Provide clean, tested, well-documented and well-modelled data sets
Enable and empower data scientists and business users via tools like Snowflake and/or Looker
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 BI tool Looker
Responsible for optimisation and further adoption of Looker as a data product in the business catering to ~1500 current active users

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 (Nice to have)
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

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Senior Analytics Engineer

Key skills