7 Senior Esports Performance Analyst jobs in whatjobs
Senior Esports Performance Analyst
Posted 21 days ago
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Job Description
Key Responsibilities:
- Collect, process, and analyze performance data from various esports titles.
- Develop and implement advanced statistical models and metrics to evaluate player and team performance.
- Identify key trends, strengths, and weaknesses in gameplay and strategy.
- Provide data-driven insights and recommendations to coaches and players to optimize performance.
- Create comprehensive performance reports and visualizations for stakeholders.
- Assist in player scouting and talent identification using performance metrics.
- Collaborate with development teams to improve in-game analytics tools.
- Stay updated on the latest trends, strategies, and meta shifts in the esports landscape.
- Develop and maintain a database of player and team statistics.
- Contribute to strategic decision-making processes for esports team management.
- Bachelor's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, preferably within the sports or esports industry.
- Deep understanding of competitive gaming and esports.
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and presentation skills, with the ability to explain complex data clearly.
- Ability to work independently and manage workload effectively in a remote environment.
- Passion for esports and a desire to contribute to competitive success.
- Experience with game-specific analytics tools is a plus.
Senior Esports Performance Analyst
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, clean, and analyze gameplay data from professional esports matches.
- Develop and implement advanced analytical models to assess player and team performance.
- Identify key performance indicators (KPIs) and track progress against them.
- Create comprehensive performance reports and visualizations for coaches and players.
- Provide data-driven insights and strategic recommendations to improve team tactics and individual player skills.
- Collaborate closely with coaching staff to integrate data analysis into training and strategy development.
- Stay updated on the latest trends, meta shifts, and analytical techniques in esports.
- Research and evaluate new tools and technologies for performance analysis.
- Contribute to the development of player scouting and talent identification processes using data.
- Maintain data integrity and security.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Computer Science, Sports Science, or a related analytical field.
- Minimum of 5 years of experience in data analysis, with a strong preference for experience in esports or professional sports analytics.
- Proven expertise in statistical analysis, data mining, and predictive modeling.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g., Python, R).
- Deep understanding of esports, including game mechanics, strategy, and professional play.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, with the ability to present complex data clearly.
- Ability to work independently and collaboratively in a remote team environment.
- Strong understanding of different game genres and their associated analytical approaches.
- Passion for competitive gaming and performance optimization.
Senior Esports Performance Analyst
Posted 21 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, analyze, and interpret performance data from various esports titles (e.g., strategy, execution, player statistics, game meta).
- Develop advanced statistical models and metrics to assess player and team performance comprehensively.
- Provide actionable insights and recommendations to coaches and players to improve gameplay, strategy, and individual skills.
- Monitor trends in professional esports, identify emerging strategies, and assess their potential impact.
- Develop and maintain performance dashboards and reports for easy visualization of key metrics.
- Collaborate with coaching staff to design and implement data-informed training programs and strategies.
- Conduct pre-match analysis and post-match reviews, highlighting key performance indicators and areas for improvement.
- Research and recommend optimal team compositions, role assignments, and strategic approaches based on data.
- Stay up-to-date with the latest developments in esports analytics tools and methodologies.
- Foster a culture of data-driven decision-making within the esports division.
Qualifications:
- Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field. Master's degree preferred.
- Minimum of 5 years of experience in data analysis, preferably within sports analytics or performance analysis.
- Proven experience analyzing complex datasets and extracting meaningful insights.
- Strong understanding of the esports landscape, key titles, and competitive meta.
- Proficiency in data analysis tools and programming languages such as Python (with libraries like Pandas, NumPy), R, or SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex findings to non-technical audiences.
- Ability to work independently and collaboratively in a fully remote team environment.
- Passion for esports and a deep understanding of competitive gaming dynamics.
Senior Esports Performance Analyst
Posted 6 days ago
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Job Description
Responsibilities will include:
- Developing and implementing advanced data analytics frameworks for various esports titles.
- Utilizing statistical modeling and machine learning techniques to predict outcomes and identify performance indicators.
- Collaborating closely with coaching staff and players to translate data insights into actionable strategies.
- Creating detailed reports and visualizations to communicate findings effectively to stakeholders.
- Monitoring player performance metrics, including in-game statistics, reaction times, and decision-making patterns.
- Identifying potential risks and opportunities for improvement in team composition, strategy, and individual player skills.
- Staying abreast of the latest trends and technological advancements in esports analytics and performance optimization.
- Contributing to the development of proprietary analytical tools and methodologies.
- Mentoring junior analysts and sharing best practices.
- Conducting post-match and post-tournament reviews based on comprehensive data analysis.
The ideal candidate will possess a strong background in data science, statistics, or a related field, coupled with a deep understanding of competitive esports. Excellent communication and interpersonal skills are essential for effectively conveying complex data to diverse audiences. A proactive approach to problem-solving and a passion for gaming are highly valued. This is a unique opportunity to make a significant impact on the professional esports landscape from the comfort of your home office, serving clients within the vibrant community of Ongata Rongai, Kajiado, KE .
Senior Esports Performance Analyst
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Collect, analyze, and interpret performance data from various esports titles.
- Develop and implement advanced analytical frameworks to assess player and team performance.
- Identify key performance indicators (KPIs) and track progress towards strategic goals.
- Provide data-driven insights and actionable recommendations to players, coaches, and management.
- Collaborate with coaching staff to design and refine training programs based on performance data.
- Conduct in-depth game analysis, including strategy, meta-trends, and opponent profiling.
- Develop visualization tools and dashboards to present performance data effectively.
- Stay abreast of emerging trends and technologies in esports analytics and performance optimization.
- Contribute to player scouting and recruitment by providing analytical evaluations.
- Foster a data-centric culture within the organization.
- Mentor junior analysts and contribute to the growth of the analytics department.
- Research and evaluate new tools and software for performance tracking and analysis.
- Bachelor's or Master's degree in Data Science, Statistics, Sports Science, or a related analytical field.
- Minimum of 5 years of experience in performance analysis, preferably within esports, sports, or a highly competitive analytical domain.
- Proven ability to work with large datasets and apply advanced statistical modeling techniques.
- Strong understanding of competitive gaming and specific esports titles.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and scripting languages (e.g., Python, R).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex findings clearly.
- Experience in developing and implementing performance metrics and KPIs.
- Ability to work independently and manage multiple projects in a fast-paced, remote environment.
- Passion for esports and a deep understanding of its competitive landscape.
Senior Esports Performance Analyst
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, analyze, and interpret performance data from player gameplay, team scrimmages, and official matches across various esports titles.
- Develop and implement advanced statistical models to assess player skill, team synergy, and strategic effectiveness.
- Provide actionable insights and recommendations to coaches and players to enhance individual and team performance.
- Conduct in-depth opponent analysis, identifying strengths, weaknesses, and potential strategic exploits.
- Create detailed performance reports, visualizations, and presentations for internal stakeholders.
- Collaborate with coaching staff to design data-informed training programs and drills.
- Monitor emerging trends and meta shifts within popular esports titles and adapt analysis accordingly.
- Utilize specialized esports analytics software and tools for data collection and processing.
- Contribute to the development of proprietary analytical tools and methodologies.
- Maintain confidentiality of sensitive team and player performance data.
- Bachelor's degree in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
- Minimum of 5 years of experience in performance analysis, preferably within esports, traditional sports, or a highly competitive analytical field.
- Proven expertise in data analysis, statistical modeling, and data visualization techniques.
- Deep understanding of the competitive landscape, meta-game, and strategic nuances of major esports titles (e.g., League of Legends, CS:GO, Valorant, Dota 2).
- Proficiency with data analysis tools such as Python (with libraries like Pandas, NumPy, SciPy), R, SQL, and advanced Excel.
- Experience with esports analytics platforms (e.g., Mobalytics, OP.GG, VLR.gg) is a plus.
- Exceptional analytical and problem-solving skills with a keen eye for detail.
- Strong communication and presentation skills, with the ability to convey complex findings clearly and concisely.
- Self-motivated and able to work independently in a remote setting, managing priorities effectively.
- Passion for esports and a commitment to continuous learning.
Senior Esports Performance Analyst
Posted 1 day ago
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Job Description
As a Senior Esports Performance Analyst, you will be responsible for collecting, processing, and analyzing vast amounts of in-game data to identify trends, strengths, weaknesses, and opportunities for improvement for professional esports players and teams. You will develop and implement advanced analytical models and visualizations to provide actionable insights to coaches, players, and management. This includes studying gameplay mechanics, player decision-making, team compositions, and strategic execution across various popular esports titles. The ideal candidate will possess a strong quantitative background, a deep understanding of esports ecosystems, and exceptional data visualization and communication skills. You should be passionate about competitive gaming, highly curious, and able to translate complex data findings into clear, strategic recommendations that drive performance gains. This role demands excellent problem-solving abilities and the capacity to thrive in a dynamic, remote work environment.
Key Responsibilities include:
- Design and implement data collection strategies for in-game performance metrics.
- Analyze player and team performance data to identify key trends, patterns, and insights.
- Develop predictive models to forecast outcomes and inform strategic decisions.
- Create compelling data visualizations and reports to communicate findings to coaches, players, and stakeholders.
- Provide data-driven recommendations for player development, team strategies, and meta analysis.
- Collaborate closely with coaching staff to integrate data insights into training regimens.
- Monitor opponent performance and strategies to inform competitive counter-play.
- Stay current with the latest developments in esports analytics, tools, and methodologies.
- Identify and track key performance indicators (KPIs) relevant to esports success.
- Contribute to the development of proprietary analytical tools and platforms.
- Bachelor's degree in Statistics, Data Science, Computer Science, Sports Science, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a significant focus on performance analysis in sports or gaming.
- Deep understanding of the esports landscape and major competitive titles.
- Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Strong statistical modeling and quantitative analysis skills.
- Excellent problem-solving and critical thinking abilities.
- Exceptional communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Passion for competitive gaming and a keen eye for strategic gameplay.
- Ability to work independently and manage time effectively in a remote setting.
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