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Remote Nhl Data Analytics Jobs (NOW HIRING)

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Build and maintain data pipelines that power both ad-hoc analyses and production dashboards ... Remote Work Environment * Maternity/Paternity Leave $80,000 - $150,000 a year The salary range for ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

This is a remote position. Overview : The Portfolio Lead - Data & Analytics is responsible for driving strategic data engagements across key enterprise accounts . This role blends a consulting ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

While this is a remote position, you must be located or willing to relocate to the NYC Metro area to qualify. WHAT YOU'LL DO: * Set the vision and strategy for Data Analytics and Data Science

Showing results 41-60

Remote Nhl Data Analytics information

What is a remote NHL data analytics job?

Remote NHL Data Analytics jobs involve analyzing hockey-related data for the National Hockey League (NHL) while working from a remote location. Professionals in this field collect, organize, and interpret large datasets to provide insights into player performance, team strategies, and game outcomes. The work may include statistical modeling, data visualization, and the use of specialized software to help teams, media, or betting companies make informed decisions. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of hockey. Remote roles allow for flexibility in location while still collaborating with teams and organizations virtually.

What are the key skills and qualifications needed to thrive as a remote NHL data analyst, and why are they important?

To thrive as a Remote NHL Data Analyst, you need a strong foundation in statistics, data analysis, and hockey knowledge, typically supported by a degree in data science, statistics, or a related field. Familiarity with analytics tools like Python, R, SQL, and visualization platforms such as Tableau or Power BI is essential, along with experience using sports data sources and APIs. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with remote teams and conveying insights to stakeholders. These skills and qualities are important for producing accurate, actionable insights that drive team strategy and performance improvements in a fast-paced, competitive sports environment.

What are some common challenges faced by professionals in a remote NHL data analytics role, and how can they be addressed?

A common challenge in remote NHL Data Analytics is ensuring seamless collaboration with coaches, scouts, and other analysts despite being physically distant from the team. Clear communication and regular virtual meetings are essential to align on objectives and share insights. Another challenge is managing and accessing large, proprietary datasets securely from remote locations, which requires strong data management practices and familiarity with secure cloud platforms. Staying updated on the latest hockey analytics trends and tools is also important for delivering actionable insights to the team.

What is the difference between Remote Nhl Data Analytics vs Remote Sports Data Analyst?

AspectRemote Nhl Data AnalyticsRemote Sports Data Analyst
CredentialsDegree in Data Science, Statistics, or Sports ManagementDegree in Data Science, Statistics, or Sports Management
Work EnvironmentRemote, sports analytics companies, NHL teamsRemote, sports organizations, analytics firms
Industry UsagePrimarily NHL, hockey-focused analyticsVarious sports including hockey, football, basketball
Job FocusHockey-specific data analysis, player performance, game strategiesMultiple sports data analysis, performance metrics, trend forecasting

Remote Nhl Data Analytics specializes in hockey-specific data analysis within the NHL industry, focusing on player performance and game strategies. In contrast, Remote Sports Data Analyst roles cover multiple sports, analyzing broader performance metrics across various leagues. Both roles require similar credentials and often share work environments, but their industry focus and data scope differ significantly.

More about Remote Nhl Data Analytics jobs

What cities are hiring for Remote Nhl Data Analytics jobs?

Cities with the most Remote Nhl Data Analytics job openings:

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

The most popular types of Nhl Data Analytics jobs are:

What states have the most Remote Nhl Data Analytics jobs?

States with the most job openings for Remote Nhl Data Analytics jobs include:

Infographic showing various Remote Nhl Data Analytics job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 68% Full Time, 11% Part Time, 5% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

Sr. Data Analytics Engineer

Under Armour, Inc.

OR • Remote

$125K - $165K/yr

Full-time

Medical, Retirement

Re-posted 4 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

22nd of 104 rated fashion retailers


Job description

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision intelligence by building scalable data transformation frameworks and data products. As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will lead complex programs, mentor junior engineers, and influence architectural direction across product decision teams. Partnering with Analytics, Automation & AI, and Governance teams, you will deliver trusted data products that drive smarter, faster decisions. 

Your Impact

Data Engineering & Architecture:

  • Lead data model design, semantic layer definition, and scalable ELT architecture.  
  • Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.  
  • Build high-quality analytical datasets and visualization-optimized data structures.  

Quality, CI/CD & Operational Excellence:

  • Own CI/CD deployment pipelines and release management processes.  
  • Drive engineering best practices include testing, observability, modular modeling, and documentation.  
  • Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.  
  • Lead root-cause analysis and long-term fixes for complex data issues.  

Leadership & Collaboration: 

  • Mentor junior engineers and uplift engineering maturity across squads.  
  • Facilitate stakeholder sessions to translate business requirements into scalable data products.  
  • Influence architectural decisions and emerging-technology adoption.  
  • Partners across EDMA, AI/Automation, Platform, and Governance teams.  
  • Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions. 

AI Enablement:

  • Apply Generative AI tools to streamline development workflows and enhance product quality.  
  • Contribute to the design of AI-enabled automation solutions.  
Qualifications
  • Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.  
  • Expert SQL abilities with mastery in complex data transformation patterns.  
  • Deep expertise in data modeling, ELT design, and enterprise data architecture.  
  • Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.  
  • 4+ Years of experience with Tableau or similar analytics platforms.  
  • 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.  
  • 2+ Years of experience & strong background in CI/CD engineering best practice.  
  • 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).  
  • Advanced Python for automation, orchestration, and engineering workflows.  
  • Working knowledge of automation tools (e.g., Elementum).  
  • Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.  
  • Generative AI applies responsibly to accelerate development and improve quality.  
  • Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
  • Skilled at bridging the gap between technical depth and business clarity through impactful communication. 
Workplace Location
  • Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross-functional teams)    
  • Work Schedule: Fully Remote 
  • Travel: Minimal
  • Licenses/Certifications: N/A
  • Sponsorship Eligibility: UA does not offer sponsorship of job applicants for employment-based work authorization for this position at this time.

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Relocation
  • No relocation provided
Base Compensation

 $125,000.00-$165,000.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks
  • Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community
  • Under Armour Merchandise Discounts
  • Competitive 401(k) plan matching
  • Maternity and Parental Leave for eligible and FMLA-eligible teammates
  • Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.


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