Lead Sports Data Analyst

Placements24; Bloemfontein; On-site; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Fully remote work

Competitive salary and bonus

Comprehensive health insurance

Generous paid time off

Access to cutting-edge tools

Job summary

Placements24 is seeking an experienced Lead Sports Data Analyst to join our innovative team in a fully remote capacity. You will develop advanced models, process large sports datasets, and deliver actionable insights to coaches, management, and athletes.

The ideal candidate holds a Masters/PhD in a quantitative field, 5+ years in analytics (sports analytics preferred), and strong Python/R, SQL, and data-visualization skills to drive performance improvements.

Qualifications

• Master's or PhD in a quantitative field (stats, data science, CS, math).
• 5+ years of data analytics, with sports analytics focus.
• Proficiency in Python or R and data manipulation libraries.
• Strong SQL/database management knowledge.
• Experience with Tableau or Power BI and dashboard design.
• Excellent communication to present to non-technical audiences.

Responsibilities

• Develop and refine advanced models to track performance and outcomes.
• Collect and process large volumes of sports data from diverse sources.
• Translate findings into clear insights for coaches, management, athletes.
• Design dashboards and reports to visualize KPIs and trends.
• Collaborate with coaching staff to apply data insights to training.
• Mentor junior analysts and help grow the analytics function.

Skills

Data analysis

Statistical programming (Python/R)

Data visualization

Education

Masters/PhD in Statistics/Data Science/CS/Math or related

Tools

Python

R

SQL

Tableau

Power BI

Job description

Our client is looking for an experienced and analytical Lead Sports Data Analyst to join their innovative team, working remotely. This critical role involves leveraging vast datasets to provide actionable insights that drive performance improvements for athletes and teams. You will be responsible for developing sophisticated analytical models, interpreting complex data, and communicating findings effectively to coaches, management, and athletes. The ideal candidate is a strategic thinker with a strong quantitative background, a deep understanding of sports dynamics, and a passion for using data to gain a competitive edge. This is a unique opportunity to shape data-driven decision-making in the sports industry from a remote setting.

Key Responsibilities

• Develop, implement, and refine advanced analytical models to track athlete performance, team strategy, and game outcomes.
• Collect, clean, and process large volumes of sports data from various sources (e.g., performance metrics, video analysis, biometric data).
• Translate complex data findings into clear, concise, and actionable insights for stakeholders, including coaches and athletes.
• Design and create dashboards and reports to visualize key performance indicators and trends.
• Collaborate with coaching staff to integrate data insights into training programs and tactical planning.
• Mentor junior analysts and contribute to the development of the data analytics function within the organization.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data analysis, with a significant portion focused on sports analytics.
• Proficiency in statistical programming languages such as Python or R, and experience with data manipulation libraries.
• Strong knowledge of database management and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent communication skills and the ability to present complex information to non-technical audiences.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote work environment offering global flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and opportunities for continuous learning.
• Cutting-edge tools and technologies to support data analysis.