Intern, Data Learning NGO Job Evidence Action
NGO Jobs. Evidence Action Jobs
The Intern, Data Learning, MLE will directly support Evidence Action’s evidence-driven work. The position primarily works with the Associate, Data Learning, in driving the department’s key goal of translating analytical output into high-quality reports, visuals, and dashboards tailored for different audiences, including program teams, donors, and management. The intern will also take part in reporting findings during various in-house meetings, both in-person and virtually.
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Duties and Responsibilities
- Develop periodic high-quality written and visual reports and presentations for program teams and management.
- Translate analytical output into clear, actionable insights for decision-making.
- Support trainings and mentorship sessions for MLE field teams in preparation for routine program report disseminations.
- Explore and propose new analytical and visualization tools to enhance the presentation and understanding of MLE work.
- Regularly attend MLE and cross-program meetings as required.
- Identify innovative methods or tools for conducting MLE work and participate in piloting these innovations.
- Provide support in basic data quality checks before reporting.
- Support note-taking and coordination during dissemination meetings or learning sessions
Key Performance Indicators
- Timely development and dissemination of reports to program teams.
- Effective presentation and updating of KPIs on relevant dashboards.
- Delivery of insights and analytical output using new tools or formats.
- Strong articulation of findings, both in written reports and verbal presentations.
Requirements
- Bachelor’s Degree in Statistics, Data Science, or Economics
- Dashboard Design & Data Visualization Tools – Mandatory
- Proficiency or demonstrated knowledge of at least one dashboard tool – Power BI (preferred) or Tableau.
- The candidate should understand how dashboards are structured, how visuals are built, and how data flows into these tools, even if they have limited hands-on experience.
- Visual & Design Tools – Piktochart, Canva, etc
- Basic familiarity with R, or Python for data manipulation
- Proficiency in Microsoft Word, PowerPoint, and Excel
- Experience developing reports and presentations from data analysis outputs/ transforming data into insight
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