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.
Job overview
We are looking for a Senior Analytics Engineer to join our team at M-KOPA. Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa.
Responsibilities
You’ll own analytics datasets and pipelines for specific product domains with real-world impact. Our analytics engineers have full autonomy to drive the analytics direction for their areas – from defining success metrics to building self-serve capabilities. Join us in combining cutting-edge data engineering with purpose-driven analytics.
Technical Environment
- Modern Analytics Stack: SQL and Python in dbt on Airflow infrastructure
- Data Warehouse Architecture: Dimensional data modelling for big data infrastructures – Modern distributed data warehouse solutions (Databricks experience a plus)
- BI & Semantic Layer: Looker for semantic models and self-serve analytics
- Orchestration: Airflow for pipeline automation and scheduling
Our Analytics Approach
As a Senior Analytics Engineer, you will work as a collaborative partner. Working in a matrix organisation with 12 Analytics Engineers and 3 Platform Engineers, you’ll build:
- Easy to understand and consistently modelled datasets
- Well-tested and documented data assets
- Self-serve capabilities and user coaching
- Best practices in data transformation pipelines
- Close collaboration with software engineers on data capture
Requirements
We expect you to be comfortable owning analytics infrastructure end-to-end, from defining key metrics with cross-functional partners to building production pipelines. You’ll value clean dimensional modelling, embrace testing and documentation as first-order concerns, and enjoy coaching others on self-serve analytics.
Required Experience:
- Dimensional data modelling for analytics / data warehouses / big data infrastructures
- High proficiency in SQL (any dialect)
- Programming in Python, Java or other language
- Deep understanding of data warehouse technologies
- Hands-on with BI tools such as Looker or Tableau
- Track record using transformation tools such as dbt
- Practical experience with orchestration systems such as Airflow
- Strong communication skills with proven ability to explain technical concepts to non-technical audiences
Bonus Experience:
- Databricks implementation or migration experience
- Consumer-facing product analytics background
Method of application
Meet the Qualifications? Apply now at M-KOPA on jobs.ashbyhq.com