Hybrid Senior Sports Analytics Lead

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

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