Remote Sports Data Analyst

Placements24; Cape Town; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Professional development

Job summary

Placements24 is recruiting a Remote Sports Data Analyst to join a globally distributed team. You will collect, process, and analyze large datasets covering athletic performance, fan engagement, and market trends, informing strategic decisions and player development.

The role requires strong Python and R analytics, SQL proficiency, and experience with Tableau or Power BI. You will collaborate with coaching staff, performance teams, and marketing to translate data into actionable insights.

Qualifications

• Bachelor’s or Master’s in Statistics, Data Science, CS or related quantitative field.
• 3+ years as a Data Analyst, preferably in sports analytics.
• Strong Python (Pandas, NumPy, Scikit-learn) and R skills.
• Experience with SQL and data visualization tools (Tableau/Power BI).

Responsibilities

• Collect, clean, and validate large sports datasets.
• Develop models to analyze player performance and team dynamics.
• Create visualizations and reports for stakeholders.
• Collaborate with coaching, performance, and marketing teams.
• Maintain data pipelines and ensure data integrity.

Skills

Python

R

SQL

Tableau/Power BI

Statistics

Education

Bachelor’s degree in quantitative field

Tools

SQL databases

Git

Job description

About the Role

Our client is revolutionizing the sports industry through data-driven insights and is seeking a talented and analytical Remote Sports Data Analyst to join their globally distributed team. This position is a 100% remote role, allowing you to contribute your expertise from anywhere. You will be responsible for collecting, processing, and analyzing vast datasets related to athletic performance, fan engagement, and market trends. Your findings will directly influence strategic decisions, player development, and the overall success of our sports ventures. This is an exciting opportunity to leverage cutting-edge technology and play a crucial role in shaping the future of sports analytics from the comfort of your own home office.

Key Responsibilities

• Collect, clean, and validate large datasets from various sports-related sources.
• Develop and implement statistical models and algorithms to analyze player performance, team dynamics, and competitive strategies.
• Interpret complex data to identify trends, patterns, and actionable insights.
• Create compelling data visualizations and reports to communicate findings to stakeholders.
• Collaborate with coaching staff, performance teams, and marketing departments to provide data-driven recommendations.
• Stay abreast of the latest advancements in sports analytics, machine learning, and data science techniques.
• Develop and maintain data pipelines and ensure data integrity and accuracy.
• Contribute to the development of predictive models for various sports outcomes.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience (3+ years) as a Data Analyst, preferably within the sports industry.
• Strong proficiency in data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and R.
• Experience with SQL and database management.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Excellent analytical and problem-solving skills.
• Ability to work independently and manage time effectively in a remote setting.
• Strong communication skills to present complex data clearly and concisely.
• A genuine passion for sports and a keen eye for detail.

Benefits

This fully remote position offers a highly competitive salary and the flexibility to work from any location. Our client provides a comprehensive benefits package including health and wellness programs, professional development allowances, and access to state-of-the-art analytical tools and platforms. You will be part of a forward-thinking company that values innovation and data-driven decision-making, with ample opportunities for growth and learning in the exciting field of sports analytics.