Data Analyst (Stata) | Remote
Crossing HurdlesUnited States20 hours ago
ContractRemote FriendlyInformation Technology
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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
- 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
- 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
Key Skills
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