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Internship Hockey Analytics Jobs (NOW HIRING)

Vinik Sports Group

Sr. Software Engineer

Tampa, FL · On-site

$115K - $152K/yr

Develop and maintain internal tooling, services, and dashboards that support hockey data analysis ... Mentor junior engineers and interns, fostering a collaborative environment and promoting ...

Vinik Sports Group

Sr. Software Engineer

Tampa, FL

$115K - $152K/yr

Develop andmaintaininternal tooling, services, and dashboards that support hockey data analysis ... Mentor junior engineers and interns, fostering a collaborative environment and promoting ...

Minnstate

$47K - $93K/yr

Provide oversight and training for graduate assistants, interns and student workers for men ... analyze, and organize information to make substantive and sometimes complex decisions reaching ...

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How much do internship hockey analytics jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship hockey analytics in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are internship hockey analytics positions?

Internship hockey analytics positions are entry-level roles where students or recent graduates help collect, analyze, and interpret data related to hockey performance and strategy. Interns work with statistical software, databases, and video analysis tools to support coaching staff, scouts, or management in making data-driven decisions. These internships provide hands-on experience in sports analytics, offering exposure to both the technical and practical aspects of hockey operations. Typically, interns collaborate with experienced analysts, participate in research projects, and contribute to reports and presentations for the organization.

What are the key skills and qualifications needed to thrive as an Internship Hockey Analytics, and why are they important?

To excel as an Internship Hockey Analytics, you need a strong background in statistics, data analysis, and a solid understanding of hockey, often supported by coursework in math, statistics, or sports management. Familiarity with tools such as R, Python, Excel, and data visualization platforms, as well as experience with hockey data sources like NHL APIs, is typically expected. Strong communication, problem-solving skills, and attention to detail help interns present insights clearly and work effectively in team environments. These skills are crucial for generating actionable insights that support coaching decisions and enhance team performance.

What types of projects or analyses might an intern in hockey analytics work on during their internship?

As an intern in hockey analytics, you can expect to work on a range of projects such as player performance evaluations, opponent scouting reports, and in-depth statistical analyses to support coaching decisions. Typical responsibilities may involve data cleaning, building visualizations, and using software tools like Excel, R, or Python to interpret game data. You may also collaborate closely with coaches, data scientists, and other front office staff to present findings and contribute to real-time decision-making. This hands-on experience will help you develop practical skills and understand how analytics directly impact team strategies.
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Internship Hockey Analytics jobs near you
Infographic showing various Internship Hockey Analytics job openings in the United States as of July 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Sr. Software Engineer

Sr. Software Engineer

Vinik Sports Group

Tampa, FL • On-site

$115K - $152K/yr

Full-time

Posted 19 days ago

Job description

Job Summary
The Sr. Software Engineer within the DevOps team will lead the design, implementation, and evolution of cloud-native infrastructure and automated systems that power our hockey analytics platform and data ecosystem. This role has a strong emphasis on AWS-based architecture, DevSecOps best practices, and Infrastructure as Code (IaC), while continuing to support software engineering, data platform development, and analytics-driven applications.
The Sr. Software Engineer will play a key role in building secure, scalable, and highly reliable cloud infrastructure, enabling rapid, safe delivery of analytics solutions through modern CI/CD pipelines and automation-first engineering practices. You will work across data architecture, platform services, and application development, ensuring seamless delivery, operational excellence, and rapid issue resolution.
Working closely with the Director of DevOps & Data Engineering and other team members, the Sr. Software Engineer will act as a technical leader-sharing cloud, security, and automation expertise to help the team deliver high-quality, production-grade systems. This position offers the opportunity to drive innovation and have a direct impact on both the organization and the hockey analytics team.
Essential Duties & Responsibilities
  • Lead the design, development, and maintenance of cloud infrastructure and core services for the hockey analytics platform, with a strong focus on AWS architecture, scalability, reliability, security, and performance.
  • Architect and implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or similar frameworks to ensure reproducible, auditable, and secure environments across development and production.
  • Champion DevSecOps practices, embedding security, compliance, and observability into CI/CD pipelines, infrastructure, and application delivery processes.
  • Build, maintain, and optimize CI/CD pipelines to support automated testing, deployment, and infrastructure provisioning.
  • Develop and maintain internal tooling, services, and dashboards that support hockey data analysis, platform monitoring, and operational visibility.
  • Monitor cloud systems, applications, and data pipelines, proactively identifying performance, cost, reliability, or security issues and troubleshooting production incidents in a timely manner.
  • Collaborate with data engineers, analysts, and cross-functional stakeholders to gather requirements and design scalable, maintainable, and efficient cloud-native solutions.
  • Lead architectural discussions, code reviews, and infrastructure reviews, ensuring adherence to best practices for cloud design, security, coding standards, and operational excellence.
  • Mentor junior engineers and interns, fostering a collaborative environment and promoting professional growth through hands-on technical guidance, cloud architecture mentorship, and regular feedback.
  • Perform other duties as assigned

Game/Event Responsibilities
  • Game/Event Night responsibilities: limited
  • Approximate number of events worked per year: on call as needed

Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of professional experience in software engineering, cloud infrastructure, DevOps, or related roles.
  • Strong understanding of data structures, algorithms, and distributed systems.
  • Proficiency in Python, including software design, development, and debugging.
  • Experience with SQL and/or NoSQL databases.
  • Deep experience with cloud platforms, particularly AWS (preferred), including cloud networking, compute, storage, managed services, and security concepts.
  • Strong experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and cloud automation.
  • Experience implementing DevSecOps practices, including CI/CD automation, secrets management, environment isolation, and security best practices.
  • Expertise building and supporting data pipelines, analytics platforms, and real-time or near-real-time data processing systems.
  • Experience developing and maintaining REST APIs.
  • Hands-on experience with containerization and orchestration, such as Docker, Kubernetes, Airflow, or Dagster, along with Linux/Unix operating systems.
  • Experience designing database architectures, including data modeling, schema design, normalization, indexing, and query optimization.
  • Strong interpersonal and communication skills, with experience working in cross-functional teams including managers, data scientists, and business stakeholders.
  • Familiarity with front-end frameworks, JavaScript, HTML, and CSS is a plus.

Working Conditions
  • Ability to work efficiently and effectively in office and arena environment that can be exciting, loud and distracting
  • This is an onsite role; flexibility to work a minority of time remotely.
  • Ability to work extended hours including late nights, holidays, and weekends as needed
  • Ability to work prolonged periods sitting at a desk and working on a computer.
  • Ability to lift/carry/move up to 10lbs
  • Ability to work in cold/hot indoor and outdoor temperatures
  • Ability to work in areas that can become crowded with equipment and/or people

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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