Analytics Engineer
duetti · New York, NY ·
- Work mode
- Hybrid
- Employment
- Full time
- Category
- Data analytics
- Experience
- 5+ years
duetti · New York, NY ·
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.
We're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products.
Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.
Own the core models, transformations, and analytics products that drive track and catalog pricing decisions
Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health
Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets
Work closely with Product to design internal tools, workflows, and decision support systems
Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams
Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs
Explore and build LLM-powered internal tools that automate data workflows
5+ years in analytics engineering or data analytics roles within high-growth environments
Strong SQL & Python skills for data modeling, transformation, and automation
Hands-on experience with BI tools (Looker, Tableau, or equivalent)
Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders
A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack
Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)
Experience collaborating on or implementing LLM-powered internal tools or workflows (preferred but not required)