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Remote Nhl Data Analytics Jobs in Virginia (NOW HIRING)

The Data Analytics Architect leads the design, integration, and governance of data systems that ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

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Remote Nhl Data Analytics information

Do NFL teams hire data analysts?

Yes, NFL teams hire data analysts to evaluate player performance, game strategies, and team statistics. These analysts often use data visualization tools and statistical software to support decision-making and improve team outcomes.

What are Remote NHL Data Analytics jobs?

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.

How much do NHL data analysts make?

NHL data analysts typically earn between $50,000 and $80,000 annually, depending on experience, education, and the organization. Advanced skills in data analysis tools and sports statistics can lead to higher salaries in this specialized field.

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.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries, including sports analytics like NHL data analysis. These roles typically require skills in data visualization, statistical analysis, and tools such as Excel, SQL, or Python, and often offer flexible schedules. Many companies and organizations now hire remote data analysts, making it a feasible career option for qualified candidates.

How to become an NHL data analyst?

To become an NHL data analyst, candidates typically need a strong background in statistics, data analysis, or related fields, often holding a bachelor's degree in mathematics, statistics, or sports management. Proficiency in data tools such as Excel, SQL, and programming languages like Python or R is essential, along with knowledge of hockey and sports analytics. Gaining experience through internships or projects related to sports data can improve job prospects in this specialized field.
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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Analytics Architect

Parsons

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Parsons rating

7.7

Company rating: 7.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

256th of 438 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS program. The role builds and maintains the data architecture required to fuse sensor feeds, intelligence sources, operational telemetry, and system performance data into secure, scalable, and mission-ready analytics environments. This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure data solutions align with mission needs, technical constraints, and security requirements.

Job Description:

Specific Responsibilities:

Data Architecture & Engineering

  • Design and maintain enterprise data architectures supporting UAS/C-UAS mission data, including sensor streams, radar feeds, RF signatures, telemetry, and intelligence datasets.
  • Develop data pipelines, ETL/ELT processes, and ingestion frameworks for structured, semi-structured, and unstructured data.
  • Architect cloud, hybrid, or on-premises data environments compliant with government security and accreditation standards.
  • Implement data models, schemas, and metadata structures optimized for analytics, machine learning, and real-time operational use.

Analytics & Decision Support

  • Enable advanced analytics capabilities, including threat detection models, pattern analysis, system performance metrics, and predictive analytics.
  • Partner with data scientists and analysts to operationalize models and integrate them into mission workflows.
  • Develop dashboards, analytic tools, and visualization frameworks that support leadership, operators, and interagency partners.
  • Ensure analytic outputs are accurate, timely, and aligned with mission priorities.

Data Governance & Security

  • Establish data governance policies, data quality standards, and lifecycle management processes.
  • Ensure compliance with classification guidelines, OPSEC, cybersecurity requirements, and cross-domain data transfer rules.
  • Coordinate with cybersecurity teams to implement secure architectures, access controls, and monitoring.
  • Maintain authoritative data catalogs, lineage documentation, and audit trails.

Program Integration & Stakeholder Engagement

  • Work closely with engineering, intelligence, and operational teams to understand mission needs and translate them into data requirements.
  • Support test events, demonstrations, and field operations by ensuring data capture, storage, and analysis capabilities are mission-ready.
  • Provide technical guidance to leadership on data strategy, emerging technologies, and system modernization.
  • Collaborate with interagency partners, industry vendors, and integrators to align data architectures across systems and organizations.

Education and Typical Experience

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field; advanced degree preferred plus 7+ years of experience.
  • Extensive experience designing and implementing data architectures in technical, defense, aerospace, or government environments.
  • Proficiency with modern data engineering tools and frameworks (e.g., SQL/NoSQL databases, data lakes, streaming platforms, cloud services).
  • Strong understanding of analytics, machine learning workflows, and operational data requirements.
  • Experience with secure system design, cybersecurity principles, and government accreditation processes.
  • Ability to obtain and maintain a security clearance (Secret, TS/SCI, or program-specific requirement).

Specialized Knowledge/Skills Requirements

  • Experience with UAS, C-UAS, radar systems, RF analytics, or sensor fusion.
  • Familiarity with DoD or DHS data standards, tactical data links, and operational architectures.
  • Experience with real-time data processing, edge computing, or distributed systems.
  • Knowledge of geospatial data, intelligence data formats, or multi-INT fusion.
  • Background in DevSecOps, containerization, or infrastructure-as-code.

Licenses and Certifications

  • FAA Part 107 Remote Pilot Certification (required)

Physical Requirements / Working Conditions

  • Full-time, 40-hour workweek with flexibility for mission requirements.
  • Travel: Candidates should be willing to travel / TDY away from their home location for up to 30% of a typical work year, potentially to international diplomatic facilities and high-threat environments. Typical deployments are expected to be 7-30 days, however candidates should be willing support deployments up to 90 days in special circumstances
  • Physical requirements can include walking, climbing, crawling through small spaces, and standing or sitting for long periods of time.
  • Must meet most stringent country medical clearance requirements. Position requires adherence to approved vaccination protocols as determined by location.

Security Clearance Requirement:

An active Secret security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.Salary Range: $112,200.00 - $196,400.00We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.


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