Who are we hiring?
The Manager Performance Science will play a key role in our performance team, building out a sound data infrastructure including overseeing the consistent collecting and housing of appropriate sports science, injury and performance data as we evolve our practice to data informed decision-making. The role will involve the building and on-going maintenance of sports science, injury and performance dashboards that provide valuable insights on individual player health and development. The role will deliver valuable insights that are presented in an engaging manner at appropriate time. The role requires a diverse skill set ranging from functioning as a data engineer to data scientist to an analyst presenting findings to leaders.
What will you do?
Identify and implement streamlined processes for data reporting and communication, using analytical models to identify insights to drive key decisions across the entire performance team
Collaborate closely and openly with other staff working on basketball insights and analytics teams
Define, compute, track, and continuously validate metrics with descriptive and predictive analytics while explaining the output succinctly to others across the organization
Work closely and proactively build strong working relationships with the coaching and recruitment analytics teams to ensure that we maximize our understanding of the impact performance insights can have on different functions
Lead and support various ad hoc projects, as needed, by members across the organization while appropriately managing your time to prioritize pro-active projects improving the organization.
Design, build and launch efficient & reliable data pipelines to move and transform our performance data (both large and small amounts)
Securely source external data from numerous partners and deploy inclusive data quality checks to ensure high quality of data.
Leverage tools like R, Python, and SQL to drive efficient analytics.
What do you need to succeed?
Bachelor’s degree sports science with analytic components, performance analysis or Computer science, database design and development or software development
Self-directed, having taken projects from concept to delivery, motivated by a desire to develop the best possible solutions to problems
2+years of experience in a role with data analysis and metrics development
2+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders.
2+ years of experience with data visualization tools
Expertise with data visualization tools and well versed with applying Statistical and ML techniques
Demonstratable experience of data analysis and visualization of injury and or performance data in elite sport
Experience defining business requirements, developing timelines and working with cross functional teams towards driving leadership insights
Excellent presentation, communication and social skills, with strong attention to detail
Ability to manipulate and analyze large data sets using statistical and other analytical methods
#LI-Onsite
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