UWS Nepal Vacancy for Senior Global MEAL Associate

 

Location: Kathmandu, Nepal or Antananarivo/Toliara, Madagascar  

Help us turn data into insight, and insight into impact. 

This is an exciting time to join UWS. 

As we roll out our ambitious 2030 Programme Strategy, we're strengthening how we measure and demonstrate impact across Cambodia, Madagascar, Myanmar and Nepal. Our MEAL team ensures high-quality data drives learning, decision-making and programme improvement. 

We're looking for a talented and driven Senior Global MEAL Associate to join our global team and help advance our monitoring, evaluation, accountability and learning systems. 

About the role 

This is a fantastic opportunity for someone who loves working with data and wants to use their skills to create meaningful change. 

Working with colleagues across four countries, you'll strengthen data systems, improve data quality, analyse performance and develop clear dashboards, visualisations and reports that help turn evidence into action. 

Data collection platforms, analysis, data visualisation and reporting are at the core of this role. We're looking for someone who can turn complex data into clear, accessible insights that support better decisions. 

We’re looking for someone with: 

• Strong skills in data analysis, reporting and visualisation. 

• Confidence using tools such as Excel, Power BI and data collection platforms. 

• The ability to turn complex data into clear, practical insights. 

• A collaborative, organised and detail-oriented approach. 

• A commitment to evidence-led programmes that create meaningful change. 

Why join UWS? 

You'll join a supportive global team working towards Zero Education Poverty, helping shape how UWS measures and demonstrates impact across our programmes. 

Most importantly, your work will directly contribute to improving programmes and expanding educational opportunities for children in some of the world's most marginalised communities. 

How to apply 

Please submit: 

Your CV 

A cover letter (maximum two pages) outlining your suitability for the role 

We also encourage candidates to share an example of previous work showing their skills in data analysis, reporting or data visualisation, such as a dashboard, report extract, slide or anonymised sample. 

For full details and how to apply, please see the Job Pack and application link below. We may close applications early if we receive enough suitable applications. 

The detailed Job Pack of the role can be accessed here: https://shorturl.at/urnpK
Apply Here: https://shorturl.at/cg0jN