Senior Data & Research Analyst

This is a Full Time Job

Job Title: Sr. Analyst, Data & Research

A little bit about our team:

The Warner Records Research & Analysis Team is a small, agile & objective group of individuals that support our artists, managers and internal departments by providing cutting-edge analysis to help advance Artist careers and ensuring the Label achieves its goals.

Your role:

Warner Records is seeking a Senior Analyst, Data & Research to serve as the technical backbone of our data operations. This is a high-impact, individual contributor role designed for a "builder" who thrives on autonomy and speed. You will be responsible for moving beyond basic reporting into the realm of predictive science. You will build the models that forecast hits, the scripts that bypass corporate bottlenecks, and the insights that give our artists a measurable edge. You aren't just looking at data; you are engineering the tools that help Warner Records win.

Here you'll get to:
• Build & Deploy Forecasting Models: Develop and maintain scalable models to predict streaming trends, sales velocity, and chart trajectories. You will turn raw historical data into actionable projections for marketing and A&R.
• Advanced Statistical Analysis: Apply Data Science methodologies (Regression, Clustering, ML) to our existing data stacks to refine how we measure artist growth and audience engagement.
• Rapid Prototyping (The "Skunkworks" Lab): Develop ad-hoc data solutions, custom dashboards, and PoCs (Proof of Concepts) to solve immediate label challenges faster than centralized IT cycles allow.
• Metadata & Pipeline Collaboration: Work directly with the DataOps team to ensure 3rd-party metadata (from DSPs and social platforms) is ingested correctly and structured for high-level analysis.
• Technical Liaison: Act as the NYC label's technical representative. You will translate label needs into technical requirements for WMG's Global Tech and Product teams and help beta-test new internal tools.
• Competitive Intelligence: Generate data-driven "advantages" by identifying market gaps and performance trends that allow Warner Records to outperform competitors and sister labels.

About you:
• The Technical Core: You are highly proficient in Python (Pandas, Scikit-Learn) and SQL. You are comfortable navigating Big Data environments and building complex Data Models.
• Analytical Rigor: You have a background in Data Science or Machine Learning and know how to move beyond "vanity metrics" to find the signal in the noise.
• Agility & Prototyping: You are a "hacker" at heart. If a tool doesn't exist, you can build a script or a beta version to get the job done today.
• Communication: You can bridge the gap between "Dev talk" and "Music talk." You can explain a model's confidence interval to a Marketing Manager in a way that helps them make a better decision.
• Industry Passion: You live and breathe music and understand the nuances of the modern digital landscape (TikTok trends, playlisting algorithms, and global streaming shifts).

We'd love it if you also had:
• Programming: Python (Primary), SQL (Expert)
• Data Science: Machine Learning, Time-Series Forecasting, Data Modeling, AI Integration
• Infrastructure: Experience with Big Data tools (BigQuery, Snowflake, or similar)
• Visualization: Ability to build clean, intuitive visualizations via Tableau, Looker, or Python-based tools (Streamlit/Dash)


We're taking our time to review all resumes, and to find the best people for WMG.

This position requires a minimum of four days per week in the office. We value in-office collaboration and believe it's essential for talent development and fostering strong working relationships.