544 Performance Analyst jobs in Indonesia

JOB DESCRIPTION

We are looking for a dynamic and results-driven Sales Performance Analyst to oversee and drive sales performance across designated areas. This role is responsible for ensuring target achievements in sales, market share, and profitability, while maintaining compliance with both company and principal standards.

Key responsibilities include:

• Monitor and control area performance in terms of sales, market share, and profit growth.
• Coordinate and manage consolidated sales reports and performance analysis.
• Lead the implementation of strategic sales initiatives to achieve targets.
• Supervise and support sales teams in assigned areas to ensure consistent execution.
• Ensure compliance with company policies, SOPs, and principal guidelines.
• Provide regular performance reports and actionable insights to management.

QUALIFICATIONS

• Minimum Bachelor's Degree in Management, Information Systems, or Industrial Engineering.
• At least 3 years of proven experience in a similar role within the automotive, retail, or wholesale industry.
• Proficient in Microsoft Office, especially Excel (data analysis, reporting, dashboards) and PowerPoint (presentations).
• Strong leadership, coordination, and communication skills.
• High level of discipline, integrity, and initiative.
• Strong analytical and problem-solving abilities.
• Target-oriented, with the ability to thrive in a fast-paced and performance-driven environment.
• Willing to travel and supervise teams across different areas as needed.

• Collect and analyze performance data from various sports metrics, including physical output, technical skills, and tactical execution during training and competitions in **Bekasi, West Java, ID**.
• Utilize specialized software and tools to track player statistics, injury prevention data, and biomechanical movements.
• Collaborate closely with coaching staff to develop personalized training plans and tactical strategies based on performance analysis.
• Provide objective, data-driven feedback to athletes and coaches to aid in skill development and performance optimization.
• Prepare comprehensive reports and presentations summarizing key performance indicators and trends for coaching staff and management.
• Monitor athlete load management and injury risk factors, working with medical and fitness staff to ensure player well-being.
• Stay current with the latest advancements in sports science, performance analysis technology, and relevant research.
• Assist in scouting and player evaluation by analyzing potential recruits' performance data.
• Maintain a database of player and team performance metrics for historical analysis and trend identification.
• Facilitate workshops or presentations for athletes and staff on performance analysis principles.
• Ensure the integrity and accuracy of all collected and analyzed data.

• Bachelor's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field. A Master's degree is preferred.
• Minimum of 3 years of experience in sports performance analysis, preferably within a professional or collegiate sports environment.
• Proficiency with performance analysis software (e.g., Hudl, Catapult, Sportscode) and data visualization tools.
• Strong understanding of sports physiology, biomechanics, and training methodologies.
• Excellent analytical and statistical skills, with the ability to interpret complex data sets.
• Effective communication and presentation skills, with the ability to convey insights clearly to diverse audiences.
• Ability to work flexible hours, including evenings, weekends, and during travel, as required by the team's schedule.
• Strong attention to detail and a commitment to accuracy.
• Passion for sports and a desire to contribute to athletic success.
• Experience in data management and database creation is a plus.

• Collect and analyze performance data from various sources, including video, GPS, heart rate monitors, and other biometric devices.
• Utilize statistical and data visualization tools to identify trends, patterns, and key performance indicators.
• Provide objective feedback and insights to coaches and athletes on technical, tactical, and physical aspects of performance.
• Develop individualized performance plans based on data-driven analysis.
• Assist in scouting and talent identification by analyzing potential recruits.
• Monitor athlete workload, fatigue, and recovery to optimize training and prevent overtraining.
• Prepare detailed reports and presentations on team and individual performance for coaching staff and management.
• Collaborate with sports scientists, physiotherapists, and strength and conditioning coaches.
• Stay current with the latest advancements in sports performance analysis technology and methodologies.
• Contribute to the development of effective game strategies and training programs.

• Bachelor's or Master's degree in Sports Science, Exercise Physiology, Biomechanics, Data Science, or a related field.
• Minimum of 3 years of experience in sports performance analysis.
• Proficiency in sports analysis software (e.g., Hudl, Sportscode, Dartfish) and data analysis tools (e.g., Excel, R, Python).
• Strong understanding of biomechanics, physiology, and training principles.
• Excellent analytical, critical thinking, and problem-solving skills.
• Ability to communicate complex data effectively to non-technical audiences.
• Experience with video analysis and statistical modeling.
• Strong attention to detail and organizational skills.
• Ability to work flexibly, including some evenings and weekends, and travel as required for on-site components.
• Passion for sports and a commitment to athlete development.

• Collecting and analyzing performance data from various sports disciplines using specialized software and sensors.
• Identifying trends, patterns, and insights to inform coaching decisions and training strategies.
• Developing detailed reports and presentations on athlete and team performance for coaches and management.
• Utilizing video analysis tools to break down game footage and provide tactical feedback.
• Collaborating closely with coaches, trainers, and athletes to set performance goals and monitor progress.
• Researching and implementing new methodologies and technologies in sports performance analysis.
• Providing objective, data-driven recommendations for player development and recruitment.
• Assisting in the creation of personalized training programs based on individual athlete needs.
• Ensuring the integrity and accuracy of all collected performance data.
• Staying current with the latest research and best practices in sports science and analytics.

• Collect, clean, and analyze performance data from various sources (e.g., video analysis, GPS tracking, biometric data).
• Develop and implement key performance indicators (KPIs) relevant to individual athletes and team performance.
• Create comprehensive reports and visualizations to communicate performance insights to coaches and athletes.
• Identify trends, patterns, and actionable insights to inform training strategies and tactical decisions.
• Collaborate with coaching staff to integrate performance analysis into training programs and game plans.
• Conduct research on new technologies and methodologies in sports performance analysis.
• Assist in the development and implementation of athlete profiling and talent identification processes.
• Monitor athlete workload and fatigue levels to optimize training and prevent injuries.
• Provide data-driven recommendations for skill development and tactical adjustments.
• Maintain a secure database of performance data and ensure its integrity.

• Bachelor's or Master's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field.
• Minimum of 3 years of experience in sports performance analysis, preferably in a professional or high-level collegiate setting.
• Proficiency in data analysis software (e.g., R, Python, SPSS) and sports-specific analysis platforms (e.g., Hudl, Catapult).
• Strong understanding of statistical principles and data visualization techniques.
• Excellent analytical and problem-solving skills.
• Ability to communicate complex technical information clearly and concisely to non-technical audiences.
• Experience with video analysis software is highly desirable.
• Knowledge of physiological principles related to athlete training and recovery.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
• Passion for sports and a commitment to continuous learning in the field of performance analysis.

• Collect, analyze, and interpret performance data from athletes and teams using various tools and software.
• Utilize video analysis to break down game footage and identify tactical and technical insights.
• Develop comprehensive performance reports for coaches, athletes, and management.
• Identify key performance indicators (KPIs) and track progress towards achieving performance goals.
• Collaborate with coaches and trainers to develop and implement training programs based on data-driven insights.
• Assist in scouting and recruitment by providing objective performance evaluations of potential athletes.
• Research and implement new technologies and methodologies in sports performance analysis.
• Maintain accurate and organized databases of performance data.
• Communicate complex analytical findings effectively to diverse audiences.
• Contribute to strategies for injury prevention and athlete rehabilitation.

• Bachelor's degree in Sports Science, Kinesiology, Statistics, Data Science, or a related field. Master's degree preferred.
• Minimum of 4 years of experience in sports performance analysis, ideally within professional or elite sports.
• Proficiency in sports analytics software (e.g., Catapult, Hudl, Sportscode) and statistical packages (e.g., R, Python).
• Strong understanding of biomechanics, physiology, and training principles.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present data clearly.
• Ability to work independently and manage time effectively in a remote setting.
• Knowledge of various sports and their specific performance metrics.
• Experience in data visualization techniques.
• Passion for sports and a commitment to optimizing athletic performance.