Senior Analytics Engineer at M-KOPA

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.