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BRENDEN
Data Analyst
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Competencies
Demonstrated experience with Python.
Demonstrated experience with R.
Demonstrated experience with SQL.
Demonstrated experience with SAS.
Demonstrated experience with Tableau.
Education
Summary
Data Analyst open to new opportunities
Experience
Data Analyst
Conduct opponent and team performance analysis using data sourced from Pro Football Focus (PFF) Ultimate, focusing on coverage tendencies, blocking efficiencies, and run/pass concept success rates to support weekly game-planning.. Produce statistical summaries and visual breakdowns to identify player matchups, efficiency trends, and exploitable schematic patterns for defense and offense.. Develop and deliver weekly coach-ready scouting presentations to support game preparation and inform strategic planning.
Independent Data Analyst
Analyze player performance metrics, including hit/kill percentages, setter effectiveness by court location, rotation efficiency in securing kills, and block percentages by court zone, to inform strategy development and optimize player lineups.. Utilize R and Volleystation for data processing, visualization, and statistical reporting.
Statistics Intern
Compile and maintain real-time statistics for basketball, football, volleyball, and hockey teams, supporting accurate record keeping and in-game decision making.. Assist with post-game reporting, including recording and transcribing press conferences.