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Sports Analytics 🏢 Full Time ⭐️ Verified

Sports Performance Analyst

Vertex Elite Sports
Los Angeles
Salary Estimate
USD 90.000 – USD 120.000
Posting Time
2 Mei 2026
Deadline
2 Mei 2027

Job description

Vertex Elite Sports is seeking a data-driven Sports Performance Analyst to join our high-performance team in Los Angeles. This role blends sports science, data analytics, and coaching collaboration to optimize athlete performance across training cycles and competition.

We’re looking for a strategic thinker who can translate complex data into actionable insights, dashboards, and training recommendations that help elite athletes gain a competitive edge while maintaining the highest standards of athlete welfare and privacy.

Responsibility

  • Collect, clean, and validate performance data from wearable sensors, GPS, video, and strength/conditioning tests.
  • Develop, maintain, and communicate performance dashboards that inform coaching decisions and training planning.
  • Analyze biomechanical and physiological metrics to identify optimization opportunities and injury risk factors.
  • Collaborate with coaches, strength and conditioning staff, and medical team to translate analytics into actionable training plans.
  • Lead data-driven design of conditioning programs, recovery strategies, and load management protocols.
  • Ensure data governance, privacy, and ethical handling of athlete information; maintain audit trails and documentation.
  • Present findings to stakeholders with clear storytelling and executive-friendly visuals.

Qualification

  • Master’s degree in Exercise Science, Kinesiology, Data Science, or related field; PhD a plus.
  • 5+ years of experience in sports analytics or performance analysis within professional or high-performance environments.
  • Proficiency with Python or R, SQL, and data visualization tools (Tableau, Power BI, or similar).
  • Experience with wearable tech, motion capture, GPS systems, and sport-specific metrics.
  • Strong understanding of biomechanics, physiology, and load management principles.
  • Excellent communication and collaboration skills; ability to translate data into practical coaching recommendations.
  • Demonstrated ability to work under pressure in a fast-paced athletic setting; willingness to travel as needed.

Required Skills

data analytics Python R SQL data visualization Tableau Power BI sports science biomechanics athlete monitoring GPS wearables ML basics Excel

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