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The success of an organization depends on the performance of its employees. In this ultra-competitive job market, organizations are forced to quickly understand the intrinsic and extrinsic factors that concern employees. Organizations have historically depended on various surveys to understand what their workforce is thinking about different aspects of their employment. Though effective, employee surveys often follow a boilerplate template and often fail to capture the emerging socio-economic changes. Capturing employees’ feedback using text allows workers to express themselves and provides excellent insight into the latent themes. This paper offers a three-step framework to understand employee experience using Indeed reviews as a proxy. We leverage Natural Language Processing techniques such as N-gram analysis, sentiment analysis, and topic modeling to bring forward latent topics of discussion.