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

WHATS 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 1.67 days per month
• Annual Learning and Development Fund – You have an annual $ 1,200 allowance to spend on learning and development (that is, between 1 January and 31 December). For your first year at M-KOPA, this allowance is pro-rated depending on the month that you start
• Home Office Set Up – Having the best IT equipment tools in the world doesn’t make sense if you do not have a proper setup to work with. For this reason, M-KOPA will pre-approve the following items for a total budget of $1000 that you can use at any time after signing the offer letter with M-KOPA
• On site retreats with wider tech team, plus trips to operational markets