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A Day In The Life Of A Performance Data Analyst At Boston Bruins

A Performance Data Analyst at the Boston Bruins starts "pretty early in the morning," combining hands-on coaching with athletes during training and data collection using advanced technologies. The role then transitions to statistical analysis of the collected data, generating reports and visuals for various stakeholders and participating in meetings to inform strategic decisions based on the insights revealed.

Data Analysis, Sports Analytics, Technology, Communication, Coaching

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. A typical workday starts early (around 6 AM) with preparation for the day and assisting athletes.

2. The role involves hands-on coaching and overseeing data collection technology during athlete training.

3. A significant portion of the day is dedicated to data analysis, report generation, and collaborative meetings to discuss insights and make data-driven decisions

Transcript

What does a day in the life of a performance data analyst look like?

I start preparing for the day around six in the morning. Our athletes begin arriving between eight and nine o'clock, depending on the schedule.

While the athletes are in the facility, I act as a coach. This involves guiding them through their workouts, warmups, or whatever they're doing on the ice during practice.

We use technologies to track the athletes on the ice, and I oversee that data collection process. Once the players finish their training for the day, the statistical analysis phase of my job begins.

I review the day's collected data and perform the relevant analysis. Then, I send out reports or visuals to the coaching staff, medical staff, management, or anyone else who needs to see the numbers. Finally, we meet to discuss these insights and make decisions based on the data.

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