Royalty Data Specialist

Duetti

New York, United States Posted October 22, 2026

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On-site Full-time Mid level
Salary Range

$80,000 - $95,000

Job Description

Join Duetti, a leading music technology company, as a Royalty Data Specialist. In this critical role, you will transform raw music royalty statements into reliable, structured, and actionable data. You will work closely with various teams to continuously improve our core operations and have a measurable impact on the business. The ideal candidate will have strong SQL skills, experience with Python, and a passion for improving processes.

  • Review, validate, and process music royalty statements from major distributors and DSPs, ensuring accuracy and compliance.
  • Transform complex financial reports into standardized datasets used throughout the company, and build Python tools to automate repetitive workflows.
  • Collaborate with Investment and Research teams to ensure processed data supports pricing and underwriting decisions, and monitor operational metrics.
  • While a large part of the work involves reviewing and processing royalty statements, we are looking for someone who is constantly asking:
  • How can we improve data quality?
  • How can we automate repetitive work?
  • How can this process be faster?
  • How can we make the experience better for the rest of the company?
  • If you enjoy solving operational problems, working with data, improving processes, and having measurable impact on the business every day, this role is for you
  • Ability to balance accuracy with speed in a fast-paced environment
  • Ability to work independently and take ownership
  • Strong SQL skills
  • Curious mindset with a passion for continuously improving processes
  • Excellent analytical and problem-solving abilities
  • Experience with Python for data manipulation and automation
  • Exceptional attention to detail
  • Strong communication skills and ability to collaborate across technical and business teams
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or a related quantitative field
  • Comfortable working with large datasets and identifying anomalies
  • Experience using AI tools to automate operational workflows
  • Experience in music, streaming, royalties, or financial technology
  • Familiarity with Google Sheets, Excel, or data visualization tools
  • Experience with ETL pipelines or data engineering workflows
  • Experience working with financial reports or operational datasets
Required Skills
SQL Python compliance collaboration insurance problem solving attention to detail communication statistics Excel ETL data engineering
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