Sports Analyst

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

Benefits offered by this job

Competitive salary

Fully remote work setup with flexible/

Professional development

Collaborative team environment

Job summary

Placements24 is seeking a highly analytical Sports Analyst to join our client’s growing team. This fully remote position requires a deep understanding of sports data, statistical modeling, and performance metrics to inform strategic decisions for teams, leagues, or betting platforms.

You will gather, interpret, and present complex data, develop predictive models, create clear reports and visualizations, and collaborate with stakeholders across departments to ensure data integrity and actionable

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Mathematics, or a related quantitative field.
• Proven experience as a Sports Analyst or in a similar data analysis role.
• Proficiency in statistical software and programming languages (e.g., R, Python, SQL).
• Strong understanding of various sports and their associated metrics.

Responsibilities

• Collect and analyze large datasets related to sports performance, player statistics, and game outcomes.
• Develop predictive models and statistical analyses to identify trends and forecast results.
• Create clear and concise reports, visualizations, and presentations of findings for stakeholders.
• Collaborate with coaching staff, management, or clients to understand data needs and provide insights.
• Stay abreast of industry trends, new analytical techniques, and relevant sports developments.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of data-driven strategies within the sports domain.

Skills

Statistical analysis

Sports analytics

Data visualization

Python

SQL

Education

Bachelor's degree in Statistics Data Science

Master's degree in related quantitative field

Tools

R

Python

SQL

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Sports Analyst to join their growing team. This fully remote position requires a deep understanding of sports data, statistical modeling, and performance metrics. You will be responsible for gathering, interpreting, and presenting complex data to provide actionable insights that inform strategic decisions for teams, leagues, or betting platforms. This role is ideal for a quantitative mind passionate about sports, offering the flexibility to work from anywhere while contributing significantly to data-driven sports intelligence. You will collaborate virtually with stakeholders across various departments.

Key Responsibilities

• Collect and analyze large datasets related to sports performance, player statistics, and game outcomes.
• Develop predictive models and statistical analyses to identify trends and forecast results.
• Create clear and concise reports, visualizations, and presentations of findings for stakeholders.
• Collaborate with coaching staff, management, or clients to understand data needs and provide insights.
• Stay abreast of industry trends, new analytical techniques, and relevant sports developments.
• Ensure data integrity and accuracy throughout the analysis process.
• Contribute to the development of data-driven strategies within the sports domain.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Mathematics, or a related quantitative field.
• Proven experience as a Sports Analyst or in a similar data analysis role.
• Proficiency in statistical software and programming languages (e.g., R, Python, SQL).
• Strong understanding of various sports and their associated metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to communicate complex findings effectively to both technical and non-technical audiences.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote work setup with flexible working hours.
• Opportunity to work with cutting-edge sports data and analytics.
• Professional development and continuous learning opportunities.
• Collaborative environment with a team of sports data enthusiasts.