Head of Sports Analytics and Performance Insights

Placements24

Bloemfontein

Hybrid

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

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Bonuses based on performance
Health insurance
Retirement plan
Professional development opportunities
Access to advanced analytics tools
Flexible working arrangements
Paid time off
Employee assistance program

Job summary

Placements24 in Bloemfontein seeks a visionary Head of Sports Analytics and Performance Insights to lead data-driven decisions that elevate athlete performance and program effectiveness.

You will guide a team of analysts, translate complex data into actionable insights, and collaborate with coaches, athletes, and management to drive continuous performance improvements.

Qualifications

  • Master's degree or PhD in a quantitative field.
  • 7+ years of data analytics experience, with a focus on sports performance analysis.
  • Proven experience leading analytical teams.
  • Proficiency in Python or R and SQL.
  • Experience with Tableau or Power BI and ML techniques.
  • In-depth knowledge of sports science principles and performance metrics.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Develop and implement a comprehensive data analytics strategy to support sports performance and strategic planning.
  • Lead, mentor, and manage a team of sports data analysts and performance scientists.
  • Collect, clean, and analyze large datasets related to athlete performance, training, and competition.
  • Develop predictive models and analyses to identify KPIs and predict outcomes.
  • Create visualizations and reports to communicate insights to coaches, athletes, and management.
  • Collaborate with coaching staff to integrate data insights into training programs and game strategies.
  • Identify and implement new technologies and methodologies for data collection and analysis.
  • Stay informed on advancements in sports analytics and performance tech.
  • Ensure data integrity, security, and ethical use across analytics processes.
  • Present findings to senior leadership and stakeholders to influence decisions.

Skills

Data analytics leadership
Sports performance analysis
Statistical modeling
Python
R
SQL
Data visualization
Communication skills

Education

Master's degree or PhD in Data Science/ Statistics/ Sports Science/ Computer Science or related field

Tools

Python
R
SQL
Tableau
Power BI

Job description

Our client, a forward-thinking organization in the Leisure & Sports domain, is seeking an innovative and data-driven Head of Sports Analytics and Performance Insights for their operations in Bloemfontein, Free State . This critical role will be responsible for leveraging advanced analytics to enhance athlete performance, strategic decision-making, and overall sports program effectiveness. The ideal candidate will possess a strong background in data science, statistical modeling, and a deep understanding of sports performance metrics. You will lead a team of analysts, translate complex data into actionable insights, and collaborate closely with coaches, athletes, and management to drive performance improvements. This position demands a combination of technical expertise, strategic vision, and excellent communication skills to effectively convey insights to diverse audiences. We are looking for a leader who can champion a data-centric approach to sports, uncovering new ways to optimize training, identify talent, and gain a competitive edge. This is an exciting opportunity to make a substantial impact in a key area of modern sports.

Key Responsibilities
  • Develop and implement a comprehensive data analytics strategy to support sports performance, talent identification, and strategic planning.
  • Lead, mentor, and manage a team of sports data analysts and performance scientists.
  • Collect, clean, and analyze large datasets related to athlete performance, training, and competition.
  • Develop predictive models and statistical analyses to identify key performance indicators (KPIs) and predict outcomes.
  • Create compelling visualizations and reports to communicate complex data insights to coaches, athletes, and management.
  • Collaborate with coaching staff to integrate data insights into training programs and game strategies.
  • Identify and implement new technologies and methodologies for data collection and analysis.
  • Stay abreast of the latest advancements in sports analytics, data science, and performance technology.
  • Ensure data integrity, security, and ethical use across all analytical processes.
  • Present findings and recommendations to senior leadership and relevant stakeholders, influencing data-driven decision-making.
Requirements
  • Master's degree or PhD in Data Science, Statistics, Sports Science, Computer Science, or a related quantitative field.
  • Minimum of 7 years of experience in data analytics, with a specialization in sports performance analysis.
  • Proven experience in leading and managing analytical teams.
  • Strong proficiency in statistical programming languages (e.g., Python, R) and database management (SQL).
  • Experience with data visualization tools (e.g., Tableau, Power BI) and machine learning techniques.
  • In-depth knowledge of sports science principles and performance metrics across various disciplines.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Outstanding communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Ability to work collaboratively in a fast-paced, team-oriented environment.
  • A passion for sports and a commitment to using data to drive performance excellence.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and vision insurance package.
  • Generous retirement savings plan.
  • Opportunities for continuous professional development, including advanced training and certifications.
  • Access to cutting-edge analytical tools and technologies.
  • A stimulating work environment with a focus on innovation and data-driven insights.
  • Paid time off for personal and professional development.
  • Potential for flexible working arrangements.
  • Employee assistance program.
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