Royalty Data Specialist

Company Description   Duetti is redefining how independent music creators monetize and grow their careers. Founded in 2022 by CEO Lior Tibon and COO Christopher Nolte, Duetti partners with creators to unlock the value of their catalogs through flexible, straightforward deals, while also offering top-tier catalog management, distribution, and marketing services. Since its founding, Duetti has partnered with over 1,100 music creators across 40 countries - including Connor Price, Ingrid Contreras, and Brent Morgan - helping them monetize their music on their own terms and reach new audiences. Backed by leading investors including The Raine Group, Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti has raised over $635 million in capital to fund independent music creators. Fueled by a belief in independence and financial empowerment, Duetti is building a more sustainable future for music creators everywhere. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an ambitious, high-ownership environment where your work will have an immediate, tangible impact.   Job Description 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: How can this process be faster? How can we automate repetitive work? How can we improve data quality? 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: • Review, validate, and process music royalty statements from major distributors and DSPs. • Investigate inconsistencies, missing information, and data quality issues. • Transform complex financial reports into standardized datasets used throughout the company. • Build Python tools to automate repetitive workflows. • Identify opportunities to improve processing speed, accuracy, and scalability. • Work closely with engineers to build internal tools that streamline statement processing. • Collaborate with Investment and Research teams to ensure processed data supports pricing and underwriting decisions. • Monitor operational metrics and recommend improvements. • Help design new workflows as Duetti continues to scale. Job Requirements: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or a related quantitative field. • Strong SQL skills. • Experience with Python for data manipulation and automation. • Excellent analytical and problem-solving abilities. • Exceptional attention to detail. • Comfortable working with large datasets and identifying anomalies. • Ability to balance accuracy with speed in a fast-paced environment. • Strong communication skills and ability to collaborate across technical and business teams. • Curious mindset with a passion for continuously improving processes. • Ability to work independently and take ownership. Nice to Have: • Experience working with financial reports or operational datasets. • Experience with ETL pipelines or data engineering workflows. • Familiarity with Google Sheets, Excel, or data visualization tools. • Experience in music, streaming, royalties, or financial technology. • Experience using AI tools to automate operational workflows.