Remote Sports Data Analyst

Placements24; LegKraal Gate; Hybrid; ZAR 1,162,000 - 1,826,000; Full time

Benefits offered by this job

Remote-first role

Competitive salary

Professional development opportunities

Challenging data projects

Job summary

Placements24 is seeking a highly analytical Remote Sports Data Analyst to dive into complex datasets and extract actionable insights that drive performance, strategy, and fan engagement. The role emphasizes a strong quantitative background, sports metrics knowledge, and remote-first collaboration with cross-functional teams.

You will build predictive models, develop dashboards, and communicate findings to stakeholders using Python/R, SQL, and BI tools in a fully remote environment.

Qualifications

• Bachelor's or Master's in a quantitative field (stats, data science, CS, math).
• At least 4 years in data analysis with sports analytics focus.
• Proficiency in Python or R.
• Strong SQL data extraction/manipulation skills.
• Experience with Tableau or Power BI.

Responsibilities

• Collect, clean, and process large sports data from multiple sources.
• Analyze performance data for trends and insights.
• Develop predictive models and statistical analyses.
• Create data visualizations, dashboards, and reports.
• Collaborate with sports performance teams and business units.
• Identify opportunities to improve athlete performance and fan engagement.
• Stay current with analytics, ML, and sports tech.
• Ensure data integrity and security throughout the analytical process.
• Present findings to technical and non-technical audiences.
• Contribute to data infrastructure and tool development.

Skills

Analytical thinking

Problem solving

Communication

Self-management

Education

Bachelor's or Master's in Statistics/Data Science/CS

Tools

Python

R

SQL

Tableau

Power BI

Excel

Job description

About the Role

Our client, a leading innovator in the **Leisure & Sports** technology space, is seeking a highly analytical and tech-savvy Remote Sports Data Analyst. This fully remote position involves diving deep into complex datasets to extract actionable insights that drive performance improvements, strategic decision-making, and fan engagement. The ideal candidate will possess a strong quantitative background, exceptional analytical skills, and a profound understanding of sports statistics and performance metrics. You will work with cutting-edge tools and technologies to transform raw data into compelling visualizations and reports. This is a unique opportunity for a data enthusiast to contribute to the advancement of sports performance and business intelligence in a flexible, remote-first setting.

Key Responsibilities

• Collect, clean, and process large volumes of sports-related data from various sources.
• Analyze performance data of athletes, teams, and leagues to identify trends, patterns, and key insights.
• Develop predictive models and statistical analyses to forecast outcomes and inform strategic planning.
• Create clear and concise data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Collaborate with sports performance teams, coaching staff, and business units to understand their data needs and provide analytical support.
• Identify opportunities to leverage data for improving athlete performance, fan engagement, and operational efficiency.
• Stay current with the latest advancements in data analytics, machine learning, and sports technology.
• Ensure data integrity, accuracy, and security throughout the analytical process.
• Present complex data findings in an easily understandable format to both technical and non-technical audiences.
• Contribute to the development and improvement of data infrastructure and analytics tools.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field.
• A minimum of 4 years of experience in data analysis, with a focus on sports analytics or a related domain.
• Proficiency in statistical programming languages such as Python or R.
• Strong experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and techniques.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• A solid understanding of sports statistics, performance metrics, and the nuances of various sports.
• Ability to work independently, manage priorities, and deliver high-quality results in a remote environment.
• Strong communication skills, with the ability to explain complex technical concepts clearly.
• Experience with machine learning concepts and applications is a plus.

Benefits

This remote role offers the flexibility to work from anywhere, coupled with the opportunity to work on challenging and impactful data projects within the **Leisure & Sports** industry. Our client offers a competitive salary, professional development opportunities, and a chance to be part of a team that is shaping the future of sports through data. You will gain exposure to advanced analytics techniques and contribute to key strategic decisions, working with a dynamic and innovative company.