ABOUT THE ROLE
You will be responsible for:
Data collection and management:
Designing survey instruments, interview guides, and other data collection tools
Supporting the design and implementation of monitoring and evaluation systems
Maintaining large datasets, including implementing quality checks
Research:
Researching evaluation techniques, new measurement frameworks, data collection and analysis techniques
Conducting ad-hoc literature reviews
Data cleaning and analysis:
Cleaning and analyzing results using advanced statistical techniques
Reporting:
Assisting in the development of written reports of different forms (briefs, memos, reports, blog posts) and presentations to illustrate our impact story
Developing impactful and visually appealing visuals, leveraging infographics to share results with a wide range of technical and non-technical audiences
REQUIREMENTS
A bachelor’s degree in economics, statistics, or related fields, with experience in econometrics and inferential statistics.
At least 1 year of work experience, in quantitative and qualitative data analysis, sampling, surveying
Strong analytical skills with the ability to collect, clean and analyze data, and disseminate results with accuracy
Proven experience with developing impactful data visualizations
Very good knowledge of R/STATA or Python
Strong verbal and written communication skills
Self-directed, motivated, energetic, creative, and a problem solver
The ability to manage multiple responsibilities with competing deadlines
Phenomenal attention to detail
Preferred
Knowledge and interest in data science and machine learning
Apply via :
boards.greenhouse.io
