Top level Data analysis Engineer - Financial Addition at M-KOPA Nigeria - Remote in Lagos (Remote)

About the position

We are seeking a Top level Data analysis Engineer to join our team at M-KOPA. Build the data analysis structure that powers analytics-based decisions across our Financial technology operational base serving millions in Africa. The Effect - Your data pipelines and models will directly enable cross-functional teams to comprehend and expand financial addition for millions across Africa. We've already supported over 5 million clients entry over $1.5 billion in credit. It's your chance to shape how data leads decisions that literally transform lives across an entire continent.

The Avenue:

• Purpose-led data analysis: Every dataset you model aids teams measure and expand financial addition for under-banked populations
• Worldwide acknowledgment: Join a organisation named by TIME 100 as one of the world's most powerful and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022-2025)
• Scale hurdles: Build data analysis structure processing data for millions across various African markets
• Ecological consequence: We're carbon-negative, possessing displaced over 2 million tonnes of emissions

What You'll Do

You'll own data analysis data collections and pipelines for specific product domains with real-world effect. Our data analysis engineers possess full autonomy to lead the data analysis direction for their zones – from defining achievement indicators to building self-serve capabilities. Join us in joining cutting-edge data engineering deliberately-driven data analysis.

Technical Environment:

• Modern Data analysis Stack: SQL and Python in dbt on Airflow structure
• Data Warehouse Architecture: Dimensional data modelling for big data infrastructures - Modern distributed data warehouse initiatives (Databricks expertise a plus)
• BI & Semantic Layer: Looker for semantic models and self-serve data analysis
• Orchestration: Airflow for pipeline automatic control and planning

What You Need:

We anticipate you to be cozy owning data analysis structure comprehensive, from defining performance indicators with cross-operational associates to building generation pipelines. You'll value clean dimensional modelling, embrace running test and recordkeeping as first-order matters, and enjoy mentoring others on self-serve data analysis.

Necessary Expertise

• Dimensional data modelling for data analysis / data warehouses / big data infrastructures
• Strong capability in SQL (any dialect)
• Programming in Python, Java or other language
• Strong insight of data warehouse technical solutions
• Practical with BI resources which includes Looker or Tableau
• Track document using transformation resources which includes dbt
• Practical expertise with orchestration operational structures which includes Airflow
• Clear expression competencies with verified ability to clarify technical notions to non-technical target groups

Incentive Expertise:

Databricks execution or migration expertise Buyer-facing product data analysis profile.

Site & Perks

• Fully remote position within UTC -1 to UTC +3 time zones
• Collaborate with cross-functional teams across UK, Europe, and Africa
• Career advancement programs and mentoring strategic collaborations
• Family-friendly rules and adaptable operating structured
• Well-being assist and advancement avenues.