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# Data Scientist, Finance Data & Insights

- **Company:** Spotify
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $116,994.0 - $167,135.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Information Systems, Dataspaces, Operational Data Store, SQL Databases, AI Platforms, Information Technology, Data Analytics, Data Pipelines
- **Published:** August 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=43a4be81751e1828

## About the Role

+ 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

## Description

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


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