We are hiring a Senior Econometric Data Analyst to support advanced research and policy-focused analytical projects. The role requires expertise in Stata SE, panel data analysis, and causal inference. The ideal candidate will have strong technical rigor, analytical precision, and communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
- Title: Econometric Data Analyst (Remote)
- Location : Remote
- Compensation: $20 – $100 per hour
- Engagement Type: Independent Contractor
We are hiring for one of our clients seeking an Econometric Data Analyst with deep expertise in Stata SE to support advanced research and policy-focused analytical projects.
This role is ideal for professionals experienced in panel data analysis, causal inference, and reproducible research workflows.
Role Overview
You will design and implement econometric models using Stata SE, manage complex datasets, and produce well-documented, reproducible research outputs. The role requires strong technical rigor, analytical precision, and the ability to communicate findings clearly to academic or policy audiences.
Key Responsibilities
- Design and implement econometric models using Stata SE
- Conduct panel data analysis and apply causal inference techniques
- Develop and optimize do-files for automation and reproducibility
- Clean, transform, and validate large-scale datasets
- Produce clear technical reports, memos, and presentation materials
- Collaborate with cross-functional teams to refine analytical approaches
- Ensure transparency, reproducibility, and ethical data handling standards
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Required Qualifications
- Expert proficiency in Stata SE
- Strong experience with econometric modeling and automation via do-files
- Advanced knowledge of panel data methods and causal inference frameworks
- Experience handling and optimizing large datasets
- Strong documentation and reporting skills
- Ability to communicate complex findings clearly to non-technical stakeholders
- Self-motivated and comfortable working in a remote environment
Preferred Qualifications
- Master’s or PhD in Economics, Statistics, Data Science, or related field
- Experience supporting academic research or policy institutions
- Familiarity with complementary tools such as R or Python
- Experience producing peer-reviewed or policy-grade analytical outputs
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Ideal Candidate Profile
- Methodologically rigorous and detail-oriented
- Strong emphasis on reproducibility and clean documentation
- Comfortable working with complex longitudinal or administrative datasets
- Able to translate quantitative findings into practical insights
Engagement Details
- Independent contractor engagement
- Fully remote
- Flexible scheduling
- Hourly compensation based on expertise and project complexity
- Project duration may vary depending on needs and performance
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
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