Job description
About the Company At SPSA (Sports Performance & Skills Assessment Center), we unlock athletes’ true potential. We combine advanced technology, data-driven performance analysis, and world-class standards to assess and enhance skills across all levels — from aspiring youth athletes to professionals. Using our proprietary H-Score system, benchmarked against the world’s top academies, we provide athletes with detailed assessments, personalized training plans, and actionable insights to fast-track their development. Our mission is simple: To help every athlete discover where they stand today and guide them on their path to greatness. Job Description We are seeking a highly analytical and detail-oriented Data & Sports Science Intern to support the development of a performance benchmarking database. This role sits at the intersection of data science and sports performance, offering hands-on experience in building, validating, and analyzing athlete performance data across multiple sports.Key Responsibilities:Build and structure a comprehensive athlete benchmarking database across key performance pillars: Speed, Endurance, Strength, Mobility, and ReactionClean, audit, and validate datasets by removing outliers, standardizing units, and ensuring data accuracyCross-reference data with peer-reviewed research and established performance normsApply statistical techniques to smooth data and create continuous benchmark curves across age groupsDevelop percentile distributions and interpolate missing data points(Optional) Visualize datasets using tools such as Excel or Power BIMaintain clear documentation and ensure high standards of data qualityRequirements:Undergraduate or postgraduate student in Data Science, Sports Science, Applied Statistics, Kinesiology, or a related fieldStrong proficiency in Excel (Power Query preferred)Knowledge of statistical analysis and data cleaning techniquesUnderstanding of sports performance metrics or exercise physiology (preferred)Familiarity with tools like Power BI, Python, or R (nice to have)Strong research and academic referencing skillsDetail-oriented, self-driven, and able to work independentlyRequirementsOnly applicants that apply via this link (not the APPLY NOW button) will be considered for further review and selection.If you experience any technical issues with Superset or have any related queries, please feel free to reach out to us at [email protected]