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
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
Nice to Have
- Experience with music streaming data, KPIs, or creator-economy platforms
- Experience collaborating on or implementing LLM-powered internal tools or workflows
Benefits
- Competitive benefits package
- Healthcare coverage
- Flexible paid time off
- Hybrid work model
Work Arrangement
Hybrid — New York City, Los Angeles, Miami, London
