Data Analyst

Overview

The Kansas City Current is seeking a highly motivated and soccer‑intelligent Data Analyst to support the club’s technical, performance, and sporting operations departments. This role will transform data into actionable football insights that directly influence match preparation, player development, recruitment, performance optimization, and decision‑making across the organization.

• Deliver actionable insights to coaching and technical staff through pre‑match, post‑match, and opposition analysis.
• Support match preparation by analyzing tactical trends, player tendencies, team style profiles, and game model adherence.
• Assist in player recruitment and talent identification through data‑driven evaluation and benchmarking.
• Develop individualized player performance reports and long‑term development tracking systems.
• Translate complex football data into clear and practical recommendations for coaches and staff.
• Ensure all analytical outputs align with the club’s football philosophy and playing principles.

• Build and maintain scalable data systems and infrastructure to support sporting operations.
• Develop automated pipelines and workflows integrating tracking, event, video, wellness, medical, and performance data.
• Design and maintain internal tools, dashboards, and applications for technical staff using Python, SQL, R, APIs, and visualization platforms.
• Create customized reporting solutions that streamline analysis workflows and improve decision‑making efficiency.
• Support integration and management of third‑party football data providers and platforms.

• Collaborate with sports science and medical staff to analyze workload, readiness, and performance trends.
• Support player monitoring initiatives through GPS, biometric, wellness, and match‑load data analysis.
• Assist with predictive modeling and injury‑risk monitoring initiatives.
• Develop visualizations and dashboards to support player development plans and return‑to‑play processes.

• Stay current on emerging trends in football analytics, machine learning, artificial intelligence, and data engineering.
• Explore innovative analytical methods to improve tactical understanding, player evaluation, and performance forecasting.
• Contribute to the club’s long‑term analytics strategy and competitive advantage initiatives.

• Operate effectively within a collaborative, high‑performance team environment.
• Work closely with coaches, analysts, recruitment staff, sports science, and leadership across all departments.
• Maintain flexibility and responsiveness within the demands of an elite sports environment, including evenings, weekends, travel, and matchdays.
• Foster a growth mindset, strong communication, and a team‑first mentality.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Sports Analytics, Mathematics, Exercise Science, or related field.
• Strong soccer IQ and advanced understanding of tactical, technical, and positional concepts within elite football.
• Experience working within professional, collegiate, academy, or elite sporting environments.
• Advanced proficiency in Python and SQL.
• Experience building automated data workflows, pipelines, and reporting systems.
• Experience with data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
• Familiarity with football data providers and analysis platforms such as Stats Bomb, Hudl, Wyscout, Skill Corner, Sports code, or similar tools.
• Strong communication skills with the ability to explain complex information to technical and non‑technical audiences.
• Ability to manage multiple projects in a fast‑paced environment.

• Master’s degree in a related field.
• Experience with machine learning, predictive analytics, or artificial intelligence applications in sport.
• Experience integrating video, tracking, and event data.
• Knowledge of cloud infrastructure, APIs, and database architecture.
• Experience developing custom applications or internal tools for coaches and analysts.
• Background in performance analysis, recruitment…