The Role
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.
Summary Generated by Built In
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.
Skills Required
- 4+ years of experience in data analytics, including financial and/or legal data
- Degree in information systems, computer science, finance, mathematics, or another quantitative discipline
- Experience performing analysis across large and complex datasets
- Strong SQL knowledge
- Experience using Claude Code, Codex, or other AI platforms for research, routines, and text-to-SQL
- Experience validating datasets and outputs created by other teams
- Ability to communicate effectively with technical and non-technical teams
- Experience improving process efficiency through automation and delivering data pipelines
Spotify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Spotify and has not been reviewed or approved by Spotify.
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Flexible Benefits — Employees consistently praise the total compensation package beyond base salary, highlighting a mix of RSUs, cash incentives, and stipends alongside core pay. The package is described as flexible and customizable through equity choices (e.g., RSUs, options, cash) that can be tailored for long-term wealth building.
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Leave & Time Off Breadth — Time-off offerings are repeatedly highlighted as substantial, including generous vacation, paid sick days, volunteer time, and flexible holidays. These policies are framed as a meaningful part of the overall rewards experience beyond salary.
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Healthcare Strength — Health coverage is portrayed as comprehensive, spanning medical, dental, vision, life insurance, disability coverage, and mental health support. Additional employer contributions to HSAs are cited as strengthening the overall health and wellness value proposition.
Spotify Insights
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The Company
What We Do
Spotify transformed music listening forever when it launched in Sweden in 2008. Discover, manage and share over 50m tracks for free, or upgrade to Spotify Premium to access exclusive features including offline mode, improved sound quality, and an ad-free music listening experience.
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