Quantitative User Researcher

The Music Mission empowers creators to grow, engage, and monetize their fan bases on Spotify. We build promotional and expression tools for artists and their teams, powered by Spotify’s deep understanding of listener behaviors. We’re looking for a passionate and data-savvy Quantitative User Researcher to join our team!

As a member of the Product Insights organization, you’ll join a multidisciplinary group of user researchers, data scientists, and analytics engineers dedicated to deepening Spotify’s understanding of creators and listeners. Positioned at the intersection of B2B and B2C research, we collaborate with product, design, data science, business, and marketing partners to create tools and experiences to support artists and their organizations in connecting with listeners worldwide.

As a Quantitative User Researcher, you will combine your expertise in behavioral analysis, experimentation, and survey science to scale our understanding of user needs, motivations, and behaviors. You’ll collaborate closely with qualitative researchers to generalize qualitative insights and support qualitative studies that deepen user understanding. You’ll work across Spotify’s creator and listener experiences to bring clarity to complex behavioral patterns and provide actionable, user-centered evidence that informs product and design decisions.

What You'll Do

  • Independently design and complete quantitative research studies, including large-scale surveys, behavioral analyses, trend analyses, and usability benchmarking that reveal how music creators & listeners behave, feel and evolve with respect to Spotify’s products.
  • Translate rich qualitative findings into representative, scalable quantitative hypotheses, and design methods to validate them at scale.
  • Triangulate behavioral data with attitudinal or survey data to identify behavioral patterns and explain underlying motivations and perceptions.
  • Develop and maintain longitudinal measurements to monitor creator experience & product health over time (e.g., satisfaction trackers, usability benchmarks, perception scales)
  • Communicate insights clearly and compellingly through dashboards, visualizations, and narratives that lead to actionable recommendations.
  • Partner with qualitative researchers on mixed-method projects and conduct qualitative research to complement quantitative findings.
  • Collaborate closely with product, design, engineering and data science to ensure insights influence product roadmap decisions and experimentation design.

Who You Are

  • You have an advanced degree (Master’s or PhD) in Statistics, Behavioral Science, Psychology, Data Science, Human-Computer Interaction, or a related field.
  • You have 4+ years of experience conducting quantitative user research in a product development environment.
  • Proficient in designing, executing, and analyzing large-scale surveys, behavioral experiments, usability benchmarks, or attitudinal trackers.
  • You are experienced with advanced survey methodologies (e.g., MaxDiff, Conjoint, TURF) and applied statistical analysis (e.g., hypothesis testing, regression, dimensionality reduction, ANOVA, clustering) to uncover meaningful & impactful insights.
  • You are comfortable using SQL and statistical tools in Python (or R) to analyze, visualize & manipulate large-scale datasets.
  • You’re familiar with qualitative methods and conducting qualitative research when necessary.
  • Strong storytelling and visualization abilities. You can turn complex data into clear insights that drive impact.
  • You have an outcome-centric attitude and a strong product sense.
  • You’re thrive when working on fast-changing problem spaces and can bring structure and clarity to areas of uncertainty.
  • Passionate about music and excited by the opportunity to shape how people experience Spotify.

Where You'll Be

  • This role is based in New York City.
  • 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.
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