Head of Sports Analytics

Placements24

Mossel Bay

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

9 days ago
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Benefits offered by this job

Competitive salary
Health benefits
Professional development

Job summary

Placements24 in Mossel Bay invites applications for Head of Sports Analytics to lead a data-driven strategy that enhances team performance, player development, and strategic decisions. You will build and manage a team of data scientists and analysts, and communicate insights to stakeholders across the organization.

The ideal candidate holds a Master’s or Ph.D. in a quantitative field, 8+ years in sports analytics, proven leadership, and expert use of Python, R, SQL and Tableau to turn data into

Qualifications

  • Master's or Ph.D. in Data Science, Statistics, Sports Science, or related quantitative field.
  • Minimum of 8 years of experience in sports analytics or a similar data-intensive role.
  • Proven experience in leading analytical teams.
  • Expertise in statistical modeling, machine learning, and data visualization tools (e.g., Python, R, SQL, Tableau).
  • Deep understanding of various sports, performance metrics, and relevant data sources.
  • Excellent communication and presentation skills.

Responsibilities

  • Lead the development and implementation of a comprehensive sports analytics strategy.
  • Oversee the collection, cleaning, and analysis of large datasets related to player performance, game statistics, and fan engagement.
  • Develop predictive models and data visualizations to identify trends and inform strategic decisions.
  • Manage and mentor a team of sports data scientists and analysts.
  • Collaborate with coaching staff, management, and other departments to integrate data insights into operational practices.
  • Present complex analytical findings to both technical and non-technical audiences.

Skills

Leadership
Team management
Communication
Data science fundamentals

Education

Master's or PhD in Data Science or related field

Tools

Python
R
SQL
Tableau

Job description

About the Role

Our client is seeking a highly analytical and innovative Head of Sports Analytics to lead their data-driven strategy within the sports domain in Mossel Bay . This pivotal role involves leveraging advanced analytics to provide actionable insights that enhance team performance, player development, and strategic decision-making. You will build and manage a team of data scientists and analysts, develop cutting-edge analytical models, and communicate complex findings to stakeholders across the organization. The ideal candidate has a strong background in sports, data science, and leadership, coupled with a passion for uncovering hidden patterns that drive success in the competitive sports landscape.

Key Responsibilities
  • Lead the development and implementation of a comprehensive sports analytics strategy.
  • Oversee the collection, cleaning, and analysis of large datasets related to player performance, game statistics, and fan engagement.
  • Develop predictive models and data visualizations to identify trends and inform strategic decisions.
  • Manage and mentor a team of sports data scientists and analysts.
  • Collaborate with coaching staff, management, and other departments to integrate data insights into operational practices.
  • Present complex analytical findings to both technical and non-technical audiences.
Requirements
  • Master's or Ph.D. in Data Science, Statistics, Sports Science, or a related quantitative field.
  • Minimum of 8 years of experience in sports analytics or a similar data-intensive role.
  • Proven experience in leading and managing analytical teams.
  • Expertise in statistical modeling, machine learning, and data visualization tools (e.g., Python, R, SQL, Tableau).
  • Deep understanding of various sports, performance metrics, and relevant data sources.
  • Excellent communication and presentation skills.
Benefits
  • Highly competitive salary and bonus structure.
  • Comprehensive health and wellness benefits.
  • Access to advanced technological tools and resources.
  • Opportunity to shape the future of data in sports.
  • Professional development and conference attendance.
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