M-KOPA is the pioneer and global leader of Connected Asset Financing that offers millions of underbanked customers access to life-enhancing products. Our advanced connected asset financing platform combines digital micropayments and IoT connectivity to offer access to products including solar lighting, televisions, fridges, smartphones, financial services an...
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We are looking for a Senior Analytics Engineer to join our Analytics Department; as we scale up and drive digital and financial inclusion across our markets.
As a Senior Analytics Engineer, your day-to-day work will include building easy to understand and consistently modelled datasets to serve metrics, dashboards and exploratory analysis; including building data transformation pipelines, primarily by using SQL and Python in dbt, and Airflow infrastructure.
You will collaborate primarily with cross-functional product and engineering teams with some additional internal business units to gather requirements, understand business needs, and deliver data-driven recommendations.
For us applying best practices is important in order to build reliable, well tested, efficient, documented data assets.
Expertise
Our expectation is that you have extensive experience with Python, Java and proficiency in SQL. Additionally, working with data warehouse technologies, and with BI tools such as Looker or Tableau and dimensional data modelling for analytics / big data infrastructures would make you an ideal candidate for the role.
Experience working with orchestration systems such as airflow working with dbt will equally be essential for this role.
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