Remote Sports Data Analyst: Turn Stats into Strategy

Placements24; Benoni; Hybrid; ZAR 350,000 - 600,000; Full time

Benefits offered by this job

Fully remote work

Conferences & training

Job summary

Placements24 is seeking a highly analytical Sports Data Analyst for a fully remote role. You will work with large sports datasets to identify trends, evaluate player and team performance, and translate findings into actionable insights.

You'll develop dashboards using Tableau/Power BI and apply R/Python for statistical analysis to support coaching and management with data-driven recommendations. A strong quantitative degree and problem-solving skills are essential.

Qualifications

• Proven experience as a Data Analyst, preferably within the sports industry.
• Strong proficiency in statistical analysis software (R, Python with Pandas, NumPy).
• Experience with data visualization tools (Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.

Responsibilities

• Collect, clean, and analyze large datasets related to player performance, game statistics, and other relevant metrics.
• Develop and maintain dashboards and reports to visualize key performance indicators (KPIs).
• Identify trends, patterns, and insights that can inform strategic decision-making for teams and organizations.
• Collaborate with coaches, scouts, and management to provide data-driven recommendations.
• Stay abreast of emerging trends and technologies in sports analytics.

Skills

Analytical thinking

Problem solving

Data interpretation

Communication

Education

Bachelor's or Master's in Statistics/Mathematics/CS

Tools

R

Python

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Sports Data Analyst for a fully remote role. You will work with large sports datasets to identify trends, evaluate player and team performance, and translate findings into actionable insights.

You'll develop dashboards using Tableau/Power BI and apply R/Python for statistical analysis to support coaching and management with data-driven recommendations. A strong quantitative degree and problem-solving skills are essential.