M&E Lead / Data Scientist

Operations · Global, global
Department Operations
Employment Type Full-Time
Minimum Experience Experienced

 

Triggerise creates impact by applying tech to non-profit. Are you that special person that brings us the best of both worlds? We are looking for an M&E lead/Data Scientist that can help us to not just monitor and evaluate, but also predict and steer on data. 


The Company
We are a fast-growing non-profit social enterprise with offices in the Netherlands, Portugal, India, Kenya, South Africa and Ethiopia. Triggerise builds digital platforms that motivate users - primarily young women and adolescent girls - to make positive choices. We work together with local communities and use nudges like reminders, discounts and reward points to encourage our users to access and use health products and services. We also support our users in becoming entrepreneurs and adding value to their economies.


The Nairobi office is the biggest of Triggerise’s offices, with about 25 colleagues based there and more colleagues working from home, implementing our projects throughout Kenya. Our brand new office is located in Spring Valley, Nairobi Garage. We are also very flexible when it comes to working from home! Our people are young and our culture is global and dynamic. Our work environment is flexible, informal, and fast-paced. Ideally, this role is based in Nairobi, but we are willing to consider great candidates from anywhere!


The Job

Our digital platforms generate an impressive amount of data, informing us about people’s behaviour, associating behavioural nudges and financial incentives and allowing for cross-sectoral analysis. You turn that data into insights and predictions that help us to steer on impact and that start informing us on larger strategic choices we need to make. You also work closely with our donors to make sure our programs are monitored and evaluated properly.

Main responsibilities

  • With the help of our Data Team, you make sure we get the right insights out of our data
  • You set up and execute (mainly quantitative) research projects as needed and turn your findings into clear recommendations. predictions and reports for the organization
  • You work with program managers and donors to make sure we set and meet the right evaluation criteria. 


About you

You are a strategist that doesn’t mind getting their hands dirty. This is a new role and we are looking for someone that can independently identify our needs and then build and execute processes and systems that set us up for future growth. You are detail-oriented and can analyze and spot trends within data. You are also able to translate them into real-world explanations and have the capacity to build good interpersonal relations that help you implement your findings.

Requirements

  • You have a Master’s degree in economics, data science or another quantitative research field
  • Our ideal candidate has solid experience in both the M&E field and as a Data Scientist. We are also considering candidates that have at least 5 years of experience in one field and that can prove affinity/knowledge in the other. 
  • You have experience in quantitative research and can work with Stata and/or SPSS. R or similar is a plus. 
  • Experience with data manipulation, graphic data presentation, data collection, predictive modelling
  • Experience in qualitative research is a plus
  • Experience designing evaluation studies and tools.
  • You are fluent in English  


The rewards
In return for your hard work and dedication, we offer you:


  • A competitive salary and good secondary benefits 
  • A personal development budget
  • Unlimited holidays, if you can make it work with your team you’re good to go
  • Growth opportunities
  • A company to help shape as we grow, to leave your mark on how we do things
  • A vision that we trust that you will do your job without us having to invent unnecessary rules and regulations. 



The details 
Interested? Click apply now below! Want more information? Check out our website or contact our Global Recruiter. We only accept applications through the apply links, not by email. 

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  • Location
    Global, global
  • Department
    Operations
  • Employment Type
    Full-Time
  • Minimum Experience
    Experienced