Econometric Data Analyst (Stata SE)

Econometric Data Analyst (Stata SE)

Work as an Econometric Data Analyst (Stata SE), where you will use your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments

Details

• Job type: Analyst
• Location: Remote

Day-to-day

• 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-the team 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 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

You bring

• 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
• 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 remote environment

Bonus

• 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