Is Moody's a good company to work for as a Data Operations Associate?

Data Operations Associate professionals working at Moody's have rated their employer with 3.5 out of 5 stars in 39 Glassdoor reviews. This is a lower than average score with the overall rating of Moody's employees being 3.7 out of 5 stars. Search open Data Operations Associate Jobs at Moody's now and start preparing for your job interview by browsing frequently asked Data Operations Associate interview questions at Moody's .

Does Moody's pay Data Operations Associate employees well?

Data Operations Associate professionals rate their compensation and benefits at Moody's with 3.6 out of 5 stars based on 39 anonymously submitted employee reviews. This is equal to the company average rating for salary and benefits. Find out more about Data Operations Associate salaries at Moody's.

How happy are Data Operations Associate professionals working at Moody's?

64% of Data Operations Associate employees at Moody's would recommend their employer to a friend. This rating has decreased by 19% in the past 12 months. Data Operations Associate professionals have also rated Moody's with a 4.4 rating for work-life-balance, 4.2 rating for diversity and inclusion, 4.5 rating for culture and values and 4.0 rating for career opportunities.

What are the top reviewed jobs at Moody's?

Analyst (181) , Associate (127) , Associate Analyst (116) , Associate Director (100) , Assistant Director (84) , Director (84) , Software Engineer (79) , Senior Associate (69) , Intern (56) , Financial Analyst (51) , Vice President (51) , Assistant Vice President (50) , Financial Data Analyst (49) , Relationship Manager (40) , Senior Software Engineer (40)

What are the pros of working at Moody's according to real employee reviews?

"Good work life balance and in the city so commute is easy" ((in 549 reviews)); "People are nice and transparent in this company" ((in 291 reviews)); "Great culture and you get what you need to do your work" ((in 271 reviews)); "medical benefits are good" ((in 198 reviews)); "had some great colleagues." ((in 149 reviews))

What are the cons of working at Moody's according to real employee reviews?

"Move in slow and low salary" ((in 153 reviews)); "Some team has very old technology and senior managers are against changes" ((in 85 reviews)); "Slow career progression and technology is not so great" ((in 68 reviews)); "culture good , flex working hours" ((in 49 reviews)); "Senior management is based in London, rather than NYC." ((in 43 reviews))

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Moody's

Moody's Data Operations Associate reviews

3.5

64% would recommend to a friend

(39 total reviews)

Rob Fauber

84% approve of CEO

86% positive business outlook

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Data Operations Associate employees have rated Moody's with 3.5 out of 5 stars, based on 39 company reviews on Glassdoor. This indicates that most Data Operations Associate professionals have a good working experience there. Moody's is rated in line with the average (within 1 standard deviation) by Data Operations Associate professionals compared to other employers within the Finanzen industry (3.9 stars).

Reviews by job title

39 reviews

4.0

Jan 9, 2022

Chill Place in MACRE

Data engineer

Recommend

CEO approval

Business Outlook

Pros

Stability, People are amazing, tons of opportunity to learn

Cons

- Turn over, employees are leaving for Higher Paying Jobs - Career Pathing/Promotions are a bit fuzzy to understand - Salary is underpaid Compared to market value

4.0

Jan 5, 2022

Good and steady

Data scientist

Recommend

CEO approval

Business Outlook

Pros

A steady and defined job and organization.

Cons

Limited upside from incentive based compensation

4.0

Nov 2, 2020

data engineer

Data engineer

Recommend

CEO approval

Business Outlook

Pros

we are using the latest tech

Cons

The management is lacking. They are not hands on enough

Viewing 34 - 36 of 39 Reviews

Jobs at Moody's

Sr Associate Account Management

Associate Software Engineer

Vereinigte Staaten von Amerika

AVP-Sourcing (Market Data)

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Chill Place in MACRE

Good and steady

data engineer

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