Data Scientist - Accounting
New York, NY
Applications have closed
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!
The Royalties Analytics & Data team at Spotify provides support to Finance & Accounting teams through data insights, automation solutions, and ad-hoc reporting. We help to communicate technical and business requirements between internal and external partners and serve as subject matter experts for accounting data. This role in particular will focus on Podcasts and Original or Exclusive Content analytics for Finance & Accounting.
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 381 million users.
This position is not eligible to be performed in Colorado.
What you'll do
- Work with a cross-functional team of data analysts, engineers, and accountants to maintain and develop systems and processes to support accurate financial reporting
- Gain and deploy a deep understanding of ad impression datasets supporting operational and pivotal initiatives as they relate to Finance & Accounting
- Work with large data sets, solving complex problems in a fast-paced and dynamic environment
- Evaluate and provide insights regarding the consumption of Podcasts and other Original or Exclusive Content
- Partner with accounting team members to define requirements for ad-hoc data analysis and reporting, being able to work independently and as a team to propose and implement solutions
- 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 and financial competence
- You have the ability to connect with both technical and non-technical teams to understand and define problems, and articulate proposed solutions
- You have an eye for trends and the ability to reach meaningful conclusions that inform strategic business decisions
- You have worked in data analytics for a minimum of 2 years with relevant experience with accounting and financial data analysis
- You have a degree in mathematics, statistics, computer science, economics or another quantitative field
- You have the technical competence to perform advanced analytics over large data sets with experience in Python, SQL and/or other analytic tools (e.g. Pandas, R, SPSS, Bigquery, SAS) and visualization packages (e.g. Tableau, Qliksense, D3)
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 New York City in which we have a work location
- Working hours? We operate within the Eastern Standard time zone for collaboration
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 381 million users.
This position is not eligible to be performed in Colorado.
Tags: BigQuery Computer Science Data analysis Data Analytics Data pipelines Economics Finance Mathematics Pandas Pipelines Python R SAS SQL Statistics Streaming Tableau
Region:
North America
Country:
United States
Job stats:
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Category:
Data Science Jobs
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