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
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
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.
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.