Analytics Engineer

About the Company: Our client is a fast-growing, venture-backed music company that helps independent musiccreators monetize and grow their careers. The company partners with creators to unlock thevalue of their catalogs through flexible, straightforward deals, and also offers catalogmanagement, distribution, and marketing services. It has partnered with a large and growingroster of independent creators around the world, helping them monetize their music on theirown terms and reach new audiences. Backed by leading investors and significant capital raised to fund independent creators, thecompany is driven by a belief in independence and financial empowerment and is building amore sustainable future for music creators everywhere. The company has offices in several major cities, including New York, and offers a competitivebenefits package that includes healthcare coverage, flexible paid time off, and a hybrid workmodel. It is an ambitious, high-ownership environment where your work will have animmediate, tangible impact.

Role Overview: We’re looking for an Analytics Engineer to join as an early member of the Data Team and helpbuild the systems that power artist sourcing, track pricing, portfolio management, and cataloggrowth. This role sits at the intersection of analytics, engineering, and product with highautonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of the company’s data products. Because data fuels everything the company does, the Data Team works horizontally acrossthe entire organization. While your core focus will be deal-flow optimization and catalogpricing, which sit at the core of the business model, you’ll also collaborate with music-industryveterans, financial experts, and senior engineers and data scientists across a variety ofinitiatives. You Will: Own the core models, transformations, and analytics products that drive track andcatalog 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 andproprietary datasets Work closely with Product to design internal tools, workflows, and decision supportsystems Identify and resolve data quality and pipeline issues, ensuring a reliable analyticsfoundation across teams Dive deep into streaming performance and catalog behavior to uncover optimizationopportunities 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-growthenvironments 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 stakeholdersA builder mindset: autonomous, curious, proactive, and excited to shape a fast-movinganalytics stack Experience with music streaming data, KPIs, or creator-economy platforms (preferredbut not required)Experience collaborating on or implementing LLM-powered internal tools or workflows(preferred but not required)Compensation$100,000 to $140,000 a year