Senior Sports Data Analyst

Placements24; Pretoria; Hybrid; ZAR 550,000 - 750,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work model

Health/dental/vision insurance

Professional development

Access to analytics software

Job summary

Placements24 is seeking a highly analytical Senior Sports Data Analyst to join their Pretoria team. You will work with large sports datasets, build models, and translate insights into actionable recommendations for coaches and management.

The role blends on-site collaboration with remote flexibility in a hybrid setup, with access to advanced analytics tools and opportunities to contribute to fan engagement strategies and performance optimization.

Qualifications

• 5+ years of experience in data analysis with a focus on sports analytics or a related quantitative field.
• Proficiency in Python or R and SQL for data manipulation and analysis.
• Experience with data visualization tools (Tableau/Power BI) and statistical modeling.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or related field.

Responsibilities

• Collect, clean, and analyze large sports datasets from performance and engagement metrics.
• Develop and implement statistical models and algorithms to identify trends and patterns.
• Create data visualizations and reports for coaches, management, and stakeholders.
• Collaborate with technical teams to ensure data integrity and tool development.
• Provide data-driven recommendations to improve performance, game strategy, and fan experience.
• Mentor junior analysts and contribute to analytics best practices.

Skills

Python

R

SQL

Data visualization

Analytical thinking

Communication

Education

Bachelor's degree in Statistics/Mathematics/Computer Science/Sports Science

Tools

Tableau

Power BI

Job description

About the Role

Our client is looking for a highly analytical and experienced Senior Sports Data Analyst to join their dynamic team in Pretoria. This role is essential for leveraging vast amounts of sports data to provide actionable insights that enhance team performance, strategy, and fan engagement. You will work with cutting‑edge analytical tools and collaborate with coaches, performance staff, and management to translate complex data into clear, understandable recommendations. This hybrid role requires a blend of on‑site collaboration and remote flexibility, offering a unique opportunity to impact the strategic decisions within the Leisure & Sports domain.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sports performance and engagement metrics.
• Develop and implement sophisticated statistical models and algorithms to identify trends and patterns.
• Create compelling data visualizations and reports for coaches, management, and other stakeholders.
• Collaborate with technical teams to ensure data integrity and the development of new analytical tools.
• Provide data-driven recommendations to improve player performance, game strategies, and fan experience.
• Mentor junior analysts and contribute to the development of data analytics best practices.

Requirements

• 5+ years of experience in data analysis, with a specialization in sports analytics or a related quantitative field.
• Proficiency in statistical programming languages such as Python or R, and database querying languages like SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and a strong understanding of statistical modeling.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex findings to non-technical audiences.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or a related field.

Benefits

• Competitive salary and performance-based incentives.
• Hybrid work model balancing office collaboration and remote flexibility.
• Comprehensive health, dental, and vision insurance.
• Professional development opportunities and conference attendance.
• Access to advanced analytics software and resources.