provide clean, tested, well-documented and well-modelled data sets to enable and empower data scientists and business users
work with product engineering teams to ensure modelling of source data meets downstream requirements
maintain and develop SQL data transformation scripts
advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets
work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker
responsible for optimisation and further adoption of Looker as a data product in the business

6+ years experience within the field of Analytics Engineering, BI Engineering or Data Engineering
Excellent SQL skills
Understanding of data warehousing, data modelling concepts and structuring new data tables
Knowledge of cloud-based MPP data warehousing (e.g. Snowflake, BigQuery, Redshift)
Experience within the Ads domain
2+ years experience developing in a BI tool (Looker or similar)
Good practical understanding of version control
SQL ETL/ELT knowledge, experience with DAGs to manage script dependencies
Python coding skills, particularly in automation & integrations
Knowledge of the Looker API

multiple great benefits in areas including health, family, finance, community, convenience, growth and relocation

Senior Analytics Engineer

Key skills