About Us: At Emendata, we help bridge the gap between data and the real world. We partner with organizations that have a social mission and help them tackle their problems using analytics. Our role in these partnerships goes end to end—we handle everything from wrangling the data to analyzing the problem to turning the results into something actionable. Importantly, we understand that this analytics pipeline does not live in a vacuum. Getting to meaningful numbers requires more than just the right methods; it calls for understanding the people, policies, data, and systems involved. With this approach, our small but fast-growing team is having a big impact, taking on challenges like using predictive analytics to combat fraud, waste, and abuse in Medicare.


About the Role: Fundamentally, this role is for someone who likes solving problems with data. To take these analytic projects from end to end, we need your help in:

  • Context: Understanding the client’s problem and identifying the right research questions

  • Data: Corralling the data needed for analysis by cleaning, linking, and structuring large datasets

  • Analysis: Deploying the right analytic tool for the job and interpreting the results

  • Delivery: Bringing the results together in a narrative and communicating it effectively


Beyond individual projects, you would also help shape how we as a company approach analytics. Right now, we are putting in place the institutions and practices that will define what analytics at Emendata look like, which spans everything from tools and methods to processes and roles.


Qualifications: We are growing rapidly and looking for people at all stages of their careers, from new grads to analytics experts. If you do not meet all the criteria below but still think you would be a good fit, please apply and we will see if we can find the right spot for you on the team. We value experience but also welcome aptitude and enthusiasm.

  • Education: Bachelor’s or master’s degree in a quantitative field or equivalent technical training

  • Programming: Intermediate experience with Python, SAS, Stata, or R

  • Analysis: Exceptional problem-solving skills with an understanding of statistical/social science research methods

  • Working Style: Intellectually curious (keep pulling on threads until finding an answer) and enterprising (eager to tackle the unknown and find a way to make things happen)

Applying: To apply, please send your resume and a completed application form (linked below) to


To be considered for this position, applicants must have the ability to work in the U.S. without a need for current or future visa sponsorship.

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