Senior Econometric Data Analyst

Position: Econometric Data Analyst (Stata SE)

Type: Analyst

Compensation: $20 - $100/hour

Location: Remote

Commitment: 10–40 hours/week

Role Responsibilities

• Design and implement advanced econometric models using Stata SE, with a focus 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

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• Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders
• Collaborate closely with our customer's 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

Requirements

• Expert proficiency in Stata SE with 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

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• Exceptional written and verbal communication skills with strong attention to clarity and detail
• Proven ability to document processes and present findings to diverse audiences in academic or policy contexts
• Experience producing reproducible research outputs and maintaining analytic integrity
• Self-motivated, organized, and capable of thriving in a fully remote environment
• Advanced degree 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)

Application Process (Takes 20 Mins)

• Upload resume
• Interview (15 min)
• Submit form