Crossing Hurdles

Data Analyst (Stata) | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Econometric Data Analyst (Stata SE) contract for 10–40 hours/week, paying $20 - $100/hour. Key skills include Stata SE, panel data techniques, and data validation. Strong communication and independence are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
April 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Cleaning #R #Data Analysis #Data Integrity #"ETL (Extract #Transform #Load)" #Python #Automation #Datasets #Data Processing
Role description
Position: Econometric Data Analyst (Stata SE) Type: Hourly contract Compensation: $20 - $100/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities • Design and implement advanced econometric models using Stata SE, focusing on panel data and causal inference methods. • Develop and maintain do-files to support efficient data processing, automation, and reproducible workflows. • Clean, transform, and validate large datasets to ensure accuracy and reliability. • Analyze complex data and generate actionable insights for academic and policy-oriented use cases. • Document methodologies, code, and results in structured technical reports. • Collaborate with cross-functional teams to refine analysis and align with project objectives. • Ensure research outputs meet high standards of reproducibility, transparency, and data integrity. Requirements • Strong experience using Stata SE for econometric modeling and data analysis. • Strong understanding of panel data techniques and causal inference methods. • Proficiency in data cleaning, transformation, and validation for large datasets. • Excellent written and verbal communication skills with strong attention to detail. • Ability to document analytical processes and present findings clearly. • Ability to work independently in a remote, collaborative environment. • Familiarity with additional tools such as R or Python is a plus. Application Process (Takes 20 Min) • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage