Sports Analytics Lead

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work flexibility

Stock options

Health insurance

Job summary

Placements24 in Port Elizabeth is seeking a Sports Analytics Lead to drive data-informed decisions across sports initiatives. You will develop advanced models for player performance, team strategy, fan engagement, and operations, translating complex data for coaches and marketing teams.

The role requires a strong statistical background, proficiency in R/Python, and experience with SQL and visualization tools. You will mentor junior analysts and lead analytics innovation.

Qualifications

• Master's or PhD in Statistics, Data Science, Mathematics, or related field.
• Minimum 5 years of experience in data analytics, with focus on sports analytics.
• Strong proficiency in R or Python and data visualization.
• Experience with SQL and dashboard tools for stakeholders.

Responsibilities

• Design, develop, and maintain statistical models to analyze player performance and predict outcomes.
• Collaborate with coaching staff to provide data-driven insights for strategy.
• Analyze fan engagement data to optimize marketing campaigns.
• Develop dashboards and reports to communicate findings to non-technical stakeholders.
• Stay current with advancements in sports analytics and data science techniques.
• Manage and mentor junior analysts to foster a data-centric culture.

Skills

R

Python

Statistics

Analytical thinking

Mentorship

Education

Master's or PhD in Statistics/Data Science/Mathematics

Tools

SQL

Tableau

Power BI

Job description

About the Role

Our client is looking for a talented and analytical Sports Analytics Lead to join their team in Port Elizabeth and drive data-informed decision-making across their sports initiatives. You will be responsible for developing and implementing advanced analytical models to gain insights into player performance, team strategies, fan engagement, and operational efficiency. This role requires a strong statistical background, proficiency in data visualization tools, and the ability to translate complex data into actionable recommendations for coaches, management, and marketing teams.

Key Responsibilities

• Design, develop, and maintain statistical models to analyze player performance, identify trends, and predict outcomes.
• Collaborate with coaching staff to provide data-driven insights and support strategic decision-making.
• Analyze fan engagement data to optimize marketing campaigns and enhance the fan experience.
• Develop dashboards and reports to communicate complex analytical findings to non-technical stakeholders.
• Stay current with advancements in sports analytics, machine learning, and data science techniques.
• Manage and mentor junior analysts, fostering a data-centric culture within the organization.

Requirements

• Master's degree or PhD in Statistics, Data Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data analytics, with a significant focus on sports analytics.
• Strong proficiency in statistical programming languages such as R or Python.
• Experience with database management (SQL) and data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical, problem-solving, and communication skills.
• Demonstrated ability to work collaboratively in a fast-paced sports environment.

Benefits

• Competitive salary with performance-based bonuses and stock options.
• Remote work flexibility, allowing you to work from your preferred location.
• Comprehensive health insurance and retirement planning benefits.
• Access to cutting-edge analytics software and resources.
• Be at the forefront of innovation in sports performance and strategy.