Senior Mobile Game Ui Lead — Remote & Data-Driven

Hire Overseas; Johannesburg; Remote; ZAR 600,000 - 900,000; Full time

Job summary

Hire Overseas is seeking a Remote Sports Analyst to transform large datasets into actionable insights for coaches and management. The role emphasizes predictive modeling, KPI identification, and clear communication of findings in a fully remote setup.

You will work with cross-functional teams across sports, build dashboards, and stay updated on the latest analytics techniques to drive performance improvements.

Qualifications

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or related quantitative field.
• Proven experience as a data analyst or sports analyst with a strong portfolio of projects.
• Proficiency in Python or R with relevant libraries such as Pandas, NumPy, Scikit-learn.

Responsibilities

• Collect, clean, and analyze large datasets related to player performance, game statistics, and scouting information.
• Develop and implement statistical models and machine learning algorithms to identify KPIs and trends.
• Generate reports and visualizations that communicate insights to non-technical stakeholders clearly.
• Collaborate with coaching staff to provide data-driven recommendations for strategy and development.
• Stay current with advancements in sports analytics and related technologies.
• Contribute to the development of proprietary analytical tools and dashboards.

Skills

Analytical thinking

Data-driven decision making

Communication

Education

Master's or PhD in Statistics/Data Science/Sports Science/Mathematics

Tools

Python

R

Pandas

NumPy

Scikit-learn

Job description

Remote Sports Analyst - Data Driven Insights

Our client, a forward-thinking sports technology firm, is actively seeking a highly analytical and data-driven Remote Sports Analyst. This position is fully remote and focuses on leveraging advanced analytics to provide critical insights into player performance, team strategies, and game outcomes across various sports. You will work with large datasets, develop predictive models, and translate complex findings into actionable recommendations for coaches, scouts, and management. This is a unique opportunity for a talented analyst to contribute to the future of sports performance through data, working in a flexible, remote capacity from anywhere.

About the Role

Our client, a forward-thinking sports technology firm, is actively seeking a highly analytical and data-driven Remote Sports Analyst. This position is fully remote and focuses on leveraging advanced analytics to provide critical insights into player performance, team strategies, and game outcomes across various sports. You will work with large datasets, develop predictive models, and translate complex findings into actionable recommendations for coaches, scouts, and management. This is a unique opportunity for a talented analyst to contribute to the future of sports performance through data, working in a flexible, remote capacity from anywhere.

Key Responsibilities

• Collect, clean, and analyze large datasets related to player performance, game statistics, and scouting information.
• Develop and implement statistical models and machine learning algorithms to identify key performance indicators and trends.
• Generate comprehensive reports and visualizations that communicate complex data insights clearly to non-technical stakeholders.
• Collaborate with coaching staff and performance teams to provide data-driven recommendations for strategy and player development.
• Stay current with the latest advancements in sports analytics, data science techniques, and relevant technologies.
• Contribute to the development of proprietary analytical tools and dashboards.

Requirements

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
• Proven experience as a data analyst or sports analyst, with a strong portfolio of analytical projects.
• Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R