s). A criminal conviction investigation will be conducted on the finalist(s) and if there is prior work history within the last 7 years with Universities of Wisconsin, a personnel file review check for employee misconduct. In compliance with the Wisconsin Fair Employment Act, the University does not discriminate on the basis of arrest or conviction record. The University of Wisconsin-Green Bay does not offer H-1B or other work authorization visa sponsorship for this position. Candidates must be legally authorized to work in the United States at the time of hire and maintain work authorization throughout the employment term.

The Successful Candidate

The successful candidate will be expected to work inclusively and respectfully within a diverse campus community and practice civility in the workplace. The University welcomes applicants who are dedicated to the appreciation and promotion of inclusivity and equity as crucial components in the pursuit of organizational excellence. In addition, the successful candidate will have strong oral, written, interpersonal, and organizational skills, demonstrated integrity and strong leadership, and the willingness to work independently and as part of a collaborative team. The University invites applicants who are dedicated to enriching the quality of life for students and the community by embracing the educational value of diversity, promoting environmental sustainability, encouraging engaged citizenship, and serving as an intellectual, cultural, and economic resource.

Benefit Details
  • The Universities of Wisconsin provides an excellent benefits package to meet the diverse needs of its employees.
  • For benefits eligible positions, this includes several health insurance options, with annual deductibles as low as $250/individual and $500/family.
  • Our benefits package also includes dental, vision, several life insurance options, AD&D and Accident insurance and Flexible Spending and Health Savings Accounts.
  • We participate in the Wisconsin Retirement System (WRS), where employer contributions begin immediately, and employees are fully vested after 5 years of service.
  • The Universities of Wisconsin also provides supplemental retirement savings programs including a 403(b) and Deferred Compensation.
  • In addition, eligible employees receive several types of paid leave benefits, which are prorated for employees working less than 100%.
  • This includes 9 legal holidays, 36 hours of personal holiday and between 96-130 hours of sick leave annually and paid parental leave.
  • Eligible employees earn 13-27 days of vacation each year, depending on years of service and employment type.
  • For more details, please review the benefit quick guide linked below.
  • UW System Employee Benefits Brochure
  • Total Compensation Estimator
Employee Misconduct

All final candidates will be asked to provide names, email contact information, and/or phone numbers for three (3) references, with at least one being from a manager or supervisor, during the interview process. All final candidates must be asked, prior to hire, whether they have been found to have engaged in, are currently under investigation for, or left employment during an active investig