Survey Research Assistant/Technical Associate I

Massachusetts Institute of Technology - Cambridge, MA

Full-time

Cambridge, MA

Educational Services

About the position

The Survey Research Assistant/Technical Associate I position at MIT Sloan Initiative on the Digital Economy involves conducting surveys and analyzing survey data to ensure accuracy. The role requires advanced skills in R for data wrangling, cleaning, and visualization, as well as the ability to present complex information clearly. The assistant will document processes, maintain organized records, troubleshoot issues, and collaborate with interdisciplinary teams on group projects.

Responsibilities

• Conduct surveys and analyze survey data to ensure accuracy.
• Utilize advanced R skills for data wrangling, cleaning, and visualization.
• Present complex information in a clear and understandable manner.
• Document processes and maintain organized records.
• Troubleshoot issues and propose effective solutions.
• Collaborate with interdisciplinary teams to contribute meaningfully to group projects.

Requirements

• Bachelor's degree in social sciences, statistics, data science, economics, or a related field.
• Exceptional attention to detail and commitment to producing accurate, high-quality work.
• Excellent organizational and documentation skills.
• Ability to work independently, troubleshoot issues, and propose solutions.
• Proven experience in survey data analysis.
• Advanced proficiency in R, including data wrangling, cleaning, and visualizations.
• Advanced ability to present complex information clearly.
• Relevant research or work experience in survey research.
• Robust foundation in survey methodology and quantitative research methods.
• Experience with complex survey sampling techniques and survey weighting.
• Experience implementing complex surveys into survey software platforms.
• Excellent communication skills, verbal and written.
• Ability to work in teams and make meaningful contributions to group and interdisciplinary projects.
• Proven data analysis and visualization skills.

Nice-to-haves

• Master's degree in social sciences, statistics, data science, economics, or a related field.
• Coursework or experience in artificial intelligence, algorithms, hardware, software, or economics.