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Spotify

Quantitative User Researcher

Posted Yesterday
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In-Office or Remote
Hiring Remotely in New York, NY
108K-154K Annually
Mid level
In-Office or Remote
Hiring Remotely in New York, NY
108K-154K Annually
Mid level
As a Quantitative User Researcher, you'll design and conduct large-scale surveys and analyses to understand user behavior and motivations, translating insights into actionable recommendations.
The summary above was generated by AI
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.

The United States base range for this position is $108,117 - $154,453 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, 13 paid flexible holidays, 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.

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.

Top Skills

Data Visualization Tools
Python
R
SQL
Statistical Analysis
Survey Methodologies

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