Analytics Engineer

Company Description

Duetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction.

The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques.

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 inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives.

Join us on this transformative journey as we reshape the financial landscape for artists.

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)

$100,000 - $140,000 a year