What You’ll Do

• Perform analyses on large sets of data to extract useful insights that will drive decisions, with a particular focus on artist and release performances
• Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling
• Craft high impact presentations for senior management on the Music Partnerships teams
• Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward
• Analyze AB-tests and form hypotheses for product improvements in how content reaches listeners
• Model statistical predictions to surface growing artists, genres and music trends, so as to advise resource allocation in and around Spotify’s Music organization

Who You Are

• You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable
• 2+ years (5+ years for senior role) of proven experience analyzing complex data with SQL, Python, and/or R
• You are passionate about music and digital content trends in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued
• You are an effective communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights.
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)
• Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus
• Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus

Where You’ll Be

• We’ve introduced Work From Anywhere to give you more options!
• While we will ask you to pop into the office from time to time, we are giving you the flexibility to work from home should you choose to do so.
• Working hours? We operate within the EST time zone for collaboration.