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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
Method of Application
Interested and qualified? Go to African Leadership University (ALU) on boards.greenhouse.io to apply
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