
Quantitative Policy Analyst
2 days ago
About PIF:
We are a purpose-driven action tank focused on shaping evidence-based, impactful policies for India's economic transformation. Our team works closely with state and central governments to drive district-led development, export-led manufacturing, Ease of doing business, strengthen data systems, and conduct impact assessments.
Role Overview:
As an Associate Fellow, you will lead the development of data-driven research and policy analysis projects, applying advanced econometric and statistical methods (DiD, IV, PSM, panel data models) for causal insights. You will work with large-scale datasets, including administrative, labour, GST, satellite, and survey data.
Key Responsibilities:
- Develop and implement data-driven research and policy analysis projects.
- Design and apply advanced econometric and statistical methods for causal insights.
- Analyze large-scale datasets to identify trends and patterns.
- Translate evidence into policy recommendations and clear outputs.
- Collaborate with researchers and stakeholders to inform policy decisions.
Required Skills and Qualifications:
- Masters/PhD in Economics, Econometrics, Data Science, or related quantitative discipline.
- Strong training in econometrics, statistics, and programming (Stata, R, Python).
- Experience (7+ years) in empirical research, data analysis, and publication.
Benefits:
This role offers the opportunity to work on high-impact projects, collaborate with a team of experts, and contribute to shaping evidence-based policies for India's economic transformation.
Application Process:
Please submit your CV, cover letter, and 1-2 writing samples (preferably empirical research, such as published papers or op-eds) to us.
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