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Full Time Nhl Data Analytics Jobs (NOW HIRING)

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... on a full-time basis. The company does not anticipate providing sponsorship for employment visa ...

Strong analytical and problem-solving skills ... Previous Co-Op or full-time experience in a related field is a plus. * Experience taking large data ...

... data ecosystems, with a track record of designing comprehensive analytics, measurement, and ... on a full-time basis. The company does not anticipate providing sponsorship for employment visa ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Manager, Data Analytics

New York, NY ยท Remote

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

Manager, Data Analytics

New York, NY ยท On-site

$111K - $145K/yr

We're hiring a Manager of Data Analytics to join our Clinical Analytic Team. Oscar is the first ... Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 ...

... full-time opportunities, as available. Qorvo's Internship Program offers: * Challenging, skill ... Perform exploratory data analysis to identify trends, patterns, and insights * Support the ...

Analyze and mine data from multiple business systems to identify trends, opportunities, and ... Ability to work full-time (40 hours per week) in-person * Legal authorization to work in the United ...

$20.50 - $24/hr

Analyze and mine data from multiple business systems to identify trends, opportunities, and ... Ability to work full-time (40 hours per week) in-person * Legal authorization to work in the United ...

Data Analytics Intern

Greensboro, NC ยท On-site

$25 - $34/hr

... full-time opportunities, as available. Qorvo's Internship Program offers: * Challenging, skill ... Perform exploratory data analysis to identify trends, patterns, and insights * Support the ...

Manager, Data Analytics

Bentonville, AR ยท On-site

$80K - $155K/yr

As a Manager of Data Analytics, you will build and scale business analytics capabilities that ... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ...

Showing results 21-40

Full Time Nhl Data Analytics information

What is a full time NHL data analytics job?

Full Time NHL Data Analytics jobs involve analyzing hockey-related data to provide insights that help teams improve performance, make strategic decisions, and gain a competitive edge. Professionals in these roles use statistics, machine learning, and data visualization to evaluate player performance, game strategies, and scouting reports. They often work closely with coaches, scouts, and management to inform decisions using evidence-based analysis. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of hockey.

What are some common challenges faced by full time NHL data analytics professionals, and how can they be addressed?

Full-time NHL Data Analytics professionals often navigate challenges such as integrating large, complex datasets from multiple sources (player tracking, game stats, scouting reports), and translating technical findings into actionable insights for coaches and management. Collaborating effectively with hockey operations teams, who may have varying levels of data literacy, is crucial. Staying current with advanced analytics tools and methodologies, as well as maintaining clear communication, helps address these challenges and ensures that analytics contribute meaningfully to team performance and strategy.

What are the key skills and qualifications needed to thrive as a full time NHL data analytics professional, and why are they important?

A strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or sports analytics is essential for an NHL Data Analytics role. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of hockey analytics platforms are typically required. Excellent communication, critical thinking, and teamwork skills help translate data insights into actionable strategies for coaches and management. These abilities ensure accurate analysis, effective collaboration, and data-driven decision-making that can enhance team performance and competitive advantage.

What is the difference between Full Time Nhl Data Analytics vs Full Time Nhl Video Analyst?

AspectFull Time Nhl Data AnalyticsFull Time Nhl Video Analyst
CredentialsDegree in Data Science, Statistics, or related field; knowledge of analytics toolsExperience in video editing, sports analysis; understanding of hockey gameplay
Work EnvironmentOffice-based, data-focused, collaborative with analytics teamsOn-ice or video room, reviewing game footage, collaborating with coaching staff
Industry UsageCommonly used across teams for strategic insightsPrimarily used for game preparation and review

Full Time Nhl Data Analytics focuses on analyzing game data to inform team strategies, while Full Time Nhl Video Analyst reviews game footage to support coaching decisions. Both roles require sports knowledge but differ in tools and daily tasks, with data analysts emphasizing quantitative analysis and video analysts focusing on visual review.

How much do full time NHL data analysts make?

Full-time NHL data analysts typically earn between $50,000 and $80,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, with some analysts earning higher with advanced skills in data visualization, statistical analysis, and familiarity with tools like Python or R.

How to become a full time NHL data analyst?

To become a full-time NHL data analyst, candidates typically need a strong background in statistics, data analysis, or sports management, along with proficiency in tools like Excel, SQL, and data visualization software. Gaining experience through internships, networking within the sports industry, and understanding hockey-specific metrics are also important steps toward securing a full-time position.

What cities are hiring for Full Time Nhl Data Analytics jobs?

Cities with the most Full Time 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 Full Time Nhl Data Analytics jobs?

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

Data Analytics Coordinator

Louisiana Primary Care Association

Baton Rouge, LA โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Position Title: Data Analytics Coordinator
Fulltime Exempt
Supervisor: Analytics and Research Manager | Healthcare Technology and Optimization Manager | HCCN Project Manager
Position Summary: The Data Analytics Coordinator at the Louisiana Primary Care Association (LPCA) is responsible for supporting comprehensive data analytics initiatives and research activities across LPCA's network of Federally Qualified Health Centers (FQHCs). This role leverages analytical tools and methodologies to extract meaningful insights from healthcare data, supporting evidence-based decision-making and quality improvement efforts. The Data Analytics Coordinator collaborates with cross-functional teams to ensure completeness and accuracy of reports for process improvement, research initiatives, and grant compliance, while supporting LPCA's mission to promote accessible, affordable, quality healthcare services for underserved populations.
Responsibilities:
  • Collaborate with cross-functional teams to identify research objectives and key performance indicators (KPIs),
  • Develop reports and organize data visuals to communicate findings to stakeholders,
  • Assist in designing and executing research studies, including surveys, experiments, and observational studies,
  • Stay up-to-date with industry trends and best practices in analytics and research methodology,
  • Support the development and implementation of data-driven strategies to drive business growth and optimize performance,
  • Perform ad-hoc analysis and provide actionable recommendations to stakeholders,
  • Compile data and ensure validity from multiple assessments to develop profiles for each grant,
  • Create surveys and coordinate administration of surveys,
  • Query and translate data visually into tables, charts, graphs, and narrative presentations to produce user-friendly reports,
  • Support compliance efforts company grants to protect the confidentiality and accuracy of data,
  • Analyze, synthesize, and interpret reports for use in decision-making.

Requirements:
  •  Bachelor's degree. Minimum of 1-2 years of relevant experience in data analysis, research, project coordination, or administrative support, preferably in healthcare or government settings
  • Experience with data collection methodologies and report preparation
  • Understanding of one or more data analysis tools and programming languages such as Python, R, SQL, etc.
  • Proficiency with Microsoft Office Suite, particularly Excel for data manipulation and analysis
  • Experience with data aggregation and data visualization tools like Excel and Smartsheet
  • Familiarity with population health tools like i2i and Azara (preferred)
  • Knowledge of report writing and data presentation techniques
  • Detail-oriented with a strong commitment to accuracy and quality,
  • Ability to work independently and collaboratively in a fast-paced environment,
  • Communicate effectively, verbally, and in writing.