You are a great storyteller and communicator, able to speak fluently to business people, designers, engineers and other stakeholders (in English). You are familiar with quantitative research methods, comfortable with metrics and A/B tests, and are able to synthesize quantitative data with qualitative user research. You are comfortable planning, scoping, conducting, analyzing and communicating research. You have broad experience of qualitative research methods. You have a minimum of 3+ years relevant applied experience with a degree or higher in Psychology, Human-Computer Interaction, Human Factors, Social Science, or a related discipline. Mentor and coach other user researchers. Contribute to the development of the Product Insights function and the wider analytics community at Spotify. Evangelize tools and best practices to empower product managers, designers and developers to conduct research. Synthesize and communicate research results to different audiences in Spotify to help magnify the impact of the findings. Document and track learnings gathered through testing and research so insights can easily be referenced and applied for future projects. Use a wide variety of mixed research methods: qualitative and quantitative methods. Design studies and develop hypotheses examining users’ behaviors, needs, and attitudes. Identify and prioritize research studies. Your work will impact the way the world experiences music and audio! What You'll Do This role works closely with a multidisciplinary team of data scientist, product teams, designers and data engineers. Your work will be critical in helping us understand the needs of our users, define our understanding of music, audio so we can develop how we personalize at Spotify. We have several roles open across different levels of seniority. 
We are seeking a User Researcher to join our Product Insights team, focusing on Personalization.
We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We built them by understanding the world of music and podcasts better than anyone else. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. The Personalization team makes deciding what to play next easier and more enjoyable for every listener.
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