University of Pennsylvania-posted 4 months ago
$61,000 - $85,000/Yr
Full-time • Entry Level
Philadelphia, PA
5,001-10,000 employees

The Penn Wharton Budget Model 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. To this end, PWBM is seeking a Data Analyst to assist with research on a variety of public policy topics, including tax reform, health care and entitlements reform, immigration, education, 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. A knowledge of or desire to learn and use cutting-edge technologies and programming methods is required. 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. Two-year position subject to renewal based on the discretion of faculty director and available funds.

  • Contribute to research and the development of models for policy and economic analysis in Python and R.
  • Utilize programming skills (including Python, R, and SQL) to compile, clean, organize, and maintain datasets.
  • Perform statistical analysis in support of PWBM research projects.
  • Analyze data and create tables and charts for PWBM research and publications.
  • Contribute to the writing of PWBM publications, such as issue briefs, blog posts, working papers, and model documentation.
  • A bachelor’s degree, preferably in Economics, Statistics, Finance, Mathematics, Computer Science, or a related discipline.
  • A minimum of 2 years of experience, or equivalent combination of education and experience.
  • Previous experience serving as a research associate/data analyst or pursuing independent research as an undergraduate.
  • Proficiency with programming languages, such as Python and R.
  • Experience working with microdata or with data from Federal statistical agencies such as the Census Bureau, BLS, and BEA.
  • Strong interest in economics and public policy and aptitude for graduate-level research.
  • Ability to work independently and collaboratively as part of a team.
  • Demonstrated self-starter.
  • Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits.
  • Tuition assistance for employees, their spouses, and dependent children.
  • Generous retirement plans including Basic, Matching, and Supplemental retirement plans.
  • Substantial time away from work for personal needs.
  • Long-term care insurance for faculty and staff.
  • Wellness and work-life resources.
  • Professional and personal development resources.
  • Access to University resources and cultural activities.
  • Discounts and special services for faculty and staff.
  • Flexible work options.
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