Remote Sports Data Analyst & Strategist

Placements24; East London; Hybrid; ZAR 1,996,000 - 3,160,000; Full time

Benefits offered by this job

Fully remote position

Competitive salary

Work with leading sports organizations

Access to analytics software

Professional development

Job summary

Placements24 is recruiting a highly analytical Remote Sports Data Analyst & Strategist to join a leading sports analytics client. The role focuses on collecting, cleaning, and transforming large, multi-source datasets and turning raw data into actionable strategic insights for performance optimization.

You will build predictive models, develop dashboards, and deliver data-driven recommendations to professional teams, betting firms, and media partners.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years in data analysis and strategy, sports analytics preferred.
• Proficiency in Python or R and SQL databases.
• Strong modeling, ML, and data visualization knowledge.
• Experience communicating complex data to varied stakeholders.

Responsibilities

• Collect, clean, and transform large multi-sport datasets.
• Develop statistical models and ML algorithms to predict outcomes.
• Create reports, dashboards, and visualizations for clients.
• Translate client needs into data-driven strategies.
• Stay updated on data science and analytics advancements.
• Present findings and recommendations to clients.

Skills

Python

R

SQL

Statistical modeling

Machine learning

Data visualization

Education

Master's or PhD in Statistics, Data Science, CS, Mathematics, Economics, or related field

Tools

Tableau

Power BI

SQL databases

AWS/Azure/GCP

Job description

About the Role

Our client, a leading innovator in sports analytics, is seeking a highly analytical and strategic Remote Sports Data Analyst & Strategist to join their expanding team. This position is entirely remote, providing the ultimate flexibility to work from any location. The successful candidate will be instrumental in collecting, processing, and analyzing vast datasets from various sports, transforming raw data into actionable strategic insights. You will work closely with professional sports teams, betting platforms, and media organizations to develop data-driven strategies that enhance performance, inform decision-making, and create compelling content. The ideal candidate possesses exceptional quantitative skills, a deep understanding of statistical modeling, and a passion for sports. You will leverage cutting-edge analytical tools and techniques to uncover hidden patterns, predict outcomes, and identify opportunities for competitive advantage. This role demands a forward-thinking mindset and the ability to communicate complex findings effectively to a diverse range of stakeholders, contributing significantly to the client's leadership in the sports analytics domain.

Key Responsibilities

• Collect, clean, and transform large datasets from multiple sports sources (e.g., match data, player statistics, sensor data).
• Develop and implement advanced statistical models and machine learning algorithms to identify performance trends, predict outcomes, and optimize strategies.
• Create insightful reports, visualizations, and dashboards to communicate complex analytical findings to clients (teams, media, betting firms).
• Collaborate with clients to understand their specific needs and translate them into data-driven solutions and strategic recommendations.
• Identify new opportunities for data utilization and analytical innovation within the sports industry.
• Stay abreast of the latest advancements in data science, sports analytics, and relevant technologies.
• Develop predictive models for player performance, team success, and game outcomes.
• Ensure data integrity, accuracy, and adherence to privacy standards.
• Contribute to the development of proprietary analytical tools and platforms.
• Present findings and strategies to clients, ensuring clear understanding and buy-in.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis and strategy development, with a significant focus on sports analytics.
• Proficiency in programming languages such as Python or R, and experience with SQL databases.
• Strong knowledge of statistical modeling, machine learning techniques, and data visualization tools (e.g., Tableau, Power BI).
• Deep understanding of various sports, their rules, and performance metrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex information clearly and concisely.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A strong passion for sports and a data-driven mindset.

Benefits

• Fully remote position offering unparalleled flexibility and work-life balance.
• Highly competitive salary package commensurate with expertise and experience.
• Opportunity to work with leading sports organizations and influential clients.
• Access to cutting-edge analytics software and technology stack.
• Professional development opportunities and support for continuous learning.
• Collaborative and intellectually stimulating virtual work environment.
• Significant impact on sports strategy and decision-making globally.