Spotify

Data Scientist, Finance Data & Insights – Premium Revenue, Royalties, Legal

Spotify

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $85,329 - $121,898 per year

Job Level

JuniorMid-Level

Tech Stack

BigQueryPythonSQLTableau

About the role

  • Work with a cross-functional team of data scientists, engineers, and functional stakeholders to develop and enhance systems and data that support Finance and/or Accounting.
  • Assist with legal and audit data pulls, ensuring compliance, accuracy, and appropriate documentation.
  • Collaborate with internal stakeholders to understand their data needs and provide clear, accurate, and timely outputs.
  • Gain and deploy a deep understanding of the Spotify data ecosystem to complete operational tasks and analyses related to royalty payments and subscription revenues with accuracy and timeliness
  • Work with large data sets, solving complex problems in a fast-paced and dynamic environment
  • Drive process efficiencies through automation and delivery of data pipelines to enable self-service reporting and analytics, using AI where possible
  • Work in an environment with a group of highly motivated individuals who are passionate about Spotify’s success

Requirements

  • 2+ years of experience in data analytics, ideally with experience in financial data analysis. Experience in a tech-forward environment is a plus.
  • A passion for solving complex problems through data analysis combined with a strong business acumen.
  • Experience performing analysis over large and complex data sets
  • Fluent in SQL and have hands-on experience with BigQuery and Google Sheets. You also have experience with visualization tools (e.g, Tableau, Looker Studio)
  • Have the ability to communicate with both technical and non-technical teams to understand problems and articulate proposed solutions
  • Can formulate meaningful conclusions from your analysis or investigations that inform business decisions while highlighting limitations and assumptions
  • Experience performing testing and validation of datasets and outputs created by other teams or members of your team
  • Background with both finance and technical experience, with a degree in finance, accounting, information systems, mathematics, statistics, computer science, or another quantitative discipline
  • Experience with AI, Python, R, or other programming languages is a strong plus.
Benefits
  • Health insurance
  • Six month paid parental leave
  • 401(k) retirement plan
  • Monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
  • Paid sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analyticsfinancial data analysisSQLBigQueryGoogle Sheetsdata visualizationTableauLooker StudioPythonR
Soft skills
problem solvingbusiness acumencommunicationcollaborationanalytical thinkingattention to detailadaptabilitytime managementcritical thinkingteamwork