Job Description
Job DescriptionAbout Duetti
Duetti is the music company that partners with independent artists and songwriters to buy, manage, and market their catalogs. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti provides capital and operational support to help creators monetize, manage, and grow their music catalogs.
Through flexible deal structures, Duetti works with a broad range of artists and songwriters, supporting them with catalog management, marketing services and production of remixes and derivative works. Since its founding, Duetti has partnered with more than 1,100 creators across over 40 countries.
Duetti is backed by The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, and has raised more than $635 million to date through a combination of equity and debt financing.
With offices in New York City, Los Angeles, Miami, Nashville, London and Rio de Janeiro, Duetti offers competitive benefits, flexible paid time off, and a hybrid work model. We pride ourselves on a culture that blends ambition with genuine care – an environment where your work immediately shapes outcomes for artists worldwide.
Role Overview
Music royalty statements are one of the most important sources of information at Duetti. They directly impact how we evaluate opportunities, price catalogs, monitor portfolio performance, and make investment decisions.
As a Royalty Data Specialist, you will own one of Duetti’s most critical operational workflows: transforming raw royalty statements into reliable, structured, and actionable data.
This role combines analytics, operations, and process improvement. While a large part of the work involves reviewing and processing royalty statements, we are looking for someone who is constantly asking:
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How can this process be faster?
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How can we automate repetitive work?
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How can we improve data quality?
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How can we make the experience better for the rest of the company?
You’ll work closely with Engineering, Research, Investment, Finance, and Product teams to continuously improve one of the core engines that powers Duetti.
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.
You Will:
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Review, validate, and process music royalty statements from major distributors and DSPs.
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Investigate inconsistencies, missing information, and data quality issues.
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Transform complex financial reports into standardized datasets used throughout the company.
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Build Python tools to automate repetitive workflows.
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Identify opportunities to improve processing speed, accuracy, and scalability.
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Work closely with engineers to build internal tools that streamline statement processing.
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Collaborate with Investment and Research teams to ensure processed data supports pricing and underwriting decisions.
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Monitor operational metrics and recommend improvements.
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Help design new workflows as Duetti continues to scale.
Job Requirements:
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Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or a related quantitative field.
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Strong SQL skills.
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Experience with Python for data manipulation and automation.
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Excellent analytical and problem-solving abilities.
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Exceptional attention to detail.
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Comfortable working with large datasets and identifying anomalies.
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Ability to balance accuracy with speed in a fast-paced environment.
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Strong communication skills and ability to collaborate across technical and business teams.
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Curious mindset with a passion for continuously improving processes.
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Ability to work independently and take ownership.
Nice to Have:
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Experience working with financial reports or operational datasets.
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Experience with ETL pipelines or data engineering workflows.
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Familiarity with Google Sheets, Excel, or data visualization tools.
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Experience in music, streaming, royalties, or financial technology.
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Experience using AI tools to automate operational workflows.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.