Associate Data Scientist, FP&A - Automation & Tooling

New York, NY

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Posted 1 month ago

Spotify’s goal is to become the world’s leading audio platform, and having a best-in-class Financial Planning and Analytics (FP&A) function is crucial to this mission. The Automation & Tooling team plays an instrumental role within the FP&A team by developing Spotify's financial forecast ecosystem and scenario analysis tools, and by driving improvements to the company’s strategic decision-making processes through data and insights.
We are looking for an outstanding Associate Data Scientist who will contribute to helping us build a forecasting platform that will integrate and automate Spotify's financial forecast models and enable more coherent decision-making across business strategies, P&L management, and capital allocation. The role offers an exciting mix of coding and analytic responsibilities, ranging from the migration of traditional spreadsheet-based financial models into Python to delivering ad-hoc analyses that provide Spotify leaders with insights to make sound strategic investment decisions.
Tapping into the wealth of data that Spotify has to offer, you will be at the forefront of groundbreaking the development of data products that the music and podcasting industries have never before seen to drive insights and strategies for Spotify. Above all, your work will alter the way the world experiences audio content for years to come.

What You'll Do:

  • Actively contribute to the modernization and automation of the FP&A team’s forecasting process by driving the migration of spreadsheet-based models into Python
  • Learn about Spotify’s “freemium” monetization model and unique cost structure as you collaborate with business unit coverage leads to maintain and improve models according to business need
  • Using the models and tools you develop, partner with financial analysts within FP&A to develop analysis frameworks and deliver impactful insights and recommendations to senior leaders within Finance and across the business
  • Support ad-hoc data analyses by collecting and defining technical requirements from a broad range of partners including Finance, Business Affairs, Legal, Content, and Product, working cross-functionally to deliver holistic solutions.
  • You will work out of the New York office

Who You Are:

  • 3+ years of professional experience developing financial forecast models, crafting analytics solutions, and synthesizing insights. Experience working within a Finance team is preferred, and exposure to B2C subscription and/or content licensing business models
  • A strong Python foundation with specific experience in automation and analytics projects
  • A high degree of competence with SQL; experience with distributed systems (Redshift, Hadoop, BigQuery) is a plus
  • A strong passion for process optimization and always finding a way to “do things better”
  • A demeanor that champions collaboration, but also the ability to get the job done on your own when called for
  • A hunger to learn and evolve in all things — from craft to process, you never stop pushing to master existing skill sets and step up to the next big challenge

Where You'll Be:

  • We’ve introduced Work From Anywhere to give you more options!
  • Our offices are currently closed due to COVID-19. Post COVID, while we will ask you to pop into the office from time to time, we are giving you the flexibility to work from home should you choose to do so.
  • Working hours? We operate within the EST zone for collaboration 
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.
Job tags: BigQuery Distributed Systems Finance Hadoop Python Redshift SQL
Job region(s): North America
Job stats:  16  1  0
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