Senior Analytics Engineer, M-KOPA

• 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
• 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

Desirable

• 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
• Your data pipelines and models will directly enable product teams to understand and expand financial inclusion for millions across Africa
• We've already helped over 5 million customers access over $1.5 billion in credit. It's your chance to shape how data drives decisions that literally transform lives across an entire continent
• Mission-driven analytics: Every dataset you model helps teams measure and expand financial inclusion for under-banked populations
• Global recognition: Join a company named by TIME 100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022-2025)
• Scale challenges: Build analytics infrastructure processing data for millions across multiple African markets
• Environmental impact: We're carbon-negative, having displaced over 2 million tonnes of emissions
• 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
• 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
• 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