Remote Sports Data Analyst

Placements24; Queenstown; Hybrid; NZD 85,000 - 120,000; Full time

Benefits offered by this job

Fully remote work

Home office stipend

Generous annual leave

Provident fund

Job summary

Placements24 is seeking a remote Sports Data Analyst to join a cutting-edge analytics team. You will collect, clean, analyze, and interpret complex sports data to deliver actionable insights for teams, leagues, and media partners.

The role emphasizes autonomous remote work and collaboration with clients worldwide. The ideal candidate has 3–5 years of data analysis experience, strong Python, R, SQL skills, and solid knowledge of statistical modeling and ML techniques.

Qualifications

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or related field.
• 3–5 years of data analysis experience, preferably in sports.
• Proficiency with Python, R, SQL and data analysis tools.
• Strong statistical modeling, ML and data visualization knowledge.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Collect, process, and analyze large datasets related to sports performances and game outcomes.
• Develop dashboards and reports to visualize metrics and trends.
• Identify patterns and insights to inform strategic decisions for sports orgs.
• Collaborate with clients to understand data needs and deliver tailored analyses.
• Develop predictive models and performance indicators using statistics and ML.
• Stay up-to-date with sports analytics and related technologies.
• Ensure data accuracy, integrity, and security throughout analysis.
• Communicate complex findings clearly to technical and non-technical stakeholders.
• Work independently and manage multiple remote projects.

Skills

Python (Pandas, NumPy, Scikit-learn)

R

SQL

Statistical modeling

Machine learning

Data visualization

Remote work

Education

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

Tools

Python (Pandas/NumPy/Skikit-learn)

R

SQL

Job description

About the Role

Our client, a cutting‑edge sports analytics firm, is seeking a talented and driven Remote Sports Data Analyst to join their expanding virtual team. This role is entirely remote, allowing you to contribute your analytical expertise from anywhere. You will be responsible for collecting, cleaning, analyzing, and interpreting complex sports data to provide actionable insights for teams, leagues, and media partners. The ideal candidate possesses strong quantitative skills, a deep understanding of sports, and proficiency in data analysis tools. This is an exceptional opportunity to work at the forefront of **sports technology and analytics** without geographical limitations. If you are passionate about uncovering trends and improving performance through data, this **fully remote** position is perfect for you.

Key Responsibilities

• Collect, process, and analyze large datasets related to various sports performances, player statistics, and game outcomes.
• Develop and maintain data models, dashboards, and reports to visualize key metrics and trends.
• Identify patterns, correlations, and insights from data to inform strategic decision-making for sports organizations.
• Collaborate with clients (e.g., coaches, scouts, media) to understand their data needs and deliver tailored analyses.
• Develop predictive models and performance indicators using statistical techniques and machine learning algorithms.
• Stay current with the latest advancements in sports analytics, data science, and relevant technologies.
• Ensure data accuracy, integrity, and security throughout the analysis process.
• Communicate complex findings clearly and concisely to both technical and non-technical stakeholders.
• Contribute to the continuous improvement of analytical methodologies and tools.
• Work independently and manage multiple projects simultaneously in a remote setting.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 3-5 years of experience in data analysis, preferably within the sports industry.
• Proven experience with data analysis tools and programming languages such as Python (Pandas, NumPy, Scikit-learn), R, SQL.
• Strong understanding of statistical modeling, machine learning, and data visualization techniques.
• Excellent analytical and problem-solving skills.
• Ability to work autonomously and manage time effectively in a **remote work environment**.
• Strong communication and presentation skills, capable of explaining complex data concepts.
• A passion for sports and a solid understanding of game dynamics across multiple disciplines.
• Experience with sports-specific data sources (e.g., performance metrics, player tracking data) is highly advantageous.
• Must have a reliable internet connection and a dedicated workspace for **remote employment**.

Benefits

• Annual salary of R .
• Fully remote work arrangement, offering maximum flexibility.
• Opportunity to work with leading sports organizations and cutting-edge technology.
• Continuous learning and professional development in the field of data science.
• Collaborative virtual team environment.
• Generous annual leave.
• Contribution to provident fund.
• Home office setup stipend.