Data Learning – MLE Intern
Project Detail
Duties And Responsibilities
The Intern – Data Learning – MLE will have the following responsibilities:
- Create periodic high-quality written and visual reports and presentations for program teams and donor reporting.
- The position holder will be primarily charged with supporting the reporting function for the Deworm the World Initiative.
- Translate analytical output into useful insights for decision-making.
- Provide support during training and mentorships of MLE field teams, in preparation for the routine bi-monthly report dissemination with programs.
- Explore new and innovative analytical and visualization tools and avenues to showcase MLE work.
- Routinely attend meetings within MLE and across various programs as required.
- Support in the writing of a quarterly MLE newsletter.
- Identify innovative methods or tools for conducting MLE work & pilot these innovations.
Key Performance Indicators
- Timely report development and dissemination to the program.
- Periodic delivery of analytical output in new areas/with new tools.
- Fluency in the articulation of findings both orally and in written form through reports, and visuals.
Requirements
- Education: Bachelor’s Degree in Data Analytics, Statistics, Data Journalism, Maths or Economics
- Specialized knowledge: Working knowledge of at least one data and image visualization software – Tableau/PowerBI, Piktochart, Canva, Adobe Photoshop, or GIMP.
- Working knowledge of mapping software. Either ArcGIS or QGIS.
- Essential skills: Ability to work with Microsoft Word, PowerPoint and Excel.
- Experience in developing reports and presentations from data analysis output/ transforming data into insight.
- We are looking for an exceptional report writer.
- Abilities: Excellent report writing skills, ability to work with large amounts of information and see the ‘bigger picture’; critical thinking: ability to look at numbers, trends and data and come to new conclusions based on findings, excellent writing skills; creativity or passion for design.
- Characteristics: Pro-active; Strong communication skills; Creative/Thinking out of the box, Eye for detail and love for data.
- Must be confident when making presentations to a large audience and facilitating meetings.
- Proven work experience in data analytics or data visualization.
- Proven ability to work with tight timelines.
To apply for this role visit:Data Learning Intern