Analytics Engineer

Job Description

Job Description

About Duetti

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. 

Role Overview

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.

You Will:

• 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

Requirements:

• 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)

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.