Remote Sports Data Analyst

Placements24; East London; Hybrid; ZAR 600,000 - 800,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Fully remote

Tech stack exposure

Professional development budget

Job summary

Placements24 seeks a highly analytical Remote Sports Data Analyst to join a forward-thinking team. You will analyze large datasets on sports performance, fan engagement, and operations, translating complex findings into actionable recommendations for stakeholders across the organization.

The role emphasizes proficiency in Python or R, SQL, and data visualization tools, with a fully remote work setup. A strong track record in data-driven storytelling and collaboration with performance staff is

Qualifications

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Sports Science, or a related quantitative field.
• Minimum 5 years of experience in data analysis, preferably in sports analytics.
• Proficiency in Python or R, and SQL; strong data visualization skills.

Responsibilities

• Collect, clean, and process large sports datasets.
• Develop and implement statistical models to uncover insights.
• Create data visualizations and reports for diverse teams.
• Collaborate with coaches, performance staff, and management to define KPIs.
• Utilize Python, R, SQL, Tableau to perform in-depth analysis.
• Stay updated on trends in sports analytics and data science.

Skills

Python

R

SQL

Data visualization

Education

Bachelor's or Master's in a quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Sports Data Analyst to join their innovative team. In this role, you will leverage vast datasets to extract meaningful insights that drive strategic decisions in sports performance, fan engagement, and business operations. You will work with cutting-edge tools and methodologies to analyze player statistics, game data, and market trends, translating complex findings into actionable recommendations. The ideal candidate is passionate about sports, possesses exceptional analytical skills, and excels at communicating data-driven stories to both technical and non-technical stakeholders in a fully remote capacity.

Key Responsibilities

• Collect, clean, and process large datasets related to sports performance, analytics, and operations.
• Develop and implement statistical models and analytical frameworks to uncover key insights.
• Create compelling data visualizations and reports to communicate findings effectively to various teams.
• Collaborate with coaches, performance staff, and management to identify key performance indicators (KPIs) and areas for improvement.
• Utilize advanced analytical tools and software (e.g., Python, R, SQL, Tableau) to perform in-depth analysis.
• Stay abreast of emerging trends and technologies in sports analytics and data science.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Sports Science, or a related quantitative field.
• Minimum 5 years of experience in data analysis, with a focus on sports analytics preferred.
• Proficiency in programming languages such as Python or R, and database query languages like SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical concepts and modeling techniques.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Highly competitive annual salary and performance bonuses.
• Fully remote work arrangement offering excellent work-life balance.
• Opportunity to work with state-of-the-art sports data technologies.
• Generous professional development budget for courses and conferences.
• Be part of a forward-thinking team at the intersection of sports and technology.