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Nhl Data Analytics Jobs in Colorado (NOW HIRING)

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Nhl Data Analytics information

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$20.7K

$93.9K

$170.9K

How much do nhl data analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nhl data analytics in Colorado is $93,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,656.00 and $125,198.00 per year, depending on experience, location, and employer.

What is an NHL Data Analytics?

An NHL Data Analytics job involves analyzing hockey-related data to provide insights that help teams, coaches, and executives make better decisions. Analysts work with player statistics, game performance metrics, and advanced hockey analytics to identify trends and strategies. They use programming, data visualization, and statistical modeling to interpret data and communicate findings effectively. The role can support player scouting, game strategy, or business operations within an NHL organization.

What does an NHL Data Analytics do?

A typical day in NHL Data Analytics involves collecting and cleaning large amounts of game, player, and performance data, running statistical analyses, and generating reports or visualizations for coaches and management. Analysts often collaborate closely with coaching staff, scouts, and other front-office personnel to interpret data insights and answer specific performance questions. The work includes monitoring ongoing games, updating predictive models, and staying current with advances in sports analytics techniques. This role can be fast-paced and dynamic, reflecting the evolving needs of both the analytics department and the on-ice product.

What are the key skills and qualifications needed to thrive in NHL Data Analytics?

To thrive in NHL Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, typically supported by relevant degrees or certifications. Experience with tools such as Python, R, SQL, and advanced data visualization platforms like Tableau or Power BI is highly desirable. Excellent communication, teamwork, and problem-solving abilities help analysts convey complex findings to both technical and non-technical stakeholders. These competencies are essential to drive data-driven decision making and provide actionable insights that can impact team performance and strategy.

What are the most commonly searched types of Nhl Data Analytics jobs in Colorado?

The most popular types of Nhl Data Analytics jobs in Colorado are:

What are popular job titles related to Nhl Data Analytics jobs in Colorado?

For Nhl Data Analytics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Nhl Data Analytics jobs in Colorado look for?

The top searched job categories for Nhl Data Analytics jobs in Colorado are:

What cities in Colorado are hiring for Nhl Data Analytics jobs?

Cities in Colorado with the most Nhl Data Analytics job openings:

Nhl Data Analytics jobs near you
Infographic showing various Nhl Data Analytics job openings in Colorado as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $93,889 per year, or $45.1 per hour.

Data Engineer with Colorado Avalanche- Contract

Kroenke Sports & Entertainment

Denver, CO • On-site

$80 - $95/hr

Other

Posted 4 days ago

Job description

Position: Data Engineer with Colorado Avalanche – Contract

Location: Denver, CO

Job Id: 544

# of Openings: 1

Job Title: Data Engineer with Colorado Avalanche

Reports to: Sr. Data Engineer

Employment Type: Full Time - Employment Contract - Salary

Posting End Date: 7/20/2026

Position Overview

The Colorado Avalanche are looking to hire a full-time data engineer to work within the team’s Hockey Operations Department. This person will complement the team’s Senior Data Engineer in maintaining and expanding the Avalanche hockey operations database. They will be tasked with importing and integrating data from external providers and interacting with the rest of the hockey operations department to ensure optimal dissemination of information to the appropriate parties. This person will also have the opportunity to contribute in developing a front-end interface and tools for the broader Hockey Operations Department.

Responsibilities
  • Manage and improve the organization’s data storage, structure, and ETL pipeline while optimizing query performance for large datasets
  • Design automated processes to oversee data integrity and query performance on a regular basis, as well as being available to spot and resolve data issues that may arise at any time
  • Ensure that our automated processes run on schedule without issue
  • Incorporate expansive new datasets from disparate sources into our structure in a seamless fashion
Required Qualifications
  • Strong knowledge of ETL architecture and development in a cloud-based environment
  • Academic and/or industry experience in database architecture, back-end software design, and query optimization
  • Expertisein SQLand/or SQL-based tools (dbt,SQLMesh, etc.)
  • Experience with Git and development best-practices
  • Excellent attention to detail, problem-solving abilities, and work ethic
Preferred Qualifications
  • A degree in software engineering, computer science, information technology, or a related field
  • Work experience in a database-related position
  • Knowledge of Spark and large-scale data processing
  • Experience with Databricks and Azure
  • Knowledge of NHL players and teams as well as a passion for hockey and hockey analytics
  • Some front-end development acumen/experience is considered a significant plus
Compensation
  • Salary Range: $80,000-$95,000, Contract Employee
Application Deadline

Applications must be received by: 07/20/2026

Kroenke Sports & Entertainment (KSE) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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