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Internship Nhl Data Analytics Jobs in Arizona (NOW HIRING)

Fall Intern- STORE Capital

Scottsdale, AZ · On-site

$15.25 - $20.50/hr

Job Type Internship Description STORE Capital Advisors, LLC is seeking motivated Interns to join our Internship Program within the Marketing, Acquisitions, Data Analytics and Underwriting and ...

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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.
Infographic showing various Internship Nhl Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Data Analytics Internship - On-site in Scottsdale, AZ

Vitalant

Scottsdale, AZ • On-site

$20/hr

Part-time

Re-posted 24 days ago


Vitalant rating

6.2

Company rating: 6.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

697th of 895 rated healthcare providers


Job description

At Vitalant, the impact you make doing work that is purposeful, meaningful, and worthwhile is vital. As a member of our non-profit organization, you can be impact-inspired to provide vital clinical services to communities nationwide, vital products to those in need of a donor's generosity, or vital scientific research that advances blood safety worldwide.
Work Shift (if applicable):
Shift 1 (United States of America)
Job Description:
Compensation: $20.00/ hour
Vitalant is hiring a Data Analytics Intern to help advance our life-saving mission through meaningful, data-driven insights. This part-time role offers fully flexible scheduling Monday through Thursday, with opportunities to work 16-24 hours per week based on your availability during the current school semester and into the Summer break. This internship will work on-site at our Scottsdale, AZ office - remote or hybrid options are not available.
In this Data Analytics Internship, you will:
  • Support Advanced Analytics initiatives by preparing datasets, conducting exploratory data analysis (EDA), and assisting with machine-learning workflows in Python.
  • Gain hands-on exposure to modern ML techniques used across our program, including tree-based models (XGBoost), neural networks (RNNs), and time-series forecasting approaches.
  • Collaborate with senior analysts, computer scientist and engineers to evaluate model performance and help operationalize insights.
  • Assist with BI and data-engineering tasks, including updating data pipelines, refining semantic models, and maintaining data quality across our BI ecosystem.
  • Work with Power BI and Looker to support ongoing enhancements as we expand our analytics presence.
  • Perform data validation, profiling, and quality checks to ensure accurate, trusted reporting and analytics.
  • Collaborate with cross-functional teams to gain real-world experience building analytics solutions in a complex, mission-driven organization.

This is an exceptional opportunity for students interested in Data Science, Computer Science, or Analytics to develop hands-on skills in BI, cloud technologies, and machine learning while contributing to meaningful, real-world projects that support a life-saving mission. If you are eager to grow in advanced analytics and ML, we would love to hear from you.
Requirements:
Knowledge/ Education
Enrolled in a formal intern program at an educational institution required.
Skills/ Abilities
Ability to work in a team environment.
Able to set priorities, organize and handle a variable workload.
Effective oral and written communication skills.
Must be self-motivated with good organizational skills.
Proficient personal computer skills.
Experience
No experience required.
Location:
9305 East Via de VenturaScottsdale, AZ 85258
Job Category:
Administrative Support
Contact Information: careers@vitalant.org
If you are impact-inspired to help others, and making a difference is vital for you, you'll experience a career built on purpose, a company created to care, and a team committed to lead - together.

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