Spotify is looking to solve the problem of ensuring accurate, reliable data for financial decisions, specifically for subscription revenues, music royalties, and audiobook royalties.
Requirements
- Fluent in SQL and have hands-on experience with BigQuery and Google Sheets.
- Experience with visualization tools (e.g, Tableau, Looker Studio)
- Experience with AI, Python, R, or other programming languages is a strong plus.
- Experience performing analysis over large and complex data sets
- Background with both finance and technical experience
- Experience with data analytics, ideally with experience in financial data analysis.
- Experience performing testing and validation of datasets and outputs created by other teams or members of your team
Responsibilities
- Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and enhance systems and data that support Finance and/or Accounting.
- Assist with legal and audit data pulls, ensuring compliance, accuracy, and appropriate documentation.
- Collaborate with internal stakeholders to understand their data needs and provide clear, accurate, and timely outputs.
- Gain and deploy a deep understanding of the Spotify data ecosystem to complete operational tasks and analyses related to royalty payments and subscription revenues with accuracy and timeliness
- 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, using AI where possible
- Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success
Other
- 2+ years of experience in data analytics, ideally with experience in financial data analysis.
- A passion for solving complex problems through data analysis combined with a strong business acumen.
- Can formulate meaningful conclusions from your analysis or investigations that inform business decisions while highlighting limitations and assumptions
- Have the ability to communicate with both technical and non-technical teams to understand problems and articulate proposed solutions
- Degree in finance, accounting, information systems, mathematics, statistics, computer science, or another quantitative discipline
