Kaiser Associates Review Data
8 total review submissions
|2020||1st Year Analyst||Washington||Generalist||Good culture (tight-knit and helpful juniors), typically…||WLB can get bad, lack of formal training, understaffed…|
|2020||1st Year Associate||Washington||Generalist||Great client work and strategy projects. Phenomenal place…||Unpredictable hours. Often due to under-resourced or thin…|
|2020||2nd Year Analyst||Washington||Generalist||Lots of opportunity to interface with c-suite level clients…||Salary is not commensurate with hours / other firms in the…|
|2019||1st Year Analyst||Folsom||N/A||Tons of exposure to different projects. Structured work…||Slow upward movement. Have to put in your time in order to…|
|2019||1st Year Analyst||Washington||Generalist||Firm had lots of nice people and DC is a nice place to live…||Hours can be unpredictable and long at times. No travel if…|
|2018||Vice President||Washington||Generalist||Entrepreneurial culture, great clients, excellent work-life…||Lack of established governance structure has prevented…|
|2018||Vice President||Washington||Consulting||Lots of great day-to-day perks for employees (fully stocked…||Bench runs lean which means during peak periods consultants…|
|2012||Principal||Washington||Generalist||Client exposure, international opportunities, favorable…||Management lacks a long-term vision, low-quality coworkers…|
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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