Junior data analyst full time remote

Company Profile Important: After applying check your inbox or spam folder for next steps. The Junior Data Analyst (JDA) assists in creating household and village-level surveys, data cleaning, data analysis, and award management for Randomized Control Trials, Geospatial Impact Evaluations and other research projects. Main responsibilities of the JDA include:Assist in researching, creating, and testing household surveys that will be fielded in various developing countries.Help to remotely oversee fieldwork, check data as it is collected, and help to clean and process the data upon delivery. Obtain and/or compile existing survey, geospatial, or other data types as necessary, and cleans and processes these data prior to any analysis. Consult with Principal Investigators or other senior staff on the empirical designs and analytical methods for causal identification.In some cases, the JDA will oversee student Research Assistants who assist with preparing the necessary data, including supervising their work and resulting data quality.Required QualificationsEDUCATION :Bachelor’s degree from an accredited institution in a related discipline, such as economics, international relations, government, statistics, or public policy; or An equivalent combination of training, education, and/or experience indicating possession of the preceding knowledge, skills, and abilities.KNOWLEDGE , SKILLS , AND ABILITIES :Knowledge of research methods in quantitative research.Demonstrated experience working with complex datasets, statistical software, and impact evaluation methods.Demonstrated skill in utilizing new research tools and/or the ability to learn and employ new tools as needed.Demonstrated 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.Demonstrated ability to effectively organize, prioritize, and navigate multiple projects while still undertaking day-to-day operations.Proven skills in the use of Stata.Demonstrated ability to clean and analyze data, including building/merging datasets and data analysis, providing a high-level of attention to detail and accuracy.Demonstrated ability to communicate effectively, orally and in writing, to a diverse population of faculty, staff, students, and other internal and external stakeholders, promoting and enhancing diversity and inclusion.Preferred QualificationsEXPERIENCE :Experience communicating statistical analysis and results in writing and in presentations for diverse audiences;Familiarity with geospatial software and techniques;Experience and/or familiarity with additional computer programming languages such as R and Python;Experience with LaTeX. Powered by Webbtree