Senior Sports Data Analyst

Placements24; Sandton; Hybrid; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work model

Professional development budget

Cutting-edge technology

Job summary

Placements24 invites applications for a Senior Sports Data Analyst to join our client in Sandton. The role focuses on collecting, cleaning, and analyzing diverse sports data to drive performance, strategy, and fan engagement.

You will translate complex findings into actionable insights for coaches, management, and marketing teams. The ideal candidate possesses a strong quantitative background with 5+ years in sports data analytics, proficient in Python or R and SQL, and skilled in data

Qualifications

• Master's or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant portion focused on sports data.
• Proficiency in Python or R, and SQL for database querying.
• Experience with data visualization tools (Tableau, Power BI) and big data technologies.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, process, and analyze large datasets related to player performance, game statistics, and fan behavior.
• Develop and implement advanced statistical models and machine learning algorithms to identify trends and predict outcomes.
• Create compelling data visualizations and reports to communicate insights to diverse audiences.
• Collaborate with coaching staff, sports scientists, and marketing teams to provide data-driven recommendations.
• Identify new data sources and methodologies to improve analytical capabilities.

Skills

Python or R

SQL

Data visualization

Analytical thinking

Communication skills

Education

Master's or Ph.D. in Statistics/Data Science/Math/CS

Tools

Python

R

Tableau

Power BI

Big data technologies

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Sports Data Analyst to join their innovative team in Sandton . This role is pivotal in leveraging data to enhance athletic performance, strategic decision-making, and fan engagement across various sports. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets, translating findings into actionable insights for coaches, management, and marketing teams. The ideal candidate possesses a strong quantitative background, a deep passion for sports, and the ability to communicate intricate data narratives clearly to both technical and non-technical stakeholders within the Gauteng sports ecosystem.

Key Responsibilities

• Collect, process, and analyze large datasets related to player performance, game statistics, and fan behavior.
• Develop and implement advanced statistical models and machine learning algorithms to identify trends and predict outcomes.
• Create compelling data visualizations and reports to communicate complex insights effectively to various audiences.
• Collaborate with coaching staff, sports scientists, and marketing teams to provide data-driven recommendations.
• Identify new data sources and methodologies to improve analytical capabilities and uncover novel insights.
• Stay abreast of the latest trends and technologies in sports analytics and data science.

Requirements

• Master's or Ph.D. in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a significant portion focused on sports data.
• Proficiency in statistical programming languages such as Python or R, and database querying (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication skills, with the ability to explain complex data concepts clearly.
• Familiarity with various sports and their specific data nuances is a significant advantage in Sandton .

Benefits

• Highly competitive salary and comprehensive bonus structure.
• Hybrid work model offering flexibility and work-life balance.
• Opportunity to work with cutting-edge technology and influence high-level sports strategy.
• Professional development budget for conferences and further training.
• Collaborative and intellectually stimulating work environment in Gauteng .