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  • Posted: Apr 2, 2024
    Deadline: Not specified
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    Evidence Action scales proven interventions that improve the lives of millions. We only implement cost-effective programs whose efficacy is backed by substantial rigorous evidence. We identify innovative, appropriate financing mechanisms and build best-practice operational models. We voraciously self-evaluate, learn, and improve our models for scaling effect...
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    Senior Associate, Data Learning, MLE-Delivery

    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. 

    Method of Application

    Interested and qualified? Go to Evidence Action on jobs.workable.com to apply

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