Econometric Data Analyst (Remote)
Posted Today by North Star Staffing
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Econometric Data Analyst role is a remote position focused on supporting advanced research and policy-oriented analytical projects using Stata SE. Candidates should possess expertise in econometric modeling, panel data analysis, and reproducible research workflows. The position emphasizes strong technical skills, analytical precision, and effective communication of findings to diverse audiences. Ideal candidates will be self-motivated and capable of managing complex datasets while ensuring transparency and ethical data handling standards.
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
Key Skills:
- 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
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
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
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
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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