About The MLE-Delivery Team

• The Data Learning team is part of the larger Monitoring, Learning and Evaluation (MLE-Delivery team) within Evidence Action.
• The MLE-Delivery team is an internal consulting team that provides timely access to data for evidence-based decision-making through well-designed monitoring and analysis. The Data Learning team helps translate and conceptualize data into clear and useful written or visual outputs to support program teams in evidence-based decision-making. The team also plays a key role in communication with the program teams and in overseeing the MLE knowledge management systems.

Key responsibilities:

Accountability:

• Full understanding of program needs for data and translating that back to the MLE team, including developing tools that enable clear and effective information gathering.
• Identifying, prioritizing, and communicating program team requests to the MLE team.
• Seeking out, prioritizing, and communicating requests from programs teams to the MLE team.

Ensure effective information flow and communication of lessons learned from MLE to programs:

• Writing and editing reports and presentations with a keen eye for how the information should be phrased based on the viewpoint of the target audiences (i.e. data visualization software, infographics, etc.)
• Collecting and organizing/curating information from various sources (i.e. existing program (primary) research, external (secondary) research, new analyses, management information systems, etc.) to help programs in making decisions.
• Participate in the development of informative and eye-catching infographics; that aid in guiding data driven decision making.
• Maintain control over all MLE dashboards by communicating with dashboard developers to guarantee the best aesthetics and the most up-to-date data are reflected.
• Empowering the MLE field team officers to make quality presentations during bi-monthly meetings with programs.
• Extracting learnings from analysis and research products that enable program teams to make evidence-based decisions.
• Routinely attend meetings within MLE and across various programs as required.

Team Management:

• Managing productivity, professional development, skill building, and managing at least one Associate, Data Learning.
• Contribute to the accomplishment of the data learning work plans.

Requirements

Qualifications:

• Bachelor’s degree in a data-oriented discipline (i.e. Statistics, Data Science, Economics, Data-journalism, or related fields). Post graduate degree will be an added advantage.
• A minimum of 4 years of work experience generating high quality, clear, thought leadership reports and managing communications within organizations and to partners and external audiences.
• Experience in developing reports and presentations from data analysis output, transforming data into insights through working with large amounts of data/information and seeing the ‘bigger picture’.
• Proven work experience with data visualization tools such as Power BI, Tableau for interactive dashboards and reporting.
• Experience developing infographics using tools/software such as Piktochart, Canva, Snappa, Adobe Illustrator/Photoshop etc.)
• Working knowledge of mapping software. Either R/R Shiny, ArcGIS, or QGIS.
• Personal characteristics: proactive; strong communication skills; creative/thinking out of the box; an eye for detail; and love for data.