Data Scientist – Publishing Royalties

Spotify

Job Overview

What You’ll Do

:

  • Work in a team of highly motivated data analysts / scientists leveraging large data sets to solve complex problems in a dynamic environment
  • Work with accounting team members to define requirements for ad-hoc data analysis and reporting, being able to work independently to propose solutions to address business needs
  • Work with our engineers and data scientists to support the development of system and process enhancements to support royalties calculations, product configuration and reporting
  • Supportad-hoc requests from various internal teams (Accounting, Legal, Licensing, Financial Planning, etc) as well as external music licensors that require analysis of royalties and streaming data
  • Communicate with external licensors to ensure Spotify receives high quality data for our claims and analytics platform
  • Support the delivery of configuration changes, testing and deployment for new product offerings and contractual requirements in our royalties and reporting systems
  • Who You Are:

  • You have a minimum of 3 years of experience solving business problems using analytic tools
  • You have excellent verbal, written and interpersonal skills and the ability to prioritize and deliver results in a fast-moving company with a wide variety of strategic initiatives
  • You have experience working with financial data and/or performing data reconciliations and quality assurance testing
  • You have experience in the data extract, transform and load process including data cleansing and quality review
  • You have a degree in mathematics, statistics, computer science or another quantitative discipline
  • You have experience withWe are looking for a Data Scientist to work with our Publishing Royalties team. You will work with large data sets to develop insights about how we calculate, report and pay publishing royalties. You will also work with our engineering teams to support the development of systems related to publishing data. SQL, Python/Pandas, Big Query/Google Cloud Platorm, Tableau or other visualization tools and command line operations skills
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