Data, Research & Insights
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
We capture data from our software development processes, the internal tools' usage, and our quarterly Engineering Satisfaction survey. We leverage this data to identify bottlenecks, make Spotify faster, and promote data-informed decisions in the Platform mission.
Do you have a passion for removing hurdles to increase effectiveness? Do you want to form hypotheses and help validating them? Do you like to communicate your insights and optimise their impact? If so, join Platform Insights!
What you' ll do
Participate in running the quarterly company-wide engineering satisfaction survey.
Formulate hypotheses related to engineering efficiency, validate them from our datasets, and communicate these insights optimally.
Collaborate closely with engineers, data scientists and team leads across the mission to build and promote shared methods to take data advised decisions.
Who you are
You have at least 2 years of experience, with a degree in statistics, mathematics, computer science, engineering, economics or another quantitative subject area.
You have strong interpersonal skills and are comfortable working with multiple partners.
You know how to understand and seek loosely defined problems and come up with relevant answers and meaningful insights.
You have a deep understanding of how to instrument products to accurately capture user and system behaviours.
You have experience in data modelling and designing datasets to be used by analysts and product development teams.
You have the competence to perform advanced analytics.
You possess statistical competence (such as regression modelling, a/b testing and significance testing).
Experience performing analysis with large datasets in a cloud-based data processing environment, such as BigQuery or similar.
Coding skills, such as Python, Java, or Scala.
Analytics tools experience, such as Pandas, R, SQL or Hadoop.
Where you' ll be
For this role, it can be within the EMEA region in which we have a work location and is within working hours.
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
Find more information about our Work From Anywhere options here.
Perks of being in the band
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off - fully paid - for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Spotify On Tour, join your colleagues on trips to industry festivals and events.
Learn about life at Spotify
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.
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 with a community of more than 345 million users.