Sports Data Analyst

Placements24; Bloemfontein; Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work arrangement

Access to cutting-edge tools

Growth opportunities

Job summary

Placements24 in Bloemfontein is seeking a highly analytical Sports Data Analyst to join a hybrid team. You will collect, process, and interpret complex athletic performance datasets to inform player development and team strategy.

The role requires strong quantitative skills, Python or R, and data visualization experience with Tableau or Power BI, with collaboration across coaching staff to drive data-driven decisions.

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, or related quantitative field.
• Proven experience in data analysis with statistical modeling and ML techniques.
• Proficiency in Python or R and experience with data visualization tools.

Responsibilities

• Collect and clean large volumes of sports-related data from various sources.
• Develop and implement statistical models and algorithms to analyze performance.
• Generate reports and visualizations to communicate findings to coaches and management.
• Identify trends and actionable insights to improve team strategy and player development.
• Collaborate with coaching staff to provide data-driven recommendations.
• Stay updated on analytics methodologies in sports data science.

Skills

Statistics

Data Science

Python

R

Tableau

Power BI

Education

Bachelor's or Master's in Statistics

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and technically skilled Sports Data Analyst to join their innovative team, working in a hybrid model. You will be responsible for collecting, processing, and interpreting complex datasets related to athletic performance, game statistics, and fan engagement. Your insights will be crucial in informing strategic decisions for player development, team performance optimization, and fan experience enhancement. This role requires a strong quantitative background, proficiency in data analysis tools, and a passion for sports.

Key Responsibilities

• Collect and clean large volumes of sports-related data from various sources, ensuring data integrity.
• Develop and implement statistical models and algorithms to analyze player and team performance.
• Generate insightful reports and visualizations to communicate findings to coaches, management, and stakeholders.
• Identify trends, patterns, and actionable insights that can improve team strategy and player development.
• Collaborate with coaching staff to provide data-driven recommendations and support decision-making processes.
• Stay abreast of the latest developments in sports analytics and data science methodologies.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Proven experience in data analysis , with a strong understanding of statistical modeling and machine learning techniques.
• Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with sports data sources and a passion for sports analytics.
• Excellent problem-solving skills and the ability to work effectively in a team environment.

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work arrangement offering flexibility between remote and office-based work.
• Access to cutting-edge data analysis tools and technologies.
• Opportunities for professional growth and learning in a rapidly evolving field.
• Be part of a forward-thinking organization that values data-driven decision-making.