April 13, 2021

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Analytics Engineer

Model – Analyze - Visualize
Nairobi, Kenya

CarePay is a data-driven company operating in Kenya, Nigeria, Tanzania and with headquarters located in Amsterdam. CarePay has developed a mobile health benefit platform, branded M-TIBA in Kenya, that has the potential to fundamentally change healthcare. The platform digitally connects patients, health payers (e.g. insurers, governments) and healthcare providers to one platform. We believe that through mobile technology everyone can be connected to health insurance against very low marginal costs. Our platform enables people to access health insurance schemes and pay for healthcare efficiently and transparently via a user-friendly health wallet on their mobile phone. Using our digital platform leads to reduced costs, creates huge data value, and enhances transparency and accountability.

So far, we have enrolled over 4.7 million people and have connected more than 3,000 healthcare providers. Since the start, CarePay has gained international traction. In 2017, CarePay won the FT/IFC Transformational Business Award and in 2018 CarePay was recognized as Technology Pioneer by the World Economic Forum. In 2019, CarePay won the Swiss Re Entrepreneurs for Resilience Award. In 2020 CarePay was selected as one of the pioneering use cases on Europe’s GAIA-X cloud platform and has been listed together with Safaricom in Fortune’s Change the World top 10, alongside companies like Zoom and Alibaba.

In April 2019, CarePay International raised $45 million in a Series A financing round to facilitate the expansion to other countries.

Main purpose of the job

You will be working with a team of 8 data engineers, analysts, and scientists to help the organization become more data driven. We are aiming to measure impact of 80% of all features developed by end of year and you will be key to enable the teams doing this.

Your Responsibilities

  • Establish, build and maintain data models to speed up analytics solution building
  • Work with platform teams to better understand, model and visualize platform capabilities
  • Write production-quality ELT code with an eye towards performance and maintainability
  • Explore new data sources and making them usable for the organization
  • Support business users to get the insights they are looking for from the data

You should apply if  

  • You have strong SQL skills and are familiar with data visualization and general data warehousing concepts
  • You are happiest exploring, modelling and communicating data and go all the way to provide its full value to the organization
  • You are comfortable exploring ambiguous problem statements, multi-tasking between various work streams and learning on the job
  • You are passionate about global development and healthcare
  • You are a team player and can translate between tech and business easily

Nice to haves  

  • You have experience in programming in Python or Java
  • You have experience in using Airflow, dbt, or similar
  • You have public cloud experience, Amazon AWS is preferable
  • You have experience in developing software as part of a team with git

What we offer  

  • The opportunity to work on projects with high social impact that affect millions of people
  • Startup culture with a fun international team (Nairobi, Lagos, Amsterdam), flat hierarchies, and zoom beers
  • A mature data team with senior engineers and scientists aiming to make health financing decisions more data-driven
  • A state-of-the-art tech stack built on AWS, Airflow, dbt, Snowflake and Metabase with python for our data science and Java for our application code
  • Travel opportunities (after COVID-19)
  • Competitive salary and flexible hours

Application form

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