Data Insights Analyst
San Diego Wave FC4 months ago
San Diego, CA, United States
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
San Diego Wave Fútbol Club is on a mission to build a world-class home for players and fans. We are seeking a skilled and motivated Data Insights Analyst who will leverage data to provide actionable insights that enhance team performance, inform strategic decision-making, and optimize player development. This role collaborates with coaching staff, performance analysts, and other stakeholders to support the team's competitive objectives.
Key Responsibilities
- Collect, clean, and maintain various data sources related to player performance.
- Develop and manage databases to ensure data integrity and accessibility.
- Conduct in-depth analysis of performance data using statistical methods and data visualization tools.
- Create detailed reports and presentations to communicate insights and trends to coaching staff and management.
- Evaluate player performance and injury data to identify strengths, weaknesses, and areas for improvement.
- Collaborate with coaches to design and analyze strategic game plans based on data-driven insights.
- Work closely with department heads to align analytical insights with team objectives.
- Present findings clearly to foster a culture of data-informed decision-making.
- Stay updated on industry trends, analytical methods, and emerging technologies in sports analytics while proposing process improvements.
Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Sports Management, or a related field; Master’s degree preferred.
- Proven experience in data analysis, preferably in a sports or athletic environment.
- Proficiency in statistical software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of soccer and performance analytics.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work collaboratively in a fast-paced environment.
Required Skills
Data Visualization
Sports Analytics
SQL
Power BI
Data Analysis
Python
Tableau
R
Statistical Analysis