Analytics Engineer

4w1 month ago

Duetti

New York City, US · Full-time · $130,000 – $160,000

About this role

Duetti is redefining how independent music creators monetize and grow their careers. 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 and technical ownership. You will own the core models and transformations that drive track and catalog pricing decisions, and partner with Finance & Management to uncover insights into catalog performance and revenue drivers.

Because data fuels everything we do, the Data Team works horizontally across the entire company. You'll collaborate with music-industry veterans, financial experts, and senior engineers and data scientists on a variety of initiatives, from deal-flow optimization to catalog pricing. The environment is ambitious and high-ownership, where your work will have immediate, tangible impact.

You will help define the future of our data products and explore building LLM-powered internal tools that automate data workflows. This is an opportunity to dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, reporting to the Head of Data & Analytics.

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)

Responsibilities

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