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Full Time Nhl Data Analytics Jobs in Florida (NOW HIRING)

ManTech International

Data Analyst

Tampa, FL · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ...

CAI

Financial Data Analyst

Miramar, FL · Hybrid

R6473 Employment type: Full time Worksite flexibility: Onsite Who we are CAI is a global services ... Bachelor's degree in business, Data Analytics, Information Systems, or related field * 5+ years of ...

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

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

Full Time Nhl Data Analytics jobs near you
Infographic showing various Full Time Nhl Data Analytics job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

SQL Developer (Snowflake/Data Analytics)

Precision Technologies Corp

Tampa, FL • On-site

Full-time

Re-posted 16 days ago

Job description

Role:  SQL Developer (Snowflake/Data Analytics)

Location: Tampa, FL

Type: Full-Time

Our challenge

We are seeking a skilled SQL Developer with expertise in Snowflake and a strong background in data analytics to join our data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions, performing complex data analysis, and delivering actionable insights to support business objectives. This role requires a deep understanding of SQL, data warehousing, and aggregate data analysis techniques. 

Responsibilities:

  • Develop, optimize, and maintain SQL queries, stored procedures, and data pipelines within Snowflake.
  • Design and implement data models, schemas, and transformations to support reporting and analytics.
  • Collaborate with business stakeholders to understand data requirements and deliver analytical solutions.
  • Perform complex data analysis, data validation, and troubleshoot data issues.
  • Create and maintain dashboards, reports, and data visualizations to present insights effectively.
  • Ensure data accuracy, consistency, and security across data storage and reporting platforms.
  • Optimize Snowflake and SQL performance for large datasets and complex queries.
  • Conduct data quality audits and implement best practices for data governance.
  • Support data migration, integration, and ETL processes.
  • Stay informed about new features and best practices in Snowflake and data analytics tools.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 7+ years of hands-on SQL development experience, particularly with Snowflake.
  • Strong proficiency in SQL query writing, optimization, and performance tuning.
  • Experience with data modeling, schema design, and data warehousing concepts.
  • Ability to analyze large datasets and extract meaningful insights.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills and ability to work collaboratively across teams.

Preferred, but not required:

  • Experience with other cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery).
  • Knowledge of scripting languages such as Python or R for data analysis.
  • Familiarity with ETL tools and processes.
  • Certification in Snowflake or data analytics is a plus.