Senior Analytics Engineer – Financial Inclustion at Scale Job M-KOPA Solar

  • Kenya
  • Permanent
  • Full-time
  • 4 days ago
» Senior Analytics Engineer – Financial Inclustion at Scale Job M-KOPA SolarIT Jobs, M-KOPA Solar Jobs.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.The Impact – 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 continentThe Opportunity
  • 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
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
Our Analytics ApproachAs 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
What You NeedWe 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
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