Senior Associate, Data Learning, MLE-Delivery

Evidence Action

  • Nairobi
  • Permanent
  • Full-time
  • 26 days ago
  • Apply easily
About Evidence Actionis a global nonprofit organization with an approach distinctive in international development - we exclusively scale interventions that are backed by strong evidence and can be delivered with exceptional cost-effectiveness. Our programs have grown since our founding in 2013 to reach over 515 million people globally with our interventions. We deliver high impact for every dollar spent, as recognized by , , and .We do development differently. We take a data-driven approach to identifying, scaling, and continuously improving programs which deliver immense impact, ensuring these solutions measurably improve the lives of millions. Our has helped governments in Africa and Asia deliver over 1.8 billion childhood deworming treatments, improving health, education, and incomes. provides sustained safe water access to over 10 million people in rural Africa, preventing childhood illness and deaths.We drive innovation. Our builds the next generation of exceptional programs, taking an approach most similar to a venture capital model. We are ruthless in which do not meet our criteria; those that advance deliver outsized impact for millions of people.We are global. Across nine countries in Africa and Asia, our 700+ people are united by a tremendous passion for our mission and impact. We are strong because of our diversity of experience, geography, and background - with over 90% of our people in the countries where our impact is focused.We have big ambitions. Over the next decade, we’re setting our sights higher: We aim to reach over 600 million people globally to fulfill our vision of a world where hundreds of millions of people in the poorest places have better opportunities and their lives are measurably improved. We believe in bold and urgent action - because poverty doesn’t wait, and neither should we.We need great people. Our success to date is due to the collective work of our amazing staff. To achieve our ambitious goals, we are looking for people who share our passion for evidence, cost-effectiveness, and scale. We seek individuals who take an entrepreneurial approach, enjoy tackling hard problems, and have a bias to action and results. If our vision and approach excite you as much as it does us, we invite you to join us.About the MLE-Delivery teamThe 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.
RequirementsQualifications:
  • 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.
Working conditionsHybrid working arrangement: The official working hours are 8:00am to 5:00 pm from Monday to Friday.Position LocationThe position will be based in Nairobi, Kenya.Direct reportsOne: Associate, Data Learning, MLE-DeliveryBenefits
  • Medical Insurance
  • Pension Plan
  • Paid Time Off
Equal Opportunity StatementEvidence Action does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Evidence Action