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Remote Nhl Data Analytics Jobs in Virginia (NOW HIRING)

Data and Analytics Engineer

Blacksburg, VA · On-site +1

$100K - $120K/yr

Blacksburg, Virginia, Fully Remote, Hybrid Categories: Information Systems / Technology The Data and Analytics Engineer role is responsible for designing, developing, and supporting enterprise data ...

... and analytics lead responsible for developing, maintaining, and continuously improving the program's tracking databases, performance dashboards, and metrics reporting capabilities--directly ...

... and analytics lead responsible for developing, maintaining, and continuously improving the program's tracking databases, performance dashboards, and metrics reporting capabilities--directly ...

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Showing results 21-40

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 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.

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 cities in Virginia are hiring for Remote Nhl Data Analytics jobs? Cities in Virginia with the most Remote Nhl Data Analytics job openings:
Infographic showing various Remote Nhl Data Analytics job openings in Virginia 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.

Associate Data and Analytics Engineer

Virginia Polytechnic Institute and State University

Blacksburg, VA • On-site, Remote

$62K - $76K/yr

Full-time

Posted 4 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

228th of 616 rated colleges and universities


Job description

Associate Data and Analytics Engineer
Job no: 537205
Work type: Administrative & Professional
Senior management: Vice President-Info Technology
Department: Enterprise Services
Location: Blacksburg, Virginia, Fully Remote, Hybrid
Categories: Information Systems / Technology
Job Description
Virginia Tech is seeking an Associate Data and Analytics Engineer to support the development, maintenance, and operation of enterprise data, analytics, and reporting solutions that enable institutional reporting, decision support, and data-informed decision-making across the university.
Working under the guidance of senior data and analytics professionals, this position will assist with developing data pipelines, supporting cloud-based data platforms, maintaining enterprise data assets, and creating reports, dashboards, and analytical solutions. The position provides an early-career professional with opportunities to develop proficiency in enterprise data management, analytics engineering, business intelligence, and cloud data platform operations using technologies such as Snowflake, AWS, SQL, Python, and Power BI.
Why Join Virginia Tech
Join a team that is building the next generation of enterprise data and analytics capabilities at one of the nation's leading R1 research universities. In this role, you will work with modern cloud data technologies, Snowflake, advanced analytics, and emerging AI capabilities while helping enable research, student success, academic operations, and institutional decision-making at enterprise scale.
Key Responsibilities
• Support the day-to-day operation of enterprise data and analytics platforms, including monitoring scheduled jobs, data pipelines, reports, dashboards, and platform services.
• Assist with troubleshooting data quality, integration, performance, and platform issues, escalating complex matters to senior team members as appropriate.
• Participate in incident response, issue resolution, service restoration, monitoring, alerting, and operational automation activities.
• Assist in developing, maintaining, testing, and monitoring data pipelines, integrations, and ETL/ELT workflows supporting Snowflake-based analytics solutions.
• Support the creation and maintenance of enterprise data assets, data models, and transformations used for institutional reporting and analytics.
• Develop SQL queries and scripts for data processing, reporting, analytics, validation, and operational needs.
• Perform data validation, testing, reconciliation, and quality assurance to support the accuracy, completeness, and reliability of enterprise data.
• Apply established data governance, metadata, data quality, security, privacy, and access-control standards and practices.
• Assist with developing and maintaining dashboards, reports, visualizations, and self-service analytics solutions using approved enterprise tools.
• Work with business and technical staff to understand reporting and analytics requirements and participate in report validation, user testing, and solution implementation.
• Provide customer support and guidance related to enterprise reporting and analytics services.
• Contribute to technical documentation, operational procedures, training materials, user adoption, knowledge sharing, and continuous improvement initiatives.
Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, Information Systems, Business, Data Analytics, or a related field, or an equivalent combination of education, training, and experience.
• Foundational knowledge of data management, reporting, analytics, or business intelligence concepts.
• Experience writing scripts, version control (GIT) and the development life cycle.
• Experience developing SQL queries and working with relational databases.
• Experience supporting software applications, data solutions, reporting systems, or analytics platforms through coursework, internships, student employment, or professional experience.
• Ability to learn new technologies, business processes, and technical concepts.
• Demonstrated ability to communicate technical concepts and information effectively to both technical and non-technical audiences.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Demonstrated ability to organize work, manage multiple priorities, adapt to changing business needs, and complete assigned responsibilities within established timelines.
Preferred Qualifications
• Exposure to cloud data platforms such as Snowflake or comparable technologies.
• Experience with a code release process (DevOps)
• Experience developing reports, dashboards, or data visualizations.
• Exposure to Python, automation, or data processing workflows.
• Familiarity with ETL/ELT, data modeling, data warehousing, or analytics engineering concepts.
• Experience with reporting or BI tools such as Power BI, Tableau, MicroStrategy, or similar platforms.
• Experience gained through internships, assistantships, capstone projects, student employment, or professional work.
• Familiarity with higher education data domains or enterprise administrative systems.
• Demonstrated ability to collaborate effectively with cross-functional teams, stakeholders and data stewards, while completing assigned work with appropriate guidance.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$62,665 - $76,590
Hours per week
40
Review Date
8/18/2026
Additional Information
No visa sponsorship is available for this position.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact IT Human Resources at ithr@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: August 5, 2026
Applications close: August 18, 2026 Eastern Daylight Time
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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