Senior Econometric Data Analyst (Stata SE Expert)

About the Role

Join Crossing Hurdles as a Senior Econometric Data Analyst to drive high-impact research through advanced statistical modeling. You will play a pivotal role in transforming complex datasets into actionable insights for academic and policy-making purposes, ensuring the highest standards of scientific rigor.

Main Missions

• Design and implement advanced econometric models using Stata SE, with a specialized focus on panel data and causal inference methodologies.
• Develop, optimize, and maintain robust do-files to ensure efficient data processing, automation, and fully reproducible workflows.
• Perform complex data cleaning, transformation, and validation on large-scale datasets to guarantee precision and reliability.
• Analyze intricate data structures to produce high-level insights tailored for academic publications and policy recommendations.
• Document all methodologies, codebases, and analytical results within structured technical reports.
• Collaborate with cross-functional teams to refine analytical approaches and align research outputs with project objectives.
• Uphold strict standards of reproducibility, transparency, and data integrity across all research deliverables.

Candidate Profile

• Proven expertise in econometric modeling and advanced data analysis using Stata SE.
• Deep understanding of panel data techniques and causal inference frameworks.
• Strong ability to manage, clean, and validate large and complex datasets.
• Exceptional written and oral communication skills for technical reporting and stakeholder engagement.
• High attention to detail and a commitment to methodological transparency.
• Ability to work autonomously in a remote, collaborative environment.

Required Skills

• Advanced Stata SE (Expert level)
• Causal Inference & Panel Data Econometrics
• Data Cleaning & Large Dataset Management
• Technical Documentation & Reporting
• Statistical Programming (R or Python is a plus)