About Nuru Analytics
Data should illuminate — not just fill reports. That is why we built Nuru Analytics.
We set up Nuru Analytics to close that gap. Not by adding more data, but by helping organizations make sense of what they already have — and building the systems and skills to keep doing it themselves after we leave.
The name Nuru means light in Swahili. We believe data, used well, should illuminate. It should clarify what is working, expose what is not, and point the way forward.
We work with NGOs, social enterprises, government programmes, research institutions, and private sector businesses across Kenya and East Africa. Our engagements range from designing data collection tools and monitoring frameworks, to building dashboards, running analyses, and training teams to manage data independently.
Kenya & East Africa
6
10+
Est. 2026
Our operating region
Service areas
Tools and platforms
Year established
Meet the team
Andrew holds an MSc in Applied Statistics and a BSc in Statistics from the University of Nairobi. He brings deep expertise in statistical modelling, data analysis, and monitoring and evaluation across health, development, and social sector contexts. He is a Full Member of the Statistical Society of Kenya.
Andrew Karani - Co-founder
Vincent holds a BSc in Statistics from the University of Nairobi and brings hands-on experience across the full data pipeline — from designing KPI frameworks and data collection tools to conducting qualitative and quantitative research and building dashboards. He co-founded Nuru Analytics with a focus on translating complex data processes into practical, client-ready solutions that organizations can sustain independently.
Vincent Gidoi - Co-Founder
Our Values
These are not aspirational statements. They are the principles that govern how we work with every client.
1. Honesty before impressiveness
We will tell you if we cannot help you, if your data is not good enough for the analysis you want, or if a simpler approach would serve you better than an expensive one.
2. Context over theory
Statistical best practice matters. So does understanding how fieldwork actually operates in the field, or what data literacy looks like in a community health programme. We bring both.
3. Capacity, not dependency
We measure our success partly by how little our clients need us for the same problem twice. Building internal capacity is not optional — it is built into how we work.
4. Rigour without jargon
Good analysis should be accessible to the people who need to act on it. We translate technical findings into plain language without losing the integrity of what the data says.
Want to work with us?
We are happy to have an initial conversation with no obligation. Tell us what you are working on.