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Seniority (Project, program management, Non-profit, social work)
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Teaching At The Right Level
Non-profit + 1 more
Description
Required minimum Skills and Competencies:
- A Bachelor’s degree in Economics, M&E, Social Sciences, Development Studies, or a related field required.
- Posses 2-4 years relevant work experience.
- Strong data analysis skills with proven experience working with data software, including data collection, analysis and visualization platforms (Required: Advanced Excel; Strongly preferred: STATA, Kobo Collect, Power BI, SurveyCTO).
Responsibilities
1. Support Routine Data Collection and Processing (30%)
- Expected Outcome: Reliable and timely data is gathered from schools and program activities.
- Impact: Monitoring data is available for program reviews and decision-making.
- Contribution: Maintains consistency and accuracy in ongoing program reporting.
2. Assist in Field Monitoring and Documentation (25%)
- Expected Outcome: Field visits generate useful insights for program reflection and course correction.
- Impact: Implementation issues are identified and resolved early.
- Contribution: Field-based evidence improves classroom practice and program delivery.
3. Contribute to Data Analysis and Visualization (20%)
- Expected Outcome: Program dashboards and reports accurately reflect trends and progress.
- Impact: Teams and stakeholders are better informed about program performance.
- Contribution: Enhances transparency and learning across teams.
4. Facilitate Basic Training and Support for Government Partners (15%)
- Expected Outcome: Local officials are more confident in collecting and interpreting data.
- Impact: Increased use of evidence in decision-making at the local level.
- Contribution: Builds long-term sustainability of data systems within public structures.
5. Participate in Learning and Research Activities (10%)
- Expected Outcome: Contributions to studies and learning projects add value to broader organizational knowledge.
- Impact: New ideas and tools are tested and refined.
- Contribution: Supports innovation and adaptation in TaRL programming.
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