Comcast/NBCUniversal Review Data
9 total review submissions
|2020||Intern||Atalanta||Financial Services||It was a decent internship with good pay
|Exit ops are not good
Pay for analysts is not good…
|2020||1st Year Analyst||Atlanta||FLDP||Work is pretty straightforward, low hours, great brand name…||Massive company equals massive pain in the ass for things…|
|2020||Intern||Atlanta||N/A||The interview process was great, haven't started yet.…||The interview process was great, haven't started yet.…|
|2019||Intern||Los Angeles||Corporate Finance||Good work environment and great team setting with decent…||Not very fast paced and the career progression is typically…|
|2018||1st Year Analyst||Miami||Financial Planning and Analysis||Good culture, fun place to work in. People are really nice…||Miserable salary. No leadership. They treat pleople as…|
|2018||Student / Prospective Monkey||Philadelphia||Generalist||Good company culture that is supported by upper management…||Could be a higher focus on work-life balance. Lots of…|
|2017||Intern||San Francisco||Corporate Finance||Good hours and great culture. Juicero does a great job of…||Lack of direction from senior leadership was the main con.…|
|2017||Manager||New York||Technology, Media and Telecom (TMT)||Work environment is challenging but fun. With a vast and…||Operations are sometimes siloed. In other words, if you sit…|
|2013||Intern||Philadelphia||Back Office||-Great feedback
-Good salary for a summer intern…
|-As is true with most internships there was down time (less…|
Overall Ranking is a score from 1 star (very bad) to 5 stars (excellent) generated based on the Company Reviews of current and former employees at this company, taking everything into account.
The number you see in the middle of the donut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.
The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.
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