Categories
IT and Telecoms

Senior Analytics Engineer (Remote) at M-KOPA Nigeria

The scale and impact of our work is massive. 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:

Job Title: Senior Analytics Engineer

Location: Lagos (Remote)
Category: Technology – Analytics
Job Type: Full time

Job Summary

  • As a Senior Analytics Engineer, you will manage analytics models for a specific technology domain. With your passion in analytics and engineering, you will be supporting team members by delivering high-performance exportable datasets.
  • Your work will range from standard BI models – how many devices did we sell, to how we can use metrics to understand and improve the sale process.
  • You will apply Analytics Engineering best practice to build reliable, well tested, documented data models in dbt and Looker to promote self-serve analytics in your domain.

You’re Excited About this Opportunity Because You Will

  • Supporting the team by providing technical leadership on data modelling in dbt and Looker
  • Managing a specific domain teams (or a group of teams) analytics models
  • Demonstrating best practices and increase the highest use opportunities to improve data processes, whether at data load or with data model redesign
  • Working closely with our Product and Backend Engineers team to provide clean, timely, reliable datasets
  • You’ll enjoy low ego environment and cohesive team spirit
  • Taking ownership of your work, partnering with cross functional peers to ensure projects success
  • You are naturally data curious, excited by data stack architecture and motivated by having an impact on the business

We’re excited about you because you have experience with:

  • Have strong experience working with relational data models
  • Have experience working with tools such as dbt, Looker, Airflow or similar
  • Are experienced working with modern data warehouses and querying on them
  • Have experience coding with Python and SQL
  • Comfortable with software best practices (version control/git, Agile, testing, automated release pipelines, CI/CD processes, logging, observability etc.)
  • Familiar with an event-based architecture

Current Stack:

  • Dbt for Transformation
  • Looker for visualisation
  • Spark / Data Factory / Event Hub / Airflow for ingestion
  • Airflow / AKS for orchestration
  • Microsoft Azure as our base cloud provider
  • The stack is managed by the analytics platform team who you’ll work with.

What’s in it For You

  • Private health insurance (inpatient outpatient, maternity, eye care, dental and gym facilities)
  • Group Life Cover and Personal Accident Cover
  • Company pension (A mandatory basic national social security scheme)
  • Remote working (dependent on the nature of the role)
  • Airtime allowance (dependent on the nature of the role)
  • MIFI monthly payment for remote workers
  • 20 days per annum (excluding public holidays). Annual leave is accrued at the standard rate of 1.75 days per month
  • Yearly learning budget for Tech of $1,250 + 5 paid learning days
  • Home office allowance $1,000 first year, $500 each year thereafter
  • Our other country benefits can be found here M-KOPA Employee Benefits & Perks
  • We off the opportunity to work in many countries and have teams all over Europe & Africa.

Method of Application
Interested and qualified candidates should:
Click here to apply online

Note: It is a fully remote role, within the following time zone (UTC -1 / UTC+3). You will report to the Head of Engineering Analytics working in the Analytics Team – this role will collaborate with Tech, Product and Business Leads.

Leave a Reply

Your email address will not be published. Required fields are marked *