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Sports Data Analyst

Job in Pretoria, 0002, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below

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.
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