Most Important Skills For A Performance Data Analyst At Boston Bruins
Peter's role as a Performance Data Analyst for the Boston Bruins requires a "strong foundation in statistical theory" and advanced coding skills in R or Python, complementing this with knowledge of "anatomy, physiology, and the theory around training" and crucial "social skills" for coaching athletes. The job thus blends hard data analysis skills with the softer, interpersonal aspects of coaching.
Data Analysis, Statistical Theory, Coding Skills, Coaching, Communication
Advizer Information
Name
Job Title
Company
Undergrad
Grad Programs
Majors
Industries
Job Functions
Traits
Peter Nelson
Performance Data Analyst
Boston Bruins
Pennsylvania State University
N/A
Biology & Related Sciences
Sports & Fitness
Data and Analytics
None Applicable
Video Highlights
1. Strong foundation in statistical theory and methods
2. Solid foundation in coding skills (R or Python)
3. Understanding of coaching theory, anatomy, physiology, and social skills
Transcript
Here's the cleaned transcript:
Q4: Most important skills - role
What skills are most important for a job? I'll split that into two halves. Since my job is kind of stratified, on the statistical analysis part, having a strong foundation in statistical theory is important. This means understanding methods, how they work, and the nuts and bolts of statistics.
Then, having a solid foundation of coding skills is also necessary, whether that's in R or Python. If you want to work at a more advanced level, Excel usually doesn't quite cut it, so having more advanced coding skills is usually a requisite.
On the other side, on the coaching side, you have the theory: anatomy, physiology, and the theory around training and physical adaptation. Some people might call it the art of coaching or the soft science. This includes social skills, how to manage people, and how to coach athletes, helping them on the psychosocial side of things as well.