Monitoring, Evaluation, Research and Learning Data Manager
AI summary
Equity Bank Kenya is hiring a Monitoring, Evaluation, Research and Learning (MERL) Data Manager to support the Food & Agriculture Pillar. The role involves designing and managing MERL systems, digital data collection, dashboards, and business intelligence solutions to generate evidence for programme implementation, donor accountability, and organizational learning. The position is based in Nairobi and requires strong data management, analytics, and stakeholder collaboration skills.
- Senior MERL data management role within the Food & Agriculture Pillar
- Requires 10+ years of monitoring, evaluation, research, and learning experience
- Involves digital data systems, dashboards, GIS, and business intelligence tools
- Based in Nairobi, Kenya with full-time employment
AI job guide
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AI salary guide
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Can you qualify for this role?
- Required10+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in security, cleaning, internshipThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in NairobiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Monitoring, Evaluation, Research and Learning Data Manager evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Equity Bank Kenya and the role in Nairobi.
- Add concrete examples related to security, cleaning, internship, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobWeb Kenya; avoid sending documents to unofficial contacts or copied links.
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- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
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- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Monitoring, Evaluation, Research and Learning Data Manager role in security, cleaning?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Nairobi under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Equity Bank Kenya before the interview.
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Original source description
Role Purpose:
The Monitoring, Evaluation, Research and Learning (MERL) Data Manager will support the design, implementation and continuous improvement of monitoring, evaluation, research, learning and data management for the Food & Agriculture (F&A) Pillar. The role will ensure that pillar data are efficiently collected, managed, analysed, visualized and reported to generate timely, high-quality evidence for programmes implementation, adaptive management, donor accountability and organizational learning.
The MERL Data Manager will strengthen the Pillars’ digital data and information management ecosystem by supporting the development, administration, integration with existing digital data collection and management platforms and business intelligence solutions. The role will support end-to-end data management processes, including data collection, validation, storage, integration, analysis, visualization and reporting while promoting automation, interoperability, data quality, and data security to improve programmes performance and operational efficiency.
Working collaboratively with pillar teams, IT teams, implementing partners, donors and other stakeholders, the MERL Data Manager will provide technical support in monitoring, evaluation, research, learning, digital information systems, and knowledge management. The role will contribute to strengthening evidence generation and the integration of cross-cutting priorities into programmes monitoring systems.
Key
Responsibilities
- Support the design, implementation and continuous improvement of Monitoring, Evaluation, Research and Learning (MERL) systems for the Food & Agriculture (F&A) Pillar.
- Develop digital data collection and administer programme databases including on DMIS platform to support efficient programme monitoring, reporting, and performance tracking.
- Coordinate the collection, validation, cleaning, integration, storage, analysis, visualization, and reporting of programme data, ensuring accuracy, completeness, and timeliness.
- Develop and maintain interactive dashboards, automated reports, and business intelligence solutions that provide real-time programme performance insights and support evidence-based decision-making.
- Provide technical support for baseline, midline, endline, outcome, and impact assessments, including data management, statistical analysis and dissemination of findings.
- Document and disseminate data best practices, innovations, and knowledge products to strengthen organizational learning and adaptive programme management.
- Build the capacity of programme teams and implementing partners in MERL methodologies, digital data systems, data analytics, reporting, and the use of business intelligence tools.
- Collaborate with internal and external stakeholders to strengthen digital MERL systems and support programme design, implementation, reporting, evaluation and continuous improvement for the F&A Pillar.
- Support development and maintaining of GIS-enabled datasets, maps and spatial analyses to support programme planning, beneficiary mapping, environmental monitoring and impact assessment.
- Stay abreast of emerging MERL methodologies, Artificial Intelligence (AI), digital technologies and data analytics best practices and recommend innovations that enhance data management, reporting efficiency, evidence generation and programme performance.
- Qualifications
- Academic Qualifications and Certifications:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Monitoring and Evaluation, Agricultural Economics, Environmental Science, Social Sciences or a related field. A Masters’ Degree will be an added advantage.
- Professional certification in Monitoring & Evaluation, Results-Based Management (RBM), Data Analytics, GIS for spatial analysis, Business Intelligence (e.g Power BI/Tableau), Database Management, or Project Management (PMP/PRINCE2) will be an added advantage.
Experience
- in monitoring, evaluation, research, learning, data management, business intelligence or programme analytics within the development, agriculture, climate, environmental or related sectors.
- Proven
- developing and managing Management Information Systems (MIS), programme databases, dashboards and automated reporting solutions.
- Strong
- in data cleaning, validation, transformation, migration, integration, and quality assurance.
- Demonstrated
- administering digital data collection platforms such as ODK, KoboToolbox, SurveyCTO, CommCare or similar technologies.
- using Power BI, Tableau, Excel Power Query, SQL, ArcGIS or similar analytical and visualization tools
- supporting donor-funded programmes through programme monitoring, data management, and results reporting.
- conducting quantitative and qualitative data analysis and translating findings into actionable programme insights.
- Knowledge of statistical software such as SPSS, R, Python, or Stata will be an added advantage.
- in agriculture, climate resilience, natural resource management, environmental conservation, renewable energy, or rural development programmes will be an added advantage.
- Key Technical skills and leadership competencies:
- Strong analytical and data interpretation skills
- Proficiency in MERL tools, methodologies and technologies
- Results-oriented with strong attention to detail
- High integrity, accountability and commitment to learning
Requirements
Minimum of 10 years’