Data Scientist, Finance Data & Insights

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.

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

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

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.