Harvard University is looking to expand the use of data analytics to support strategic objectives through informed, fact-based, and analytical understanding. The role will focus on big-picture and strategic issues, developing policy through large, complex, and multi-faceted projects.
Requirements
- Ph.D. in Economics, Public Policy, Statistics, or related field.
- Minimum 2 years of professional experience in applied econometric analysis, preferably in policy evaluation, government, or academic settings.
- Expertise in: Causal inference and econometric modeling
- Expertise in: Analysis of big data
- Expertise in: Cost-benefit analysis
- Expertise in: Quantitative impact evaluation and forecasting
- Programming languages such as R, Stata, Python, and SAS
Responsibilities
- Conduct economic and statistical analysis to support evidence-based investments and cost-benefit evaluation to promote economic mobility.
- Design and implement statistical and econometric models to estimate program impacts, develop financial models of returns to program investments, and conduct cost-benefit and impact analyses.
- Translate findings from these analyses and other ongoing research at Opportunity Insights into actionable insights for external stakeholders and the broader public.
- Lead efforts to acquire, clean, and manage large administrative and program datasets.
- Design and conduct econometric studies assessing the effectiveness of public policies, social programs, and other mobility-related interventions.
- Apply causal inference methods including matching estimators, quasi-experimental designs, and other techniques.
- Model financial returns from alternative portfolios of investments, including expected returns and risk assessment.
Other
- Minimum of seven years’ post-secondary education or relevant work experience
- Supervisory experience
- Writing technical and non-technical economics papers
- Proven ability to translate technical results into actionable policy insights.
- Excellent written and verbal communication skills, including experience presenting to non-technical audiences.
