A hybrid Data Analytics role at Spotify.
Keywords this role’s ATS scans for
Sydicom tailors your CV and cover letter to match these.
How Sydicom helps: we read this listing’s requirements and tune your CV and cover letter to the keywords its ATS (Lever) is scanning for, wherever you are, then help you apply.
Original listing text, shown exactly as published by the company.
You have 2+ years of experience in analytics engineering, data engineering, or a related field
You have strong SQL skills and experience with data modelling
You are experienced with dbt (or similar SQL-based transformation frameworks) and a cloud data warehouse such as BigQuery, Snowflake, Redshift, or Databricks SQL
You are familiar with workflow orchestration tools such as Airflow, Dagster, Prefect, or Flyte
You care about data quality, reliability, and testability
You are comfortable working with BI/visualisation tools such as Looker or Tableau
You communicate clearly with both technical and non-technical partners
You are able to prioritize and deliver in a fast-moving environment
You have experience with platform or developer productivity data, experimentation, or ML/AI metrics
Where You'll Be
This role is based in London or Stockholm.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Spotify
Data Analytics
106 open roles on Sydicom
Open Source Software developed at Spotify
Source: company website
