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
Apply via :
jobs.lever.co
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