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Fulltime Nhl Data Analytics Jobs in Raleigh, NC (NOW HIRING)

The Wilson Group KW23

Data Analyst

Raleigh, NC · On-site +1

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

WIRB-Copernicus Group (WCG)

Senior Data Analyst

Cary, NC · On-site

$80K - $101K/yr

KMR Group INC Job Type: Full Time - Regular Description and Requirements EMPLOYER: WCG Clinical, Inc. TITLE: Senior Data Analyst DUTIES: Produce business and market intelligence by querying data ...

Sarian, Inc.

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Role: Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset: Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in Cognos Report ...

CGI Inc.

Data Quality Analyst

Raleigh, NC · On-site

Data Quality Analyst Category: Testing/Quality Assurance Main location: United States, North ... J0726-2626 Employment Type: Full Time U.S. - The best version of me By playing this video you ...

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Fulltime Nhl Data Analytics information

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$23

$53

$91

How much do fulltime nhl data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for fulltime nhl data analytics in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 per hour, depending on experience, location, and employer.

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 much do fulltime NHL data analysts make?

Fulltime 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 statistics, programming, and sports analytics tools.

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 toward securing a full-time position.
What are popular job titles related to Fulltime Nhl Data Analytics jobs in Raleigh, NC? For Fulltime Nhl Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Fulltime Nhl Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Fulltime Nhl Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Fulltime Nhl Data Analytics jobs? Cities near Raleigh, NC with the most Fulltime Nhl Data Analytics job openings:
Fulltime Nhl Data Analytics jobs near you
Infographic showing various Fulltime Nhl Data Analytics job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% Locum Tenens, 2% Internship, 67% Full Time, 10% Part Time, 19% Temporary, and 1% Contract. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution, with an average salary of $110,694 per year, or $53.2 per hour.

Data Analytics Business Analyst (Full-Time Remote)

Alliance

Morrisville, NC • On-site, Remote

$81K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Elicit and Document Analytics Requirements
  • Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
  • Capture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)
  • Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomes
  • Analyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
  • Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
  • Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics

Translate Requirements into Analytical Specifications
  • Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)
  • Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable components
  • Ensure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions

Plan and Execute Testing of Analytical Solutions
  • Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
  • Support business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cycles
  • Verify performance (e.g., query response time, model runtime) against agreed upon thresholds

Support Implementation and Ongoing Operations
  • Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
  • Monitor initial production runs, perform data reconciliations, and address any discrepancies that arise
  • Participate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement

Maintain Documentation and Knowledge Base
  • Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to date
  • Author and refresh end user guides, technical "how to" documents, and metadata catalogs in line with departmental standards

Communication and Collaboration
  • Translate complex analytical concepts into clear language for both technical and non technical audiences
  • Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
  • Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance

Continuous Improvement
  • Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
  • Define and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracy
  • Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Minimum Requirements
Education and Experience
Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science;
Or
Associate's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science;
Or
Bachelor's degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.
Knowledge, Skills, & Abilities
  • SQL (preferably T-SQL)
  • Communication skills
  • Data Visualization Tools
  • Software Development Life Cycle (SDLC)
  • Data Governance
  • Documentation Tools and Platforms

Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$81,873-104,388/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long and Short-Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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