Data Analyst Post-Doctoral Research Scientist

Key Responsibilities

Participate in the development, review and translation of research tools;
Participate in the pre-testing of data collection platforms;
Data cleaning including doing all required consistency checks for project data;
Document project data sets according to the Center’s guidelines on data documentation, archiving and sharing;
Extract data and prepare analytical files;
Develop template syntax files for research staff to use in creating various data sets;
Perform basic and advanced statistical analysis of data;
Assist in training other staff members on data analysis
Participate in scientific writing;
Write technical reports on data issues; and
Participate in proposal development and literature review.

Key Competencies

Strong conceptual and analytical skills including the ability to analyze and interpret large data sets;
Proactive and self-motivated; and
Strong verbal and written communications skills.

Qualifications and Experience

Master’s degree in statistics or equivalent;
A minimum of 5 years relevant post-qualification experience;
High level quantitative skills (managing, analyzing and interpreting data), such as multivariate and multilevel/longitudinal analyses (preferably with STATA);
Computer literacy in Microsoft packages (Word, PowerPoint, and Excel); and
Experience using Open Data Kit (ODK) software and Nesstar is highly desirable.

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