A bachelor's degree in data science, Statistics, Applied Statistics, Economics and Statistics, Information Systems, Computer Science, Information Technology, Business Information Technology, Mathematics and Computer Science, Operations Research, Actuarial Science, Monitoring and Evaluation, or another closely related quantitative discipline.
Candidates from a technical or computing discipline should demonstrate basic exposure to MEL, research or programme-performance concepts through coursework, academic research, volunteering or self-directed learning. Candidates from Monitoring and Evaluation or a related development discipline should demonstrate foundational quantitative, data-management and digital-systems capability.
Graduated within twelve (12) months for bachelor's degree holders; or Awaiting graduation, completed course work.
Basic understanding of MEL concepts, such as theories of change, results frameworks, indicators, data collection, data quality, analysis, reporting, learning and adaptive management.
Foundational knowledge of quantitative and qualitative research methods gained through university coursework, a final-year project, capstone assignment or equivalent academic work.
Basic competence in Microsoft Excel, including data organization, formulas, sorting, filtering, tables, charts and preferably pivot tables or lookup functions.
Demonstrated interest in learning Power BI, CommCare, databases, SQL, Microsoft Azure and statistical or programming tools such as Stata, SPSS, R or Python.
Ability to think analytically, identify inconsistencies, follow procedures and communicate findings clearly in writing and verbally.
Strong attention to detail, integrity and willingness to handle confidential information responsibly.
Ability to work respectfully and collaboratively in a diverse team and to seek guidance when needed.
Proficiency in written and spoken English; working knowledge of Kiswahili is required.
Willingness and ability to travel to programme locations when required.
GK
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