Sports Analytics Specialist - Klerksdorp

Placements24; Klerksdorp; Hybrid; ZAR 344,000 - 827,000; Part time

Benefits offered by this job

Fully remote role

Competitive contractor rate

Knowledge sharing

Job summary

Placements24 is seeking a sharp and analytical Sports Analytics Specialist to support remote operations for Klerksdorp sports initiatives. You will collect, clean, and analyze large datasets to deliver insights on athlete performance, fan engagement, and operational efficiency.

You will translate complex data into actionable recommendations, collaborating with coaches, managers, and marketing teams. A strong foundation in statistics and data tools is essential, with the flexibility of a fully

Qualifications

• Proven experience as a Data Analyst or in a similar analytical role, with a focus on sports data.
• Strong proficiency in statistical analysis, data mining techniques, and relevant software (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• A Bachelor's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.

Responsibilities

• Collect, clean, and process diverse datasets related to athlete performance, game statistics, and fan behavior.
• Develop and implement statistical models and analytical frameworks to identify trends and insights.
• Create clear and concise reports and visualizations to communicate findings to non-technical stakeholders.
• Collaborate with coaching staff and management to translate data insights into actionable strategies for performance improvement.
• Stay current with advancements in sports analytics, data science, and relevant technologies.

Skills

Statistical analysis

Data cleaning & preprocessing

Remote work

Communication of insights

Education

Bachelor's degree in Statistics/Data Science/CS/Sports Science

Tools

Python

R

SQL

Tableau

Power BI

Job description

About the Role

Our client is looking for a sharp and analytical Sports Analytics Specialist to join their team remotely, supporting operations related to Klerksdorp sports initiatives. This role involves collecting, processing, and analyzing large datasets to provide insights that inform strategic decisions in athlete performance, fan engagement, and operational efficiency. You will work closely with coaches, managers, and marketing teams to translate complex data into actionable recommendations. This is an excellent opportunity for a data-driven individual passionate about sports to make a significant impact from anywhere.

Key Responsibilities

• Collect, clean, and process diverse datasets related to athlete performance, game statistics, and fan behavior.
• Develop and implement statistical models and analytical frameworks to identify trends and insights.
• Create clear and concise reports and visualizations to communicate findings to non-technical stakeholders.
• Collaborate with coaching staff and management to translate data insights into actionable strategies for performance improvement.
• Stay current with advancements in sports analytics, data science, and relevant technologies.

Requirements

• Proven experience as a Data Analyst or in a similar analytical role, with a focus on sports data.
• Strong proficiency in statistical analysis, data mining techniques, and relevant software (e.g., Python, R, SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Excellent problem-solving skills and the ability to work independently in a remote setting.
• A Bachelor's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.

Benefits

• Competitive contractor rate with potential for project extensions.
• Flexibility of a fully remote role , allowing for work from any location.
• Opportunity to work with cutting-edge sports analytics tools and methodologies.
• Gain experience across various sports disciplines and contribute to data-driven decision-making.
• Collaborative virtual environment with opportunities for knowledge sharing.