Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

SENIOR DATA ANALYST, edX-Enterprise Team, to support an emerging workforce development product, edX For Business, which encourages upskilling and reskilling in the workplace. Responsibilities include developing, documenting, automating, and monitoring metrics and reports; designing data models, writing ETL scripts, and ensuring accuracy and alignment with desired business objectives; providing data and analysis to support decisions supporting the advancement of the team; identifying, implementing, and driving adoption of analytics-based solutions to business problems; influencing decisions at all levels of the organization, including presenting findings to senior leadership; and innovating new ways that the analysis of data can be used to support the organization and its mission. 

The position provides the opportunity to join a highly talented, collaborative, and practical data team, collaborate cross-functionally and with senior leadership on high visibility initiatives, focus energy on business impact, play a key role in transforming a company early in its analytical journey, solve challenging technical problems involving large volumes of data using cutting-edge tools, furthering an important social cause, and impact edX's sustainability. 

Job Requirements

REQUIRED: bachelor’s degree in a quantitative discipline; five years’ hands-on experience analyzing real-world data; ability to acquire and manipulate data programmatically and draw scientifically robust conclusions; strong SQL skills and experience with a scripting language such as Python/R; experience supporting cross-functional teams with a wide range of analyses; attention to detail and the big picture; excellent communication and problem-solving skills; and a desire to work collaboratively.

PREFERRED: graduate degree in a quantitative discipline or an MBA with a strong quantitative bent, experience in a B2B environment, and experience with BI tools (e.g. Tableau, Power BI). Job #18683-Q

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

MIT considers equivalent combinations of experience and education for certain jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.