Intern, Data Learning

About Evidence Action

At Evidence Action, we deliver data-driven interventions that transform lives at an unprecedented scale. We identify neglected global health issues and deploy proven solutions, forging healthier futures for generations.

Our model operationalizes leading academic research (including from Nobel-winning economists). We measure progress and outcomes at every stage to ensure we’re making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 9 countries, our team of 800+ has reached over 500 million people, working closely with governments to scale these interventions.

• Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm prevalence and generating more than $23 billion in lifetime productivity gains. 
• Through Safe Water Now, we’ve saved the lives of over 15,000 children. 
• Our Accelerator explores untapped opportunities in global health, testing low-cost interventions with the greatest potential to save and improve lives. 

At Evidence Action, your colleagues are your greatest asset. You'll partner with high-caliber colleagues in an environment blending innovation, autonomy, and teamwork. Our team excels in disruptive thinking and believes in rolling up our sleeves to get things done. If you're looking to work flexibly and with purpose, join a team that delivers measurable change for millions.

The Role

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.

• 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
• Strong analytical and report-writing skills
• Ability to work with large amounts of information and synthesize the “bigger picture”
• Creativity and an interest in visual communication and design
• Ability to work with Google Workspace (Docs, Sheets, Slides)
• Critical thinking and problem-solving skills
• Ability to work independently and meet tight deadlines
• Confidence in presenting to large audiences and facilitating discussions
• Proactive and self-driven
• Strong communication skills
• Creative, detail-oriented, and passionate about data
• Willingness to learn and adapt quickly

Working Conditions

Typical working hours are from 8.00 am to 5.00 p.m. with a one (1) hour lunch break, between 1.00 pm and 2.00 pm from Monday to Friday. Due to the nature of the work, there may be times when the intern will be required to work outside regular office hours. 

The position may require occasional travel to program areas. 

Physical Requirements

None.

Evidence Action is an Equal Opportunity Employer with a commitment to representation and inclusion. All individuals, regardless of personal characteristics, are encouraged to apply.