Analytics Engineer Team Leader Job at M-KOPA

M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.

We are recruiting to fill the position below:

Jobn Position: Analytics Engineer Team Leader

Job Locations: Lagos
Job type: Full-time
Department: Technology

Job Description

• Are you looking for an opportunity to work in a company where progress and humility are valued as highly as technical excellence? At M-KOPA we use the latest technologies and architectures to build fantastic customer experiences with a socially and environmentally conscious mission that echoes throughout the organization.
• We are looking for a Senior Analytics Engineer with that managerial experience to join our Analytics department.
• This is a Senior Team Leading role reporting directly to the Head of Analytics.

Team Focused

• Leading a small 3 or 4 person team role focused on Dimensional Data modelling, Data Engineering, Business and Product Optimization, Cloud Platform Utilization and Data Management.
• Tools could include, SQL, Python, Power BI, Looker, Tableau, dbt, and airflow, all Cloud based.
• Your team will collaborate primarily with cross-functional product teams with some additional internal business units to gather requirements, understand business needs, and deliver data-driven recommendations.
• Often simplifying very complex and unstructured data into answers, testing hypotheses and delivering insights. This is a low ego creative environment where careers can thrive.

Work - Life Balance

• This is a remote role in a team that spans from the UK, through Europe to Africa. Work in a similar distributed environment would be ideal.

Background

• If you have a background working in FinTech B2C environments where big data is leveraged for products and projects and you are comfortable building and managing large data sets then this might be the right place for you.
• Alternatively a background in consumer based high volume environments like, Travel, eCommerce, Delivery or Mobility could be useful.