Business Intelligence Developer

In 2000, Teach for America alumnus and Yale graduate Zeke Vanderhoek had a radical idea: students learn better from better teachers. His vision of what test prep could be if taught by great educators led him to assemble a team of highly qualified teachers, recruiting only those with 99th percentile scores and substantial teaching experience. And with them, Manhattan Prep was born.

Manhattan Prep applies data analytics to improve student outcomes, instructor performance, and the effectiveness of its marketing campaigns. Our Business Intelligence Developer is charged with building and maintaining Manhattan Prep’s reporting infrastructure, and communicating the results with stakeholders in the company. As a Business Intelligence Developer at Manhattan Prep, you will apply programming skills to complex problems; data-driven results set the company’s direction and inform its decision-making processes. The work is challenging, fast paced and always changing. Strong analytical skills, an unwavering commitment to quality, a collaborative work ethic and cutting edge coding skills are all required. Our Business Intelligence developer is our in-house statistical expert and requires independence, a healthy level of skepticism, and the ability to stick to your guns. You will be given substantial responsibility with room for professional growth. If you seek a challenging, exciting, and creative programming role while working with the some of the world’s best teachers this might be the position for you.

* Own the reporting and analytics over all of Manhattan Prep’s data * Work with stakeholders in each of Manhattan Prep’s departments to improve outcomes across departments * Develop insights into the different verticals within Manhattan Prep’s business * Design experimental approaches to learning and evaluate their results * Communicate results with Manhattan Prep’s Leadership Team * Participate in a strong tech culture

**Required:** * Python * MySQL * Statistics * Ability to communicate technical results with non-technical teams **Good-to-haves:** * Tableau * git * numpy, scikit-learn, and data visualization frameworks