Sports Analyst - Performance Data

Placements24; Gqeberha; Hybrid; ZAR 480,000 - 600,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Professional development budget

Work with professional athletes

Competitive salary

Job summary

Placements24 is seeking a highly analytical Sports Analyst to join our team remotely, supporting performance data for athletes and teams. You will extract insights from large datasets, build predictive models, and translate findings into actionable recommendations for coaches and management.

The ideal candidate has 3+ years in sports analytics, strong skills in R/Python and data visualization (Tableau/Power BI), and excellent communication to translate technical results to non-technical

Qualifications

• Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in sports analytics or data analysis.
• Proficiency in statistical software (R, Python) and data visualization tools (Tableau, Power BI).
• Strong understanding of sports rules, strategies, and performance metrics.
• Excellent analytical, problem-solving, and communication skills.
• Experience with database management and SQL is a plus.

Responsibilities

• Collect, clean, and analyze large datasets related to athlete performance, game statistics, and training loads.
• Develop predictive models and statistical analyses to identify performance trends and opportunities for improvement.
• Create compelling visualizations and reports to communicate findings to coaches and management.
• Collaborate with coaching staff to integrate data insights into training and game strategies.
• Stay current with advancements in sports analytics, data science techniques, and relevant technologies.
• Assist in the development and implementation of new data collection methods and tools.

Skills

Statistical analysis

Python/R

Data visualization

SQL

Sports analytics

Education

Bachelor's degree in a quantitative field

Tools

R

Python

Tableau

Power BI

Job description

About the Role

Our client is looking for a highly analytical and data-driven Sports Analyst specializing in performance data to join their team, supporting operations remotely. This role is crucial for extracting insights from complex datasets to enhance athletic performance, strategy, and player development. You will work closely with coaches and performance staff to translate raw data into actionable recommendations. The ideal candidate possesses a strong statistical background, a passion for sports, and the ability to communicate technical findings clearly. This is a fully remote position, offering flexibility and the chance to impact sports performance from anywhere.

Key Responsibilities

• Collect, clean, and analyze large datasets related to athlete performance, game statistics, and training loads.
• Develop predictive models and statistical analyses to identify performance trends and opportunities for improvement.
• Create compelling visualizations and reports to communicate findings to coaches and management.
• Collaborate with coaching staff to integrate data insights into training and game strategies.
• Stay current with advancements in sports analytics, data science techniques, and relevant technologies.
• Assist in the development and implementation of new data collection methods and tools.

Requirements

• Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in sports analytics or data analysis.
• Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports rules, strategies, and performance metrics.
• Excellent analytical, problem-solving, and communication skills.
• Experience with database management and SQL is a plus.

Benefits

• Competitive salary and potential for performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Opportunities to work with professional athletes and leading sports organizations.
• Professional development budget for courses and conferences.
• Contribution to impactful sports performance insights and innovation.