Job Description
The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale.
The Music Mission enables creators to grow, engage, and monetize their fan bases on Spotify. At the heart of that mission is a suite of products including Discovery Mode, Marquee, Showcase, Music Videos, Clips, Listening Parties, and Concert Listings that help artists and their teams connect with listeners, grow audiences, and build sustainable careers.
We’re looking for an Analytics Engineer to help shape how the Music Mission measures success. You’ll build the data foundations, measurement frameworks, and analytics products that transform complex datasets into actionable insights. Working closely with engineers, data scientists, product managers, and business stakeholders, you’ll help ensure teams can make confident, data-informed decisions that improve the experience for creators and fans around the world.
What You’ll Do
- 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.
Who You Are
- 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.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
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
