Data Scientist - Financial Data & Insights

New York City

Spotify

We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!

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We are looking for a Data Scientist to join our Legal Analytics team within the Finance Data & Insights organization. Your responsibility will be to support the Legal, Finance, and Accounting organizations through data analytics, process automation, technical guidance, and other ad-hoc reporting.

What You'll Do

  • Work with a cross-functional team of data scientists, engineers, and functional partners to develop and maintain systems and processes to support Legal, Finance, and/or Accounting
  • Gain and deploy a deep understanding of the Spotify data ecosystem to support operational data requirements for legal requests
  • Partner with engineering teams to capture requirements and generate outputs for technically complex matters
  • Work with large data sets, solving complex problems in a fast-paced and dynamic environment
  • Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics
  • Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success

Who You Are

  • You have a passion for solving complex problems through data analysis combined with a strong business acumen
  • You have the ability to communicate with both technical and non-technical teams to understand problems and articulate proposed solutions
  • You can formulate meaningful conclusions from your analysis or investigations that inform business decisions
  • You have experience performing testing and validation of datasets and outputs built by other teams or members of your team
  • You have worked in data analytics for a minimum of 3 years with relevant experience in financial and/or legal data analysis
  • You have a degree in information systems, mathematics, statistics, computer science, or another quantitative discipline
  • You have experience performing analysis over large and complex data sets
  • Required knowledge: SQL and Python; additionally recommended skills include other analytic tools (e.g. Pandas, R, BigQuery) and visualization tools (e.g. Tableau)

Where You'll Be

  • Hybrid role based in our New York offices (average 2 to 3 days a week required)
  • Working hours? We operate within the Eastern time zone for collaboration
The United States base range for this position is $86,691.00 - $123,844.00 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, 23 paid days off, 13 paid flexible holidays, paid sick leave. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance.
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.
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Tags: BigQuery Computer Science Data analysis Data Analytics Data pipelines Engineering Finance Mathematics Pandas Pipelines Python R SQL Statistics Streaming Tableau Testing

Perks/benefits: Equity Flex hours Flex vacation Health care Parental leave

Region: North America
Country: United States
Job stats:  11  1  0
Category: Data Science Jobs

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