Analytics Engineer • Mid-Level

Who you are

You have a strong background in data analytics, with experience in SQL and Python — you've worked on building data infrastructure and have a keen understanding of user behavior and data-driven decision-making. Your analytical skills allow you to identify user friction points and measure conversions effectively, ensuring a seamless user experience.

You are proficient in data visualization tools and techniques — you can present complex data insights in a clear and actionable manner, enabling teams to make informed decisions. Your experience with ETL processes means you understand how to extract, transform, and load data efficiently, ensuring high data quality and accessibility.

What you'll do

As an Analytics Engineer II at Spotify, you will collaborate with cross-functional teams to enhance the user experience by providing insights into user behavior and account management. You will be responsible for building and maintaining data pipelines that support user access and identity management, ensuring that data is accurate and readily available for analysis.

You will analyze user data to identify friction points and optimize the onboarding experience for new users — your insights will directly impact how users interact with Spotify's services. You will also work closely with product teams to define success metrics and track performance, ensuring that the user experience continuously improves based on data-driven insights.

What we offer

Spotify offers a dynamic work environment where you can grow your skills and make a significant impact on millions of users worldwide. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals who are passionate about data and user experience. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.