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Data Scientist, Finance Data & Insights

Spotify Media & Entertainment
Temps pleinNew York, NY

À propos du poste

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. — Published by Spotify. Apply on the employer's own posting.

Compétences

data analytics
data analysis
automation
analytics
reporting
research
finance
claude
sql
communication

Sur InTransparency, vous postulez avec des compétences vérifiées à partir de vos projets réels, et non un CV auto-déclaré.

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