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.

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

What You'll Do -

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