Associate Analytics Engineer - Forecasting & Data


Full Time Mid-level / Intermediate
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We are looking for a person with a strong quantitative and technical background. You will be part of a small but growing team of data scientists and analytics engineers that specialize in measuring and predicting the outlook for the Spotify Freemium business. In the role you will support the development and direction of the in-house user forecasting models, using large scale data from across the organization to deliver accurate impact estimates on a global scale for senior business partners. You will also own and develop a number of core dashboards supporting the forecast and enable in-depth performance monitoring. As part of your role you will build a deep understanding of the Spotify business and enable better decision making across the entire organization.

What You'll Do

  • Work closely with the company forecast including modeling the base outlook as well as estimating the impact of new business initiatives
  • Analyze and explore alternative approaches to current methodologies and drive improvements to forecast accuracy and execution
  • Build scalable data pipelines and systems to facilitate business performance tracking and business modeling.
  • Own and develop dashboards over core business metrics and how they track against the company outlook

Who You Are

  • Coding background for analytics and data purposes (including SQL) with experience writing code daily in at least one language such as Python, R, C++, Java and/or Scala. Previous experience analyzing large datasets in a cloud based-environment is a plus.
  • At least 1 year of Data Science and/or Quantitative Modeling experience, preferably with a focus on forecasting/prediction
  • Used to communicate data heavy insights using visualization tools such as D3, ggplot, Tableau, Data Studio or Qlik.
  • Expertise in relevant quantitative subject such as Computer Science, Statistics, Econometrics or Mathematics 

Where You'll Be

  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the EMEA region in which we have a work location
  • 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.
  • Working hours? We operate within the Central European time zone for collaboration
  • We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
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.
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.

Tags: Computer Science Data pipelines Data Studio Econometrics Mathematics Pipelines Python Qlik R Scala SQL Statistics Streaming Tableau

Region: Europe
Country: Sweden
Job stats:  16  4  0
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