Alvarez & Marsal Review Data
33 total review submissions
Pages
Year | Position | Location | Group/Division | Overall |
|---|---|---|---|---|
| 2019 | 1st Year Analyst | Los Angeles, CA, USA | Management Consulting | |
| 2019 | 1st Year Analyst | NYC | Mergers and Acquisitions | |
| 2018 | 1st Year Associate | Dallas | Consulting | |
| 2018 | 2nd Year Associate | Chicago | Valuation | |
| 2018 | 1st Year Analyst | New York | Mergers and Acquisitions | |
| 2018 | 2nd Year Associate | Houston | Consulting | |
| 2018 | 1st Year Analyst | Dallas | Mergers and Acquisitions | |
| 2018 | 1st Year Analyst | New York City | Mergers and Acquisitions | |
| 2018 | Intern | Dallas | Management Consulting | |
| 2018 | 1st Year Analyst | Riyadh Saudi Arabia | Restructuring | |
| 2017 | Senior Consultant | Philadelphia | Mergers and Acquisitions | |
| 2017 | Consultant | Dallas | Management Consulting | |
| 2017 | 2nd Year Analyst | Rio de Janeiro | Restructuring | |
| 2017 | 3rd+ Year Associate | So Paulo | Restructuring | |
| 2017 | 3rd+ Year Associate | So Paulo | Restructuring | |
| 2017 | Intern | New York | Performance Improvement | |
| 2017 | 1st Year Analyst | Toronto | Restructuring | |
| 2017 | 2nd Year Analyst | New York | Management Consulting | |
| 2016 | 2nd Year Associate | Atlanta | Accounting | |
| 2016 | Senior Consultant | Washington | Performance Improvement | |
| 2016 | Intern | New York | N/A | |
| 2015 | Manager | New York | Consulting | |
| 2015 | 2nd Year Associate | Chicago | Management Consulting | |
| 2015 | Intern | New York | Performance Improvement |
Pages
Overview
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.
The Overall Ranking is generated based on the Company Reviews.
- 1 Star
- 2 Stars
- 3 Stars
- 4 Stars
- 5 Stars
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