
Data & Capability Advisor at World Vision Kenya
- Kenya
- Permanent
- Full-time
- The DMEAL Data and Capability Advisor strengthens data literacy and analytical capacity across Regional and Field Offices to advance evidence-based decision-making. The role supports the implementation of World Vision's Impact Measurement Framework by delivering practical training, tools, and technical guidance. It fosters a culture of learning and adaptive management by equipping field teams to interpret and apply impact data for improved program design, strategic adaptation, and results reporting, ultimately enhancing child well-being outcomes.
- Design and deliver training programs and tools to improve DMEAL staff capabilities in data interpretation, visualization, and use.
- Support Regional and Field Offices to analyze, interpret, and apply data from the Impact Measurement Framework.
- Develop practical guidance and resources to support field teams in integrating evidence into planning and reporting.
- Facilitate the use of performance and impact data for adaptive programming, learning, and donor communications.
- Collaborate on refining indicators, reporting formats, and user-friendly dashboards for diverse stakeholders.
- Bachelor's or advanced degree in international development, statistics, data science, monitoring and evaluation, or a related field.
- Minimum 5-7 years of experience in DMEAL, data interpretation, or capacity building in an international development or humanitarian context.
- Demonstrated ability to translate technical concepts into practical tools and trainings for diverse audiences.
- Fluent in English.
- Willingness to travel internationally up to 25% of the time, including to fragile contexts.
- Standard office-based role with field travel; must be able to manage virtual training delivery and variable work hours across time zones.
- Experience working directly with Field Office or Regional Office staff on data use and capacity development.
- Familiarity with World Vision's Impact Measurement Framework and DMEAL Framework and supporting systems.
- Strong skills in data visualization, interpretation, and communication for non-technical audiences.
- Proficiency in relevant data platforms (e.g., Power BI, Tableau, Excel) and familiarity with digital learning tools.
- Demonstrated success in enabling adaptive programming and facilitating learning in cross-cultural contexts.
- Proficiency in French or Spanish preferred.
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