Spotify - Analytics Engineer
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• 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. • Where You'll Be • This role is based in New York, NY. • 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. • The United States base range for this position is $116,994 - $167,135 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
Responsibilities
• 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.
No credit card. Takes 10 seconds.