Senior Analytics Engineer at M-KOPA

YOU ARE EXCITED ABOUT THIS ROLE BECAUSE YOU WILL

• Together with your cross-functional partners you will define key metrics for the product area: how do we measure success?
• You will build easy to understand and consistently modelled datasets to serve metrics, dashboards and exploratory analysis
• You will develop semantic models in Looker, build dashboards and coach users on how to use self-serve capabilities of our platform
• Working together with software engineers you will ensure that the data necessary for analysis is captured well in our systems
• You will build data transformation pipelines, primarily by using SQL and Python in dbt + Airflow infrastructure
• Throughout this process you will apply best practices to build reliable, well tested, efficient, documented data assets

WE ARE EXCITED ABOUT YOU BECAUSE YOU HAVE EXPERIENCE IN

• You'll have experience working in the following area dimensional data modelling for analytics / data warehouses / big data infrastructures
• High proficiency in SQL (any dialect)
• Experience programming in Python, Java or another language
• 5+ years experience working with SQL
• 3+ years working with data warehouses technologies
• 3+ years experience working with BI tools such as Looker or Tableau
• 2+ years experience working with a transformation tool such as dbt
• Experience working with orchestration systems such as airflow
• Technical degree is plus, but not a must