Support Legal and Finance with data analytics, ad-hoc reporting, and automation using AI tooling. Build and maintain data pipelines and self-service reporting, validate datasets, partner with engineers and stakeholders, and improve process efficiency.
We are looking for a Data Scientist to join the Finance Data & Insights organization. You will support the Legal and Finance organizations through data analytics and ad-hoc reporting, while using your experience to improve data self-service capabilities and automation through AI tooling. You will also contribute to process automation and provide technical and data guidance to Legal and Finance partners.
What You'll Do
- Gain and apply a deep understanding of Spotify’s data ecosystem to support operational data requirements for legal requests
- Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and maintain systems and processes that support Legal and Finance
- Partner with engineering teams to gather requirements and generate outputs for technically complex matters
- Work with large datasets to solve complex problems in a fast-paced and dynamic environment
- Improve process efficiency through automation and the delivery of data pipelines that strengthen existing self-service reporting and analytics
- Collaborate with highly motivated colleagues who are passionate about Spotify’s success
Who You Are
- You have a passion for solving complex problems through data analysis, combined with strong business acumen and excellent communication skills
- You can communicate effectively with both technical and non-technical teams to understand problems and articulate proposed solutions
- You can draw meaningful conclusions from analysis and investigations that inform business decisions
- You have experience validating datasets and outputs created by other teams or members of your team
- You can identify opportunities to make processes more efficient and translate common workflows into feature requirements
- You have 4+ years of experience in data analytics, including relevant experience with financial and/or legal data
- You have a degree in information systems, computer science, finance, mathematics, or another quantitative discipline
- You have experience performing analysis across large and complex datasets
- You have strong SQL knowledge and experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL capabilities
Where You'll Be
- This role is based in New York.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
- We ask that you come in 2–3 times per week.
Spotify San Francisco, California, USA Office
San Francisco, United States
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