Junior Data Analyst

William & Mary
  • Location
    Williamsburg, Virginia
  • Sector
  • Experience
    Early Career
  • Apply by
  • Posted
    May 26

Position description

The Junior Data Analyst in AidData’s Research and Evaluation Unit assists in data gathering, joining and analysis for Geospatial Impact Evaluations and other research projects. The JDA obtains and/or compiles survey, geospatial, satellite, or other data types, and cleans and processes these data prior to analysis. In some cases, the JDAoversees a team of student Research Assistants who geocode the necessary data, including supervising their work and resulting data quality. The JDA consults with Principal Investigators or other senior staff on the empirical designs and analytical methods for causal identification, implementing these with some support and oversight. Where these methods involve big data, the JDA may need to perform this analysis on the high performance computing cluster (HPC) at W&M. The JDA may also conduct qualitative or contextual research to interpret data or findings and place them in context. The JDAplays a supporting role in preparing reports and papers for publication, and in some cases may be a named author on publications.


• A Bachelor’s degree in a related discipline, such as economics, international relations, government, statistics, or public policy; or commensurate professional experience.
• Analytical skills, a detail oriented nature and demonstrated experience working with complex datasets, statistical software, and impact evaluation methods.
• Ability and eagerness to learn and employ new tools as needed.
• Ability to work independently and collaboratively in a demanding and complex work environment, to carry out assignments in a timely manner, and to adapt to changing situations and priorities;
• Ability to multi-task by working on projects while still undertaking day-to-day operations
• Basic knowledge of R or Stata.
• Ability to clean and analyze data, including building/merging datasets and running regressions

Preferred Qualifications

• Experience communicating statistical analysis and results in writing
• Familiarity with geospatial software and techniques;
• Knowledge of computer programming languages;

Application instructions

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