Analytics Engineer – Machine Learning Platform

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We are looking for an Analytics Engineer who will help us generate data and insights about the Machine Learning Platform at Spotify.
Our mission is to speed up and expand machine learning at Spotify, and you will work together with our passionate team of engineers and product managers to help us deeply understand the current usage and experiences of machine learning throughout our company.

What You’ll Do

• Develop and maintain data pipelines using Python, SQL, GCS, and BigQuery
• Engineer new metrics and features in our data warehouse to enable access to reliable data for product insights, product development, and decision making
• Develop dashboards in Tableau and Data Studio to report on machine learning usage at Spotify and how our platform tools enable teams at Spotify
• Work with partners in product and engineering on how to measure and assess product performance; own product metrics and key performance indicators
• Dig deep into data sets including code commits, model development steps, internal survey results, the employee organization chart, and the adoption of common tooling at Spotify

Who You Are

• You have 3+ years of experience as an analytics engineer or in an adjacent data role, preferably with a degree in statistics, mathematics, computer science, engineering, economics, or another quantitative subject area
• You have a track record of taking open-ended analytics goals and translating them into production-quality solutions
• You are comfortable stepping through ETL processes and tracing data flows through complex DAGs
• You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions
• Familiarity with machine learning and machine learning product development is a strong plus
• Familiarity with Scala is a plus

Where You'll Be

• We are a distributed workforce enabling our band members to find a work mode that is best for them!
• Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
• Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located in that time zone.
• Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.

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.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.