Analytics Engineer – Music Creator Growth

Spotify

Analytics Engineer shaping how Spotify's Music Mission measures success through data insights and analytics. Partnering with cross-functional teams to drive performance improvements for creators and fans.

Posted 6/16/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Build and maintain scalable data models and pipelines using dbt and BigQuery.
Develop measurement frameworks, dashboards, and self-service analytics solutions that drive product decisions.
Partner with Product, Engineering, and Data Science teams to define metrics and improve how we understand product performance.
Translate business questions into reliable, well-modeled datasets and actionable insights.
Improve data quality, observability, documentation, and governance across the Music Mission.
Contribute to responsible AI practices, ensuring data and insights are trustworthy, transparent, and scalable.
Participate in a support rotation for critical datasets and analytics products.

Requirements

What you’ll need

You have experience in analytics engineering, data engineering, business intelligence, or a similar field.
You have strong SQL skills and experience building data models with dbt.
You have worked with cloud data platforms such as BigQuery, Snowflake, or Redshift.
You are comfortable using Python and modern data orchestration tools to support analytics workflows.
You understand instrumentation, data quality, and scalable measurement practices.
You have experience building dashboards and enabling self-service analytics.
You communicate clearly, collaborate effectively, and enjoy solving problems with cross-functional teams.
You are curious about AI and emerging technologies and thoughtful about how they can be applied responsibly.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

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Hard Skills & Tools

SQLdbtdata modelingdata engineeringanalytics engineeringbusiness intelligencePythondata orchestrationdashboard developmentself-service analytics

Soft Skills

clear communicationcollaborationproblem-solvingcuriositythoughtfulness