Job Description

As an Econometric Data Analyst specializing in Stata SE, you will utilize your advanced econometric modeling skills to deliver impactful research solutions. This role offers the chance to work with complex datasets and optimize workflows while translating data-driven insights for both academic and policy-driven environments. This is a unique opportunity to contribute to high-impact projects from a fully remote setting. Key Responsibilities

• Design and implement advanced econometric models using Stata SE, focusing on panel data and causal inference techniques.
• Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows.
• Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability.
• Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders.
• Collaborate closely with the team to understand project objectives, communicate findings, and iterate on analysis as needed.
• Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers.
• Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling.

• Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files.
• Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques.
• Strong skills in data cleaning, preparation, and validation for complex statistical analysis.
• Exceptional written and verbal communication skills, with a keen attention to clarity and detail.
• Proven ability to document processes and present findings to diverse audiences in academic or policy contexts.
• Experience in producing reproducible research outputs and ensuring high standards of analytic integrity.
• Self-motivated, organized, and capable of thriving in a fully remote environment.

• Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field.
• Prior experience collaborating on projects for academic or policy-focused institutions.
• Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.

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