Summary
Analyzes soccer match and player data to build dashboards, run predictive models, and support live match operations using SQL, Python, and visualization tools.
Position: Sport Operation Data Analyst
Company Industry: IT Company
Work Location: Ortigas Rockwell
Work Schedule: Shifting Schedule
Expected Salary: Php 70,000 above
Work Set Up: WFH
JOB REQUIREMENTS
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Sports Science, or related field
• Strong analytical and problem solving skills with attention to detail
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel functions.
• Experience with SQL, Python, or R for data processing and analysis
• Knowledge of soccer rules, player performance metrics, and match operations
• Ability to work under shifting schedules and meet tight deadlines
• Team player with adaptability to remote work environments
JOB RESPONSIBILITIES:
• Collect, clean, and validate soccer match and player data from multiple sources
• Analyze operational data to identify performance trends, inefficiencies, and improvement opportunities
• Generate dashboards, reports, and visualizations to support decision making for coaches, managers, and executives
• Provide real time data support during live matches and events
• Collaborate with sports analysts, operations teams, and IT departments to ensure accurate data flow
• Conduct predictive modeling and statistical analysis to forecast player performance and match outcomes
• Document methodologies, maintain databases, and ensure data integrity across systems
• Support recruitment and scouting efforts by analyzing player statistics and match footage
• Participate in continuous improvement initiatives for data collection and reporting processes
• Assist in training new analysts and sharing best practices within the team
Recruitment Process:
• Aptitude Exam (Logical & Analytical)
• Online interview (Initial/technical)
• Final/Job offer (online)