Analytics Engineer

Analytics Engineer

New York, NY · Data & Engineering · Full-Time · Hybrid

About the Company

Our client is a fast-growing, venture-backed music company that helps independent music

creators monetize and grow their careers. The company partners with creators to unlock the

value of their catalogs through flexible, straightforward deals, and also offers catalog

management, distribution, and marketing services. It has partnered with a large and growing

roster of independent creators around the world, helping them monetize their music on their

own terms and reach new audiences.

Backed by leading investors and significant capital raised to fund independent creators, the

company is driven by a belief in independence and financial empowerment and is building a

more sustainable future for music creators everywhere.

The company has offices in several major cities, including New York, and offers a competitive

benefits package that includes healthcare coverage, flexible paid time off, and a hybrid work

model. It is 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 the 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 the company’s data products.

Because data fuels everything the company does, the Data Team works horizontally across

the entire organization. While your core focus will be deal-flow optimization and catalog

pricing, which sit at the core of the 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)

Compensation

$100,000 to $140,000 a year