Background information about the job or company (e.g., role context, company overview)

Jhpiego, an affiliate of Johns Hopkins University is implementing The Challenge Initiative (TCI), a project funded by Bill and Melinda Gates Foundation (BMGF) through The Bill & Melinda Gates Institute for Population and Reproductive Health (GI), Department of Population, Family & Reproductive Health at the Johns Hopkins Bloomberg School of Public He...

Responsibilities or duties

As a M&E Assistant – you’ll be part of our Monitoring, Evaluation, and Learning (MEL) team — the engine that powers smarter programming. You’ll turn data into stories, dashboards into action plans, and help teams across Kenya learn and adapt in real time.

You’ll work alongside technical and programmatic teams to ensure high-quality data is collected, analyzed, and used — all while exploring new tools, smarter processes, and innovative approaches to M&E. Your responsibilities will include:

• Building tools that help track how many children received vaccines — and why some didn’t.
• Creating slick dashboards that make complex data understandable and actionable.
• Supporting health care workers make sense of results they are generating at the counties.
• Helping program teams make faster, smarter decisions based on real-time insights.
• Drafting learning briefs, graphics, or one-pagers that tell a compelling story with data.
• Attending county review meetings and hearing what frontline health workers really need.
• Test new tools, explore digital platforms, and find better ways to connect the dots.

Qualifications or requirements (e.g., education, skills)

If you’re the right fit:

• You’ve got a bachelor’s degree in M&E, public health, statistics, health informatics, demography or a related field.
• You’re early in your career with a minimum of 3 years’ experience but already itching to make impact.
• You’re a learner and self-starter, eager to try new tools and approaches, but open to learning different ways of doing things.
• You’re familiar with data systems, e.g., DHIS2, DATIM.
• You’re familiar with digital data collection tools (e.g., ODK, Kobo, SurveyCTO, etc.) and data analysis (e.g., R, STATA, SPSS).
• You’re not afraid of data — but you also love what it can do when shared clearly.
• You’re a data storyteller — you’re not just about numbers, but what they mean.
• You have excellent writing and visualization skills — you can make data make sense (e.g., using Power BI, Tableau).
• You believe health data should serve real people, not just reports.
• You’re organized but flexible, analytical but creative, and detail-oriented but people-aware and able to see the bigger picture. a collaborator, with strong interpersonal skills across cultures and roles.
• A Kenyan national who brings lived experience and local insight to the work and is committed to advancing innovation in local health systems.

• Building tools that help track how many children received vaccines — and why some didn’t.
• Creating slick dashboards that make complex data understandable and actionable.
• Supporting health care workers make sense of results they are generating at the counties.
• Helping program teams make faster, smarter decisions based on real-time insights.
• Drafting learning briefs, graphics, or one-pagers that tell a compelling story with data.
• Attending county review meetings and hearing what frontline health workers really need.
• Test new tools, explore digital platforms, and find better ways to connect the dots.

• Data analysis
• Data visualization
• Writing
• Interpersonal skills
• Collaboration
• Flexibility
• Creativity
• Detail-oriented
• People-aware
• Ability to see the bigger picture
• Familiarity with data systems (e.g., DHIS2, DATIM)
• Familiarity with digital data collection tools (e.g., ODK, Kobo, SurveyCTO, etc.)
• Familiarity with data analysis tools (e.g., R, STATA, SPSS)
• Proficiency in data visualization tools (e.g., Power BI, Tableau)

• Bachelor’s degree in M&E, public health, statistics, health informatics, demography or a related field.
• Minimum of 3 years’ experience.
• Learner and self-starter.
• Familiar with data systems, e.g., DHIS2, DATIM.
• Familiar with digital data collection tools (e.g., ODK, Kobo, SurveyCTO, etc.) and data analysis (e.g., R, STATA, SPSS).
• Excellent writing and visualization skills (e.g., using Power BI, Tableau).
• Kenyan national.