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Internship Nhl Data Analytics Jobs in Utah (NOW HIRING)

Workiva

Spring 2027 Intern - Data Analytics

Logan, UT · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

Spring 2027 Intern - Data Analytics

Orem, UT · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

Spring 2027 Intern - Data Analytics

Orem, UT · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

Spring 2027 Intern - Data Analytics

Ogden, UT · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

Spring 2027 Intern - Data Analytics

Logan, UT · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Workiva

Spring 2027 Intern - Data Analytics

Ogden, UT · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and ... analytics, statistical modeling, or a related field, including relevant internships, academic ...

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

World Wide Technology

$18 - $25/hr

The WWT Internship Program is a 10 week summer program designed to give college students an ... Business Analytics * Data Analytics * Network Engineering * UX/UI Design * Cybersecurity ...

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Internship Nhl Data Analytics information

What is an internship NHL data analytics?

An Internship in NHL Data Analytics is a temporary position, usually for students or recent graduates, where individuals work with data related to the National Hockey League (NHL). Interns typically assist with collecting, analyzing, and interpreting hockey statistics to support team performance, business decisions, or fan engagement strategies. The role often involves using statistical software, data visualization tools, and working with large datasets. This experience provides valuable hands-on learning and a chance to work alongside professionals in sports analytics.

What kinds of projects or tasks can I expect to work on during an NHL data analytics internship?

As an NHL Data Analytics intern, you can expect to work on a variety of projects that involve analyzing player statistics, game data, and team performance metrics. Interns often assist with data cleaning, creating visualizations, and developing reports that help coaches, analysts, or front office staff make informed decisions. You may also collaborate with different departments, such as scouting or sports science, to support ongoing research or strategic initiatives. This role offers a hands-on opportunity to apply analytical skills in a fast-paced, team-oriented environment, and it provides valuable exposure to the operations of a professional sports organization.

What are the key skills and qualifications needed to thrive as an NHL data analytics intern, and why are they important?

To thrive as an NHL Data Analytics Intern, you need solid quantitative skills, familiarity with statistical analysis, and a background in data science or a related field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau is commonly expected, along with knowledge of hockey-specific datasets. Strong communication, attention to detail, and problem-solving abilities distinguish top candidates by enabling them to interpret and present insights effectively. These skills are crucial for supporting decision-making processes, driving team performance, and delivering actionable recommendations in a fast-paced sports environment.

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Internship Nhl Data Analytics jobs near you

Professional in Residence - Data Analytics

Orem, UT • On-site

Utah Valley University
Colleges, Universities, and Professional Schools • 1 - 5K employees

6.8

Company rating: 6.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

484th of 627 rated colleges and universities

People enjoy working here

Recommended by students

Recommended by parents

Learn more about Utah Valley Universityexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Job description

Salary: Depends on Qualifications
Location : Main Campus - Orem
Job Type: FT Faculty
Job Number: FY2706534
Division: VP Academic Affairs
Department: Strategic Management and Operations
Opening Date: 08/28/2026
Closing Date: 9/9/2026 11:59 PM Mountain
Required Documents Needed to Apply: Resume
Cover Letter
Optional Documents: Curriculum Vitae
Applicant Support: 1-855-524-5627
Support@schooljobs.com
Position Announcement
Join the Woodbury School of Business as a Professional in Residence in Data Analytics and help prepare the next generation of business professionals for success in a rapidly evolving, data-driven economy! This role offers the opportunity to combine industry expertise with teaching, allowing you to make a meaningful impact on students while staying connected to current business practices and emerging technologies. As a key link between academia and industry, you will help shape curriculum relevance, support experiential learning opportunities, and guide students as they develop the analytical, technical, and professional skills sought by today's employers. If you are passionate about applying real-world experience in the classroom, mentoring future professionals, and contributing to a collaborative academic environment focused on student achievement and workforce readiness, this position offers a rewarding and influential career opportunity.
Summary of Responsibilities
  • Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using engaging, applied instructional methods across face-to-face, hybrid, livestream, and online modalities. Integrates data visualization, statistical analysis, AI-enabled analytics tools, and modern business intelligence platforms into instruction. Evaluates student learning using appropriate assessments and provides timely, constructive feedback while fostering an inclusive, student centered learning environment.
  • Serves as a liaison between the WSB and industry partners to ensure curriculum reflects current workforce expectations. Develops employer-sponsored projects, guest lectures, case competitions, internships, and experiential learning opportunities. Maintains active engagement in the analytics profession through consulting, professional organizations, certifications, conferences, or other continuing professional development activities. Promotes industry partnerships that enhance student success and program visibility.
  • Develops measurable learning outcomes, instructional materials, cases, labs, and experiential learning projects that reflect current industry practices. Continuously improves curriculum to align with evolving technologies and employer needs. Maintains regular office hours and advises and mentors students in academic progress, professional development, internships, industry certifications, and career readiness, supporting student success from the classroom to the workforce.
  • Participates in departmental, school, and university committees and initiatives. Contributes to curriculum assessment, continuous improvement, accreditation activities, program development, recruitment, and student engagement efforts. Collaborates with faculty to assess learning outcomes and improve instructional effectiveness. Performs other related duties as assigned. Designs and administers assessments aligned to course outcomes using clear criteria/rubrics; provides timely feedback. Holds regular office hours. Advises and mentors students on career paths, skill development, professional preparation, and job-search strategies.

Qualifications / Licenses / Certifications
  • Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.
  • Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.
  • Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.
  • Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.
  • Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success.

Preferred Qualifications
  • Experience teaching in higher education or delivering professional training.
  • Professional certifications such as Microsoft Power BI Data Analyst Associate, Tableau Certified Professional, AWS Data Analytics, Google Professional Data Analytics, Azure Data Engineer, Databricks, SAS, Snowflake, or similar industry-recognized credentials.
  • Experience developing employer-sponsored projects, internships, or experiential learning opportunities.
  • Strong connections with Utah or regional employers in analytics, technology, finance, healthcare, manufacturing, or related industries.
  • Demonstrated leadership in applied analytics projects, consulting, or professional organizations.
  • Evidence of thought leadership through conference presentations, industry publications, white papers, or invited professional presentations.
  • Knowledge of Canvas a plus, but not required.

Knowledge / Skills / Abilities
Knowledge
  • Subject-matter knowledge of data analytics and current industry practices, tools, regulatory frameworks, and emerging trends.
  • Effective instructional strategies and current trends in higher education.
  • Student engagement, classroom management, and learning evaluation.
  • Curriculum development, measurable outcomes, and assessment alignment.
Skills
  • Proficiency with analytics and visualization tools such as Python, R, SQL, Tableau, Power BI, Excel, and related technologies.
  • Ability to teach and integrate AI-enabled analytics tools responsibly into coursework.
  • Strong classroom instruction, communication, presentation, and facilitation skills.
  • Experience designing applied projects, case studies, and authentic assessments.
  • Strong interpersonal skills with the ability to build relationships with students, faculty, alumni, and industry partners.
  • Effective mentoring and career coaching for students pursuing analytics-related careers.
Abilities
  • Teach effectively in face-to-face, hybrid, livestream, and online environments.
  • Translate complex analytical concepts into practical business applications.
  • Evaluate student learning using fair, consistent, and outcomes-based assessment methods.
  • Collaborate effectively with faculty, staff, and external stakeholders.
  • Maintain professional currency in a rapidly evolving analytics discipline.
  • Foster an inclusive, engaging, and student-centered learning environment

EEO Statement:
UVU employment decisions are made on the basis of an applicant's qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
Utah Valley University's dedication to exceptional care offers quality service and benefits to employees while staying committed to meeting the needs of a diverse workforce.
UVU is pleased to offer a competitive and comprehensive benefits package that supports employees and their family's overall physical and mental health, protects their income in case of unforeseen illness and life events, and assists in building financial security for retirement and the future.
Highlights from Utah Valley University's benefits package include:
  • Medical network and plan options with low employee premiums
  • Employer HSA contribution for those that elect the university's High-Deductible Health Plan
  • Other tax advantage, reimbursement account options (i.e. Flexible Spending Account & Dependent Care)
  • Dental and vision plan options
  • Incentivized wellness program
  • Employer paid basic life, Accidental Death and Dismemberment (AD&D), and Long Term Disability (LTD) coverage
  • Employee Assistance Program (EAP)
  • 401(a) Defined Contribution Plan with an employer contribution of 14.2% based on employee's compensation (100% vested on first day of full-time employment)
  • Undergraduate tuition remission benefit waiving up to 18 credit hours (each semester) for employees and their eligible dependents (spouses & children dependents unmarried and up to age 26)
  • Generous leave package which includes sick, vacation (staff only), and personal leave; 13 paid holidays; paid medical maternity and parental leave

For more information about the benefits offered, visit
01
Do you meet the required qualifications as outlined: Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success?
  • Yes
  • No

02
What is your highest level of education?
  • High School or equivalent
  • Associates
  • Bachelors
  • Masters
  • Ph.D.
  • Ph.D. (abd)
  • Juris Doctorate

03
How many years of experience do you have in this type of position?
  • <1
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8+

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