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Football Data Analytics Internship Jobs in Appleton, WI

Supply Chain & Procurement Intern

Brillion, WI · On-site

$17.75 - $24/hr

This internship provides valuable exposure to: * Procurement and supplier management * Supply chain operations * Data analysis and reporting * Process improvement * Cross-functional collaboration

Quality Process Intern

De Pere, WI

$14.50 - $18.75/hr

The internship is onsite in De Pere, WI. *A pre-employment drug test is required if offered the ... Help with data analysis and work with plant or area leadership to develop action plans to address ...

Quality Process Intern

De Pere, WI · On-site

$14.50 - $18.75/hr

The internship is onsite in De Pere, WI. *A pre-employment drug test is required if offered the ... Help with data analysis and work with plant or area leadership to develop action plans to address ...

Finance Graduate Intern

Neenah, WI

$18 - $23.50/hr

This internship goes beyond transactional finance. The intern will contribute to financial analysis ... Collaborate with operations to support data-driven business decisions. * Help maintain and organize ...

Internship, co-op, or 1-2 years of accounting experience preferred. * Strong Excel skills (PivotTables, VLOOKUP/XLOOKUP, data analysis). * Experience with ERP systems preferred (SAP, Oracle, Dynamics ...

Internship, co-op, or 1-2 years of accounting experience preferred. * Strong Excel skills (PivotTables, VLOOKUP/XLOOKUP, data analysis). * Experience with ERP systems preferred (SAP, Oracle, Dynamics ...

New

Internship, co-op, or 1-2 years of accounting experience preferred. * Strong Excel skills (PivotTables, VLOOKUP/XLOOKUP, data analysis). * Experience with ERP systems preferred (SAP, Oracle, Dynamics ...

Internship, co-op, or 1-2 years of accounting experience preferred. * Strong Excel skills (PivotTables, VLOOKUP/XLOOKUP, data analysis). * Experience with ERP systems preferred (SAP, Oracle, Dynamics ...

Perform quantitative analysis of hydrologic and hydrogeological data, including probabilistic ... internships or co-ops * Technical writing and report preparation experience * Proficiency with ...

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Football Data Analytics Internship information

See Appleton, WI salary details

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How much do football data analytics internship jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for football data analytics internship in Appleton, WI is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

How much do NFL data analysts make?

NFL data analysts typically earn between $50,000 and $100,000 annually, depending on experience and location. Entry-level positions may start lower, while experienced analysts with advanced skills in data visualization and statistical software can earn higher salaries.

What is a Football Data Analytics Internship job?

A Football Data Analytics Internship is a temporary role where interns analyze football-related data to provide insights for teams, analysts, or organizations. Responsibilities may include data collection, statistical analysis, performance evaluation, and assisting with predictive modeling. Interns typically work with software like Python, R, Excel, and SQL to interpret data and present findings. This role helps interns gain practical experience in sports analytics, improving their technical and analytical skills.

What types of projects or daily tasks are typically assigned to Football Data Analytics Interns?

As a Football Data Analytics Intern, you can expect to work on tasks such as collecting and cleaning match data, conducting statistical analyses of player and team performance, and generating reports or visualizations for coaches and analysts. Interns often support ongoing research projects, contribute to scouting or tactical analyses, and may assist in developing predictive models. Collaboration with full-time analysts, coaches, and sometimes technical staff is common, providing valuable exposure to different areas of football operations. This variety of tasks helps interns develop both technical and applied skills relevant to a career in sports analytics.

What does a football analytics intern do?

A football analytics intern analyzes game data, player performance, and team statistics to provide insights that support coaching and strategic decisions. They often use data analysis tools and software, such as Excel or specialized sports analytics platforms, and may assist in preparing reports or visualizations for coaching staff and management.

What are the key skills and qualifications needed to thrive in the Football Data Analytics Internship position, and why are they important?

To thrive as a Football Data Analytics Intern, you need a solid understanding of statistics, data analysis, and football tactics, often demonstrated through coursework in data science, mathematics, or a related field. Experience with programming languages such as Python or R, familiarity with tools like Excel and Tableau, and knowledge of sports analytics software are commonly expected. Strong attention to detail, effective communication, and the ability to collaborate within a fast-paced team environment are highly valued soft skills. These abilities enable interns to extract actionable insights, clearly present findings, and contribute to data-driven decision-making within football organizations.

Do NFL teams hire data analysts?

NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require knowledge of sports analytics software, programming languages like Python or R, and a background in sports or data science. Data analysts in sports organizations contribute to competitive advantages through data-driven insights.

How to get into football data analytics?

To get into football data analytics, develop skills in data analysis, statistics, and programming languages like Python or R. Gain experience with sports data sources, learn to use analytics tools, and consider pursuing relevant degrees or certifications in sports management, data science, or related fields.
What are popular job titles related to Football Data Analytics Internship jobs in Appleton, WI? For Football Data Analytics Internship jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Football Data Analytics Internship jobs in Appleton, WI look for? The top searched job categories for Football Data Analytics Internship jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Football Data Analytics Internship jobs? Cities near Appleton, WI with the most Football Data Analytics Internship job openings:
Infographic showing various Football Data Analytics Internship job openings in Appleton, WI as of July 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $45,673 per year, or $22 per hour.

Assistant Teaching Professor - Business Analytics

Universities of Wisconsin

Green Bay, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Current Employees and Students: If you are currently employed or enrolled as a student at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Position Title:
Assistant Teaching Professor - Business Analytics
Job Category:
Academic Staff
Employment Type:
Regular
Job Profile:
Teaching Assistant Professor
Job Duties:
The Austin E. Cofrin School of Business at the University of Wisconsin-Green Bay seeks applicants for an Assistant Teaching Professor in Business Analytics. The Cofrin School of Business values university-level teaching experience, the ability to teach a variety of classes related to the candidate's academic field and preparation, engagement in institutional, community, and professional service, and experience working in the world of business. Consistent with UW-Green Bay's mission, the successful candidate will contribute to a problem-focused educational experience that promotes critical thinking, student access and success, experiential learning, and strong connections to the regional business community, while working inclusively and effectively with a diverse campus community. Candidates with any research or teaching experience in the fields of artificial intelligence will be given strong consideration.
The successful applicant will contribute to a young, growing, forward-looking college and department embedded within Wisconsin's third-largest metropolitan area. The Green Bay community is an affordable and growing city supporting significant collaborative opportunities with the business community. Northeastern Wisconsin's proximity to the Great Lakes, a National Football League team, and the University's Division 1 athletic program provides a foundation for a rich, high quality of life for its residents. The Cofrin School of Business and the University of Wisconsin-Green Bay continue a sustained record (10+ years) of growth.
Key Job Responsibilities:
  • Teach a normal instructional load of undergraduate and graduate courses in Business Analytics, Business Statistics, Decision Sciences (e.g., Management Information Systems, IT management, programming courses for business applications-especially R, Tableau, and MySQL, etc.), and/or Data Science. Candidates must be capable of teaching the above-mentioned courses from a business application perspective with examples relevant to the business world. Courses will be taught both in-person and online and may be taught in any of four other instructional modes (e.g., blended, interactive video).
  • Mentor students to increase professional development, career advancement, and engagement in experiential learning opportunities inside and outside the classroom.
  • Perform scholarly activities, service, and professional engagement activities consistent with the Cofrin School of Business expectations for an Assistant Teaching Professor.
  • Perform institutional and community service.
  • Contribute to ongoing development of the Cofrin School of Business and participate in AACSB accreditation efforts.

Start Date:
August 24, 2026
Department:
Austin E. Cofrin School of Business
Compensation:
Competitive salary commensurate with qualifications and experience.
This position is exempt from the overtime provisions of the Fair Labor Standards Act (FLSA).
Required Qualifications:
  • MBA or similar business Master's degree, Master's degree in Data Science, Management Information Systems, Data Analytics, Decision Sciences, IT (with a focus on business applications of IT), or related analytical field from an AACSB accredited institution
  • Demonstrated potential for excellence in teaching
  • Knowledge of programming and software like Python and R, along with knowledge of visualization software (e.g., Tableau).

Conditions of Appointment:
The home campus of this position is Green Bay.
Position is a full-time, 9-month, non-tenure track, Instructional Academic Staff appointment. Finalist(s) will need to consent to a verification of academic credentials through a third-party education check provider authorized by the University. A criminal conviction investigation will be conducted on the finalist(s). In compliance with the Wisconsin Fair Employment Act, the university does not discriminate on the basis of arrest or conviction record.
How to Apply:
Click the "Apply" button.
Please be sure to complete all required fields, and include all required documents before submitting your application. Once submitted, you will not be able to edit or attach any application materials. Files must be complete to be considered. Please include the following documents:
  • Cover letter specifically addressing qualifications for the essential job functions
  • Curriculum Vitae/Resume

Application Deadline
To ensure consideration, please submit application materials by Sunday, May 31, 2026.
Contact Information:
If you have any questions, need accommodations, or submitted your application with missing materials, call or email:
Human Resources
Phone: (920) 465-2390
Email: jobs@uwgb.edu
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 investigation in which they were accused of employee misconduct, sexual violence or sexual harassment. When obtaining employment reference checks, these same misconduct, sexual violence or sexual harassment questions must also be asked.
Confidentiality Statement
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis.Stat. sec. 19.36(7).
Annual Security Report
For more information regarding the University of Wisconsin-Green Bay and the surrounding area, see our Campus and Community section. For Campus Safety information see our University Police website and our Annual Security Report (for a paper copy please contact the Office of Human Resources at (920) 465-2390). This report includes statistics about reported crimes, as well as information about crime prevention and campus security policies and procedures.
UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.