M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go �PayGo� solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
Description
- Are you looking for an opportunity to work in a company where progress and humility are valued as highly as technical excellence? At M-KOPA we use the latest technologies and architectures to build fantastic customer experiences with a socially and environmentally conscious mission that echoes throughout the organization.
- We are looking for a Senior Analytics Engineer to join our Analytics department.
Team Focused
- You will be working in a small 3 or 4 person team role focused on Dimensional Data modelling, Data Engineering, Business and Product Optimization, Cloud Platform Utilization and Data Management.
- You will collaborate primarily with cross-functional product teams with some additional internal business units to gather requirements, understand business needs, and deliver data-driven recommendations.
- This is a low ego creative environment where careers can thrive.
More About the Role
- Your day-to-day work will include building easy to understand and consistently modelled datasets to serve metrics, dashboards and exploratory analysis; including building data transformation pipelines, primarily by using SQL and Python in dbt, and Airflow infrastructure.
- We also develop semantic models in Looker, build dashboards and coach users on how to use self-serve capabilities of our platform.
- You will be working together with software engineers to ensure that the data necessary for analysis is captured well in our systems.
- For us applying best practices is important in order to build reliable, well tested, efficient, documented data assets.
Requirements
- Strong experience with Python or other language, and SQL
- Dimensional data modelling for analytics / data warehouses / big data infrastructures
- Experience working with data warehouses technologies, and with BI tools such as Looker or Tableau
- Experience working with orchestration systems such as airflow
- Experience working with dbt will be highly beneficial
Method of Application
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