Data Analyst, Penn Wharton Budget Model
$61k - $85kThe University of Pennsylvania
Data Analyst, Penn Wharton Budget ModelThe 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. This position is contingent upon restricted funding.Job ResponsibilitiesUnder the guidance of PWBM team leader and PWBM's Faculty Director, 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.QualificationsA Bachelor's degree is required. Field of study (undergraduate or graduate) in Economics, Statistics, Finance, Mathematics, or a related discipline is required. A minimum of 2 years of experience, or equivalent combination of education and experience, is required.Additional credentials, skills, and qualities:Previous experience serving as a research associate/data analyst or pursuing independent research as an undergraduate (or graduate student) is required.Proficiency with programming languages, such as Python and R is required.Experience working with microdata or with data from Federal statistical agencies such as the Census Bureau, BLS, and BEA is preferred.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.Job Location - City, StatePhiladelphia, PennsylvaniaPay Range$61,000.00 - $85,000.00 Annual RateSalary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.Equal Opportunity StatementThe University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
$99k - $232k
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$15 per hour
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$105.4k - $207.8k
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$77.76k - $180.08k
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$100k
...programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experiencePreferred skills for data Science/Data Analyst/AI/Machine learning positions: Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering,...H1bRemote work- ...DutiesConsults with stakeholders and customers to identify the appropriate data, methodological approach, and design. Conducts observational analyses using software and/or programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict...For contractors
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