Sports Data Analyst

Placements24; Pietermaritzburg; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Remote work

Health insurance

Paid time off

Flexible hours

Access to analytics tools

Conferences & workshops

Job summary

Placements24 is seeking a highly analytical Sports Data Analyst to interpret large datasets from player statistics, game events, and fan engagement. You will build models, identify KPIs, and communicate insights to sports teams and stakeholders.

The role is fully remote with a distributed team, requiring strong collaboration and clear communication of complex findings to both technical and non-technical audiences.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 3+ years of experience as a Data Analyst or similar role in sports.
• Proficient in Python or R and SQL.
• Experience with data visualization tools like Tableau/Power BI.
• Strong statistical modeling, ML techniques, and experimental design.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and process large sports datasets from multiple sources.
• Develop statistical models and ML algorithms to analyze performance.
• Identify trends and anomalies to provide actionable insights.
• Create visual reports to communicate findings to stakeholders.
• Collaborate with teams to understand data needs and deliver solutions.
• Develop predictive models for player performance and game outcomes.
• Stay updated with advances in data science and sports tech.
• Contribute to analytical tool development and platforms.
• Present findings clearly to diverse audiences.
• Ensure data integrity throughout the analytics process.

Skills

Python

R

Statistics

Machine learning

Experimental design

Communication

Education

Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or related field

Tools

SQL

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client, a leading analytics firm specializing in the sports industry, is seeking a highly analytical and results-oriented Sports Data Analyst. This role is crucial for interpreting complex datasets, identifying key performance indicators, and providing actionable insights that drive strategic decisions for sports teams and organizations. You will work with a variety of data sources, including player statistics, game events, performance metrics, and fan engagement data. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and data visualization techniques, coupled with a genuine passion for sports. This position offers a unique opportunity to leverage cutting-edge analytical tools and methodologies to contribute to the success of our clients in the competitive sports landscape. As this is a fully remote position, you will collaborate with a distributed team of experts, utilizing advanced communication and collaboration tools to achieve project goals. We are looking for individuals who are not only technically proficient but also possess excellent communication skills to articulate complex findings clearly and concisely to both technical and non-technical audiences.

Key Responsibilities

• Collect, clean, and process large datasets from various sports-related sources.
• Develop and implement statistical models and machine learning algorithms to analyze player and team performance.
• Identify trends, patterns, and anomalies in sports data to uncover actionable insights.
• Create compelling data visualizations and reports to communicate findings to stakeholders.
• Collaborate with sports teams, coaches, and management to understand their data needs and provide tailored solutions.
• Develop predictive models for player performance, game outcomes, and fan behavior.
• Stay current with the latest advancements in data science, analytics, and sports technology.
• Contribute to the development of analytical tools and platforms.
• Present findings and recommendations clearly and effectively to diverse audiences.
• Ensure data integrity and accuracy throughout the analytical process.

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 or in a similar analytical role, preferably within the sports industry.
• Strong proficiency in programming languages such as Python or R.
• Experience with SQL and database management.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Solid understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
• Passion for sports and an understanding of sports analytics concepts.
• Ability to work independently and as part of a remote team.

Benefits

• Highly competitive salary package.
• Fully remote work environment, allowing for flexibility in location.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working hours.
• Access to cutting-edge analytics software and tools.
• Opportunities for professional growth and development in a rapidly expanding field.
• Contribution to conferences and workshops.
• Engaging work on high-profile sports analytics projects.
• A collaborative and intellectually stimulating remote team culture.