Sports Performance Analytics Specialist — Pretoria

Placements24; Pretoria; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Elite athletes access

Top-tier analytics tools

Professional development

Job summary

Placements24 is seeking a highly analytical Sports Analyst to join our Pretoria team. You will analyze performance data with advanced models and translate findings into actionable guidance for coaches and athletes, influencing training and competition strategies.

Ideal candidates will combine domain sports knowledge with strong programming skills in R or Python, and be capable of delivering clear, concise reports to non-technical stakeholders.

Qualifications

• Proven experience as a Sports Analyst or similar data role in sports.
• Strong proficiency in statistical tools (R, Python with Pandas/NumPy) and DB management.
• Deep understanding of multiple sports, rules, and performance indicators.
• Excellent analytical and problem-solving skills with attention to detail.
• Ability to communicate findings clearly to non-technical audiences.

Responsibilities

• Collect, process and analyze performance data from various sports.
• Develop statistical models to identify trends and predict outcomes.
• Create reports and visualizations for coaches, athletes and management.
• Collaborate with coaching staff to integrate data insights into training and tactics.
• Stay updated on advances in sports analytics and methodologies.
• Provide data-backed feedback to support athlete development and strategy.

Skills

Proven experience

Statistical analysis

Sports knowledge

Analytical thinking

Clear communication

Education

Bachelor's or Master's in Statistics/Data Science/Sports Science

Tools

R

Python (Pandas, NumPy)

Database management

Job description

Placements24 is seeking a highly analytical Sports Analyst to join our Pretoria team. You will analyze performance data with advanced models and translate findings into actionable guidance for coaches and athletes, influencing training and competition strategies.

Ideal candidates will combine domain sports knowledge with strong programming skills in R or Python, and be capable of delivering clear, concise reports to non-technical stakeholders.