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Internship Nhl Data Analytics Jobs (NOW HIRING)

Qorvo's Internship Program is designed for college students currently enrolled in an accredited ... Perform exploratory data analysis to identify trends, patterns, and insights * Support the ...

Qorvo's Internship Program is designed for college students currently enrolled in an accredited ... Perform exploratory data analysis to identify trends, patterns, and insights * Support the ...

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Data Analytics intern at Stryker, you may be placed in one of the ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

$20.50 - $24/hr

Analyze and mine data from multiple business systems to identify trends, opportunities, and ... Prior internship, project, or leadership experience demonstrating technical and business ...

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Internship Nhl Data Analytics information

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

As of Sep 7, 2026, the average hourly pay for internship nhl data analytics in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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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Infographic showing various Internship Nhl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analytics Intern

Qorvo, Inc.

Greensboro, NC • On-site

$25 - $34/hr

Full-time, Internship

Posted 6 days ago


Key responsibilities

  • Assist in collecting, cleaning, and preprocessing large datasets from various sources

  • Perform exploratory data analysis to identify trends, patterns, and insights

  • Support the development and validation of predictive models and machine learning algorithms


Qorvo rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves multiple high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our innovative team is helping connect, protect and power our planet.

Qorvo's Internship Program is designed for college students currently enrolled in an accredited Bachelor's, Master's, or PhD program. Qorvo offers real work experience, exposure to upper management, and the opportunity to pursue full-time opportunities, as available. 

Qorvo's Internship Program offers:

  • Challenging, skill-building assignments
  • Mentoring and coaching from industry experts
  • Launch & Learns and other learning opportunities
  • Collaborative team-based work environment
  • Networking and social events
  • Final presentation to business leaders

Qorvo's Data Analytics Internships are offered in our High Performance Analog, Advanced Cellular, and Connectivity and Sensors business groups. Specific projects and responsibilities will be determined based on the business needs at the time of the internship assignment.

Responsibilities:

  • Assist in collecting, cleaning, and preprocessing large datasets from various sources
  • Perform exploratory data analysis to identify trends, patterns, and insights
  • Support the development and validation of predictive models and machine learning algorithms
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights
  • Create clear visualizations and reports to communicate findings effectively
  • Document methodologies and maintain data pipelines and workflows

 

Qualifications:

  • Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
  • Basic knowledge of programming languages such as Python or R
  • Prior experience with SQL and data visualization tools (e.g., PowerBi, DataBricks, Spotfire) is a plus
  • Familiarity with data analysis libraries (e.g., pandas, NumPy, scikit-learn)
  • Understanding of statistical concepts and machine learning fundamentals
  • Strong problem-solving skills and attention to detail
  • Good communication skills and ability to work collaboratively in a team environment

 

This position is not eligible for visa sponsorship by the Company.

Competitive hourly pay commensurate with experience: $25/hr - $34/hr (subject to change dependent on physical location) 

Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as external competitiveness and internal comparability. 

Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request. 

  MAKE A DIFFERENCE AT QORVO   

 We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets - we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.

We are an Equal Employment Opportunity (EEO) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability. 


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