Senior Football Analyst

EXPIRED

Job Summary

The Senior Football Analyst will provide comprehensive analysis, insights and recommendations to support the coaching staff in strategic decision-making and player development. This position must adhere to all safety standards, ensure the well-being of student-athletes and support their academic success.

Job Duties & Responsibilities

• Assist the head coach in administering a highly competitive Division I Football Program
• Keep abreast of advancements in football analytics, technology, and coach methodologies
• Continuously seek opportunities for professional development and skill enhancement
• Collect, organize, and analyze football-related data from various sources, including game footage, statistical databases, and scouting reports
• Evaluate player performance using advanced statistical analysis and video breakdowns
• Identify key performance indicators and areas for improvement for individual players
• Conduct in-depth scouting and analysis of upcoming opponents to identify their strengths, weaknesses, and tendencies
• Provide insights to coaching staff to develop game plans and strategies
• Develop statistical models and predictive analytics to forecast game outcomes, player performance, and strategic trends
• Commits to and is responsible for adhering to all rules and regulations set forth for the team, the University, the SWAC and the NCAA with the utmost integrity
• Utilize video analysis tools to review game footage and break downplays, formations, and player movement

Job Summary

The Senior Football Analyst will provide comprehensive analysis, insights and recommendations to support the coaching staff in strategic decision-making and player development. This position must adhere to all safety standards, ensure the well-being of student-athletes and support their academic success.

Job Duties & Responsibilities

Apply Now


• Assist the head coach in administering a highly competitive Division I Football Program
• Keep abreast of advancements in football analytics, technology, and coach methodologies
• Continuously seek opportunities for professional development and skill enhancement
• Collect, organize, and analyze football-related data from various sources, including game footage, statistical databases, and scouting reports
• Evaluate player performance using advanced statistical analysis and video breakdowns
• Identify key performance indicators and areas for improvement for individual players
• Conduct in-depth scouting and analysis of upcoming opponents to identify their strengths, weaknesses, and tendencies
• Provide insights to coaching staff to develop game plans and strategies
• Develop statistical models and predictive analytics to forecast game outcomes, player performance, and strategic trends
• Commits to and is responsible for adhering to all rules and regulations set forth for the team, the University, the SWAC and the NCAA with the utmost integrity
• Utilize video analysis tools to review game footage and break downplays, formations, and player movement
• Perform other duties as assigned by the Head Football Coach

Qualifications

Minimum:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field
• Two to five years experience in coaching on the high school or intercollegiate level, working within the department of athletics
• Effective written/oral communication
• Strong understanding of football strategy, tactics and player roles
• Ability to work effectively with all collegiate personnel, students, alumni and community
• Sound judgement and maturity
• Experience with video analysis tools such as Hudl, XOS, or DVSport
• Must be knowledgeable of NCAA rules and regulations Preferred:
• Master’s degree
• Previous experience in intercollegiate athletics

Supplemental Information

Applications without the following will not be considered complete.

• Cover Letter
• Resume
• Transcript(s) if applicable
• Curriculum Vitae if applicable Review of applications will begin July 8th, 2024 and continue until position is filled.
  

State As a Model Employer