Fully Remote Sports Analytics Specialist

Placements24; Vereeniging; Hybrid; ZAR 986,000 - 1,479,000; Full time

Benefits offered by this job

Fully remote work arrangement

Access to analytics software and tools

Flexible work-life balance

Job summary

Placements24 is seeking a Remote Sports Analyst to join a distributed team, analyzing sports data, building predictive models, and delivering actionable insights to coaches and management from a home office. This role emphasizes data-driven decision making and remote collaboration with stakeholders across sports entities.

Ideal candidates have strong statistics or data science background, proficiency in Python/R/SQL, and the ability to work autonomously across time zones to support strategic

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Sports Management, or related quantitative field.
• Experience in data analysis, statistical modeling, and data visualization.
• Proficiency in Python, R, or SQL with data analysis libraries.
• Strong understanding of sports rules, strategies, and performance metrics.

Responsibilities

• Collect, clean, and analyze large datasets related to sports performance and game outcomes.
• Develop and implement statistical models and predictive analytics.
• Generate reports and visualizations to communicate findings to stakeholders.
• Collaborate remotely with coaching staff, management, and analysts to provide insights.
• Stay updated on advancements in sports analytics and data science techniques.
• Contribute to development of new analytical tools and methodologies.

Skills

Data analysis

Statistical modeling

Remote work

Deadline management

Problem solving

Education

Bachelor's degree in Statistics

Master's degree in Data Science

Tools

Python

R

SQL

Pandas

NumPy

Scikit-learn

Job description

Placements24 is seeking a Remote Sports Analyst to join a distributed team, analyzing sports data, building predictive models, and delivering actionable insights to coaches and management from a home office. This role emphasizes data-driven decision making and remote collaboration with stakeholders across sports entities.

Ideal candidates have strong statistics or data science background, proficiency in Python/R/SQL, and the ability to work autonomously across time zones to support strategic