Friday, January 10, 2025

PWBM Data Analyst Position Accepting Applications

Data Analyst  

Institution: The Wharton School, University of Pennsylvania 

Penn Wharton Budget Model (PWBM) is seeking to hire one or more Data Analysts with a deep interest in economic research and public policy to assist with research on topics such as tax reform, education, immigration, entitlements reform, and the federal budget. Job responsibilities include assisting with research and model development, compiling and maintaining databases, performing statistical analyses, writing research reports, and providing research-related technical programming support. 

Candidates are required to have a bachelor’s degree, preferably in Economics, Statistics, Finance, Mathematics, Computer Science, or a related discipline. A thorough understanding of economics and public policy, ability to use statistical and programming tools, and self-motivation are highly valued in performing these functions. The ideal candidate is interested in spending two years with us before heading to graduate school.

Apply for this position at:  

https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/3440-Market-Street/Data-Analyst--Penn-Wharton-Budget-Model_JR00099644-1?q=Penn%20Wharton%20Budget%20Model

Applicants should include the following in their resume: overall GPA, GPA by field(s), a partial list of advanced courses taken in related disciplines listed above, and any computer skills, including coding languages.  

More about PWBM: 

PWBM informs policy discussions in Washington, D.C. by supporting the production of data-driven, non-normative research on issues at the intersection of business and public policy. Its work is widely cited and has been influential in many key recent policy discussions, including tax reform, infrastructure, health care and entitlement reform, immigration, education, and the federal debt outlook. PWBM is non-partisan and does not make policy recommendations. For more information visit:  https://budgetmodel.wharton.upenn.edu/