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Executive Football Data Analyst Jobs in Delaware

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights. * Analyze large and diverse datasets (e.g ...

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Executive Football Data Analyst information

What does an executive football data analyst do?

An Executive Football Data Analyst is responsible for collecting, analyzing, and interpreting football-related data to support decision-making within a club or organization. They use advanced statistical methods and data visualization to evaluate player performance, develop tactical insights, and inform recruitment strategies. Their work helps coaches and executives make evidence-based decisions to improve team performance and gain a competitive edge. Executive analysts may also present findings to senior management and collaborate with other departments to ensure data-driven approaches are integrated into overall club operations.

What are the key skills and qualifications needed to thrive as an executive football data analyst?

To thrive as an Executive Football Data Analyst, you need a solid background in statistics, sports analytics, and data science, often supported by a relevant degree and experience in football analytics. Mastery of tools like Python, R, SQL, and advanced football data platforms (e.g., Opta, Wyscout) is typically required, along with certifications in analytics or sports management. Exceptional communication, critical thinking, and the ability to translate complex data into actionable insights are vital soft skills in this role. These capabilities enable analysts to drive strategic decision-making and provide a competitive edge to football organizations.

How does an executive football data analyst typically collaborate with coaching staff and other departments?

Executive Football Data Analysts work closely with coaching staff, scouts, and performance teams to translate data insights into actionable strategies. They attend regular meetings to present analytical findings, help design training plans based on performance metrics, and support recruitment decisions with statistical models. Effective communication is crucial, as analysts must explain complex data in an accessible way to non-technical stakeholders, ensuring insights are integrated into decision-making processes.

What is the difference between Executive Football Data Analyst vs Football Data Analyst?

AspectExecutive Football Data AnalystFootball Data Analyst
Required CredentialsBachelor's or Master's in Sports Analytics, Data Science, or related fieldsBachelor's in Sports Analytics, Data Science, or related fields
Work EnvironmentSenior-level, strategic roles within professional clubs or organizationsOperational roles, analyzing game data, and supporting coaching staff
Employer & Industry UsageExecutive teams, sports organizations, clubsCoaching staff, sports analytics departments
Common Search & ComparisonYesYes

The main difference between an Executive Football Data Analyst and a Football Data Analyst lies in their level of responsibility and focus. The Executive role involves strategic decision-making and leadership within sports organizations, while the Football Data Analyst focuses on data analysis to support coaching and game strategies. Both roles require similar educational backgrounds but differ in scope and seniority.

What are the most commonly searched types of Football Data Analyst jobs in Delaware?

The most popular types of Football Data Analyst jobs in Delaware are:

What are popular job titles related to Executive Football Data Analyst jobs in Delaware?

For Executive Football Data Analyst jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Executive Football Data Analyst jobs?

Cities in Delaware with the most Executive Football Data Analyst job openings:

Infographic showing various Executive Football Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analyst

Georgetown, DE • On-site

La Red Health Center Inc
Health Care and Social Assistance • 51 - 200 employees

Full-time

Posted 21 days ago


Job description

Description:

Job Summary:

This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insights. The position supports reporting, analytics, evaluation and performance improvement efforts across the organization. 

Essential Responsibilities:

The following duties are not intended to serve as a comprehensive list of all duties performed by all associates in this position. The duties listed are intended to provide a representative summary of the major duties and responsibilities. The incumbent may be required to perform additional, position-specific duties as assigned by their manager and/or LRHC Leadership.

Regulatory Reporting & Compliance

  • UDS Reporting: Manage the aggregation, validation, and submission of annual HRSA Uniform Data System (UDS) tables.
  • PCMH Maintenance: Track, analyze, and report on electronic clinical quality measures (eCQMs) required for Patient-Centered Medical Home (PCMH) recognition.
  • State & Federal Grants: Author data queries and generate structured reporting assets for federal, state, and private grant compliance (e.g., HRSA, Delaware DHSS).

Data Analysis & Business Intelligence

  • Dashboard Development: Design, deploy, and maintain interactive performance dashboards using Power BI or Tableau for clinical and administrative leadership.
  • EHR Optimization: Extract complex datasets from the Electronic Health Record (EHR) system (e.g., Epic/OCHIN, eClinicalWorks) utilizing SQL queries.
  • Ad-Hoc Analysis: Provide timely, data-driven answers to operational and clinical inquiries from executive leadership.

Quality Improvement (QI) Support

  • Clinical Metrics: Identify gaps in preventive care, chronic disease management, and social determinants of health (SDOH).
  • Population Health: Stratify high-risk patient panels to support care coordination and population health management.
  • Workflow Validation: Partner with clinical staff to evaluate data capture workflows and eliminate data entry errors at the point of care


Requirements:

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or competency required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. 

Education/Experience/Certification:

  • Required: Bachelor’s degree in health informatics, Data Science, Statistics, Public Health or a related field.
  • Minimum of 2–3 of Data Analysis experience in a healthcare environment

Language Skills:

Bilingual (English/Spanish) preferred


Skills and Competencies:

Technical Skills

  • Knowledge of HRSA Uniform Data System reporting
  • SQL: Advanced proficiency in writing SQL queries for relational databases.
  • BI Tools: Strong development experience using Power BI, Tableau, or equivalent visualization platforms.
  • EHR Systems: Experience extracting and interpreting data directly from health IT platforms (e.g., Epic/OCHIN, eClinicalWorks, NextGen).
  • Spreadsheets: Mastery of Microsoft Excel, including complex formulas, VLOOKUPs, and pivot tables.

Knowledge & Compliance

  • Regulations: Strong foundational understanding of HIPAA regulations and data security practices regarding Protected Health Information (PHI).
  • Healthcare Coding: Familiarity with standard clinical coding systems, including ICD-10, CPT, HCPCS, and LOINC.

Equipment Operated:

Wide range of office equipment.

Enterprise server infrastructure, firewalls, network switches, and access control hardware.

High proficiency and daily use of enterprise software suites (e.g., Microsoft 365, Active Directory, Epic EHR, and helpdesk ticketing workflows).


Mental/Physical Requirements:

Frequent sitting or standing for long periods while using a computer