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.

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