1 Front End Performance Optimization jobs in Bangalore
Remote Lead Sports Data Analyst - Performance Optimization
560001 Bangalore, Karnataka
₹1200000 Annually
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Posted 6 days ago
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Job Description
Our client, a progressive sports analytics firm dedicated to enhancing athlete and team performance through data, is seeking a highly skilled and motivated Remote Lead Sports Data Analyst. This is a fully remote role, offering the chance to work with top-tier athletes and organizations globally without geographical constraints. You will be responsible for leading a team of analysts, developing advanced analytical models, and translating complex performance data into actionable insights that drive strategic decisions in training, game preparation, and player development.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead and mentor a team of sports data analysts, fostering a collaborative and high-performance environment.
- Develop and implement sophisticated statistical models and machine learning algorithms to analyze athlete and team performance data from various sources (wearables, video, match data).
- Identify key performance indicators (KPIs) and trends relevant to specific sports and competitive objectives.
- Create compelling data visualizations and reports to communicate findings effectively to coaches, athletes, and management.
- Collaborate with sports science professionals, coaches, and athletes to understand their needs and tailor analytical solutions.
- Design and oversee data collection methodologies to ensure data integrity and accuracy.
- Stay abreast of the latest advancements in sports analytics, data science techniques, and relevant technologies.
- Contribute to the development of proprietary analytical tools and platforms.
- Present analytical insights and strategic recommendations in a clear and concise manner.
Qualifications:
- Master's or PhD in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
- 5-8 years of experience in data analysis, with a significant focus on sports analytics or performance analysis.
- Proven experience in leading and managing analytical teams.
- Expertise in statistical modeling, machine learning techniques (e.g., regression, clustering, classification), and predictive analytics.
- Proficiency in programming languages such as Python or R, and data manipulation tools (e.g., SQL, Pandas).
- Experience with data visualization tools (e.g., Tableau, Power BI) and libraries.
- Strong understanding of various sports and their performance metrics.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and collaboratively in a remote team setting.
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