Remote Sports Analytics Specialist

Placements24; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Flexible working hours

Professional development budget

Collaboration with top teams

Job summary

Placements24 seeks a Remote Sports Data Analyst to join a global leader in sports analytics. The role emphasizes developing predictive models, evaluating player and team performance, and translating data into actionable insights for coaches and management.

Ideal candidates have a strong quantitative background and experience with Python or R, Pandas, NumPy, and Scikit-learn. This fully remote position supports collaboration across disciplines and regions, contributing to strategic

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• Proven experience as a Data Analyst, preferably in sports analytics.
• Proficiency with Python or R and libraries (Pandas, NumPy, Scikit-learn).
• Experience with SQL and data manipulation techniques.
• Familiarity with sports performance metrics and data sources.

Responsibilities

• Collect, clean, and process large sports datasets from various tracking systems and databases.
• Develop statistical models and ML algorithms to analyze performance.
• Identify trends and actionable insights for coaching, scouting, and planning.
• Create visualizations and reports for non-technical stakeholders including coaches and management.
• Collaborate with data engineers and sports scientists to refine data collection and analytics.

Skills

Statistical analysis

Data visualization

Independent work

Remote collaboration

Critical thinking

Education

Bachelor's or Master's in Statistics/Data Science/Computer Science/Mathematics

Tools

Python

R

Pandas

NumPy

Scikit-learn

SQL

Job description

Placements24 seeks a Remote Sports Data Analyst to join a global leader in sports analytics. The role emphasizes developing predictive models, evaluating player and team performance, and translating data into actionable insights for coaches and management.

Ideal candidates have a strong quantitative background and experience with Python or R, Pandas, NumPy, and Scikit-learn. This fully remote position supports collaboration across disciplines and regions, contributing to strategic