Data Analyst (Stata) | Remote

Role Overview

Econometric Data Analyst (Stata SE), remote. This analyst role supports econometric research focused on panel data and causal inference, delivering reproducible outputs and actionable findings for academic and policy stakeholders.

Responsibilities

• Design and implement advanced econometric models in Stata SE, focusing on panel data and causal inference.
• Develop, maintain, and optimize Stata do-files for efficient data management, automation, and reproducible workflows.
• Perform rigorous data cleaning, transformation, and validation on large-scale datasets.
• Produce clear, actionable insights via well-documented code, technical reports, and presentations.
• Collaborate with the customer team to align on objectives, communicate findings, and iterate as needed.
• Stay current with best practices in econometric research and Stata SE, and share knowledge with peers.
• Ensure outputs meet reproducibility, transparency, and ethical data handling standards.

Requirements

• Expert proficiency in Stata SE and experience with econometric modeling and do-file automation.
• Strong understanding of panel data analysis, causal inference methods, and optimization for large datasets.
• Excellent skills in data cleaning/prep/validation for complex statistical analysis.
• Strong written and verbal communication; ability to clearly document and present results.
• Proven ability to deliver reproducible research outputs and maintain analytic integrity.
• Self-motivated and organized; able to work effectively in a fully remote environment.
• Advanced degree in Economics, Statistics, Data Science, or related field.
• Prior collaboration experience with academic or policy-focused institutions.

Nice-to-Haves

• Familiarity with complementary tools/languages such as R or Python.