Sports Data Analyst

Placements24; Pretoria; Hybrid; ZAR 420,000 - 600,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive salary with incentives

Professional development opportunities

Job summary

Placements24 in Pretoria is seeking a highly analytical Sports Data Analyst to join the team. You will collect, interpret, and analyze large sports datasets to provide actionable insights for performance improvement, strategy development, and fan engagement.

The role requires programming in Python or R, SQL, and experience with Tableau or Power BI, plus strong communication to present findings to coaches and management. A hybrid work setup supports work-life balance.

Qualifications

• Bachelor's degree in Statistics, Data Science, CS, or related quantitative field.
• Minimum of 3 years of data analysis experience, preferably in sports.
• Proficiency in Python or R and SQL.
• Experience with data visualization tools (Tableau/Power BI).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and process large datasets related to player performance, team statistics, and game analytics.
• Develop and implement statistical models and algorithms to identify KPIs and trends.
• Create comprehensive reports and visualizations to communicate data findings to coaches, management, and stakeholders.
• Conduct predictive analysis to forecast game outcomes and player performance.
• Collaborate with coaching staff to translate data insights into practical strategies for performance enhancement.
• Stay current with advancements in sports analytics and data science methodologies.

Skills

Analytical thinking

Communication skills

Problem-solving

Data storytelling

Education

Bachelor's degree in Statistics or related quantitative field

Tools

Python

R

SQL

Tableau

Power BI

Job description

About the Role

Our client seeks a highly analytical Sports Data Analyst to join their team in Pretoria . In this role, you will be responsible for collecting, interpreting, and analyzing complex sports data to provide actionable insights for performance improvement, strategy development, and fan engagement. You will work with cutting-edge tools and methodologies to uncover trends, predict outcomes, and enhance decision-making across various sports disciplines. This position is ideal for a data-driven individual with a passion for sports and a knack for transforming raw data into meaningful intelligence.

Key Responsibilities

• Collect, clean, and process large datasets related to player performance, team statistics, and game analytics.
• Develop and implement statistical models and algorithms to identify key performance indicators (KPIs) and trends.
• Create comprehensive reports and visualizations to communicate complex data findings to coaches, management, and other stakeholders.
• Conduct predictive analysis to forecast game outcomes and player performance.
• Collaborate with coaching staff to translate data insights into practical strategies for performance enhancement.
• Stay current with advancements in sports analytics and data science methodologies.

Requirements

• Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience in data analysis , preferably within the sports industry.
• Proficiency in programming languages such as Python or R, and database querying (SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software.
• Strong analytical, problem-solving, and communication skills .

Benefits

• Competitive salary package with performance incentives.
• Hybrid work arrangement offering work-life balance.
• Comprehensive medical and retirement benefits.
• Access to advanced analytical tools and professional development opportunities.
• An intellectually stimulating environment working with sports data.