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Fulltime 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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Fulltime Nhl Data Analytics information

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

AspectFulltime Nhl Data AnalyticsSports Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; knowledge of hockey statisticsDegree in Sports Management, Data Science, or related; strong analytical skills
Work EnvironmentProfessional NHL team or league office, focused on hockey dataSports organizations, teams, or media outlets, covering various sports including hockey
Industry UsagePrimarily within NHL organizations, specialized in hockey analyticsBroader sports industry, covering multiple sports including hockey

Fulltime Nhl Data Analytics roles are specialized positions within NHL organizations focusing solely on hockey data. Sports Data Analysts may work across various sports, including hockey, but their roles are broader and less specialized in NHL-specific data. The key differences lie in industry focus, environment, and specific skill requirements.

How to become a fulltime 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 or entry-level roles in sports analytics and developing a deep understanding of hockey are also important steps.

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Fulltime Nhl Data Analytics jobs near you

SQL Developer (Snowflake/Data Analytics)

Precision Technologies Corp

Tampa, FL • On-site

Full-time

Re-posted 19 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.