Analytics Engineer - Business Strategy & Insights
Spotify(3 months ago)
About this role
An Analytics Engineer responsible for shaping the analytics data layer that powers Spotify’s Data Science environment. The role focuses on building robust, scalable data models and pipelines over large, heterogeneous datasets. It sits within a collaborative group of analytics and data engineers, working closely with data scientists and product teams to create clean data contracts and standardized metrics. The position is based in either New York City or Stockholm with flexibility to work from home.
Required Skills
- SQL Development
- Python Programming
- Analytics Engineering
- Data Modeling
- ETL Design
- ELT Pipelines
- BigQuery
- dbt
- Data Warehousing
- Data Lakehouse
+19 more
About Spotify
spotifyjobs.comSpotify is a global audio streaming platform that gives users access to millions of songs, podcasts, and other audio content across devices. It offers both ad-supported and subscription-based premium tiers, personalized discovery and recommendation features, and creator tools for artists and podcasters to publish and monetize their work. As a technology company, Spotify builds machine learning-driven personalization, analytics, and ad-tech to power listening experiences and advertising solutions worldwide. The company emphasizes inclusive culture and hires across product, engineering, data, content, and business roles.