Research Data Analyst
Posted: 8/29/2017 (Employment)
We are looking to hire several full-time research data analysts (RDAs) for the academic year 2018-19 to work with our research group on the Equality of Opportunity Project. The overarching mission of the project is to develop scalable policy solutions that will empower families throughout the United States to rise out of poverty and achieve better life outcomes. We pursue this mission primarily by conducting rigorous, scientific research that harnesses the power of big data using an interdisciplinary approach. Current projects study the long-term impacts of neighborhoods, the role of colleges as a pathway to upward mobility, the determinants of innovation and entrepreneurship, and how social networks may affect poverty. The research uses big data and quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Recent results from these projects have appeared in the New York Times and have been cited in the President’s State of the Union address.
We anticipate positions available in Stanford CA, Cambridge MA, Providence RI, and Washington D.C. under the direction of Professors Chetty, Friedman, and Hendren. The work will include a variety of tasks that provides preparation for graduate school, such as analyzing data, developing statistical models, creating presentations, and editing research papers. In addition to working with faculty as research assistants, the RDAs frequently co-author papers with other students or faculty members. RDAs will interact regularly with professors and their collaborators – such as David Deming, Matthew Jackson, and Emmanuel Saez -in a team-oriented lab environment, with weekly lab meetings and other informal events. The program serves as an ideal bridge between college and graduate school for students interested in empirical economics. Most RDAs have gone on to top PhD programs. Salary will be competitive.
To apply, complete application here and follow link to upload your cover letter (optional), resume, transcripts, and a writing sample through the Stanford Opportunity Lab’s online form. https://goo.gl/forms/ekJXlgoFQwqoaxnA2
Hires will be made for a TWO-YEAR, fixed term position renewable contingent on funding and programmatic need.
- Collect, manage and clean datasets.
- Create databases and reports, and employ existing tools to interpret, analyze, and visualize multivariate relationships in data.
- Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
- Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
- Analyze data processes in documentation.
- Collaborate with faculty and research staff on data collection and analysis methods.
- Provide documentation based on audit and reporting criteria to investigators and research staff.
- Communicate with government officials, grant agencies and industry representatives.
* Other duties may also be assigned
Background check will be required for all final candidates.
Education & Experience: Bachelor’s degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering.
Knowledge, Skills and Abilities:
- Substantial experience with MS Office and analytical programs.
- Strong writing and analytical skills.
- Ability to prioritize workload.
Certifications and Licenses: None
- Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
- Occasionally use a telephone.
- Rarely writing by hand.
Some work may be performed in a laboratory or field setting.
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety, communicates safety concerns, uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/.
Location: Stanford University