Your role:

As an Analyst on the Deals Office’s Reporting & Analysis team, you’ll play a key role in delivering the insights and analysis that power our content investment decisions across Recorded Music and Music Publishing. This role requires a highly analytical mentality that’s equally comfortable with high-level strategy and granular data analysis. The right candidate will be comfortable in a fast-paced, high-volume financial environment, with experience communicating results to senior collaborators and using AI tools to improve efficiency.

Here you’ll get to:

• Query, transform, and analyze large financial datasets related to WMG’s artists and songwriters, synthesizing insights and strategic recommendations for senior collaborators.
• Create reports, dashboards, and other intelligence tools to support financial decisions and deal valuation modeling.
• Maintain data standards in WMG’s internal deal intelligence platform and give to analytics feature development.
• Monitor and manage WMG’s global deal pipeline, ensuring compliance with all governance and due diligence requirements.
• Leverage generative and agentic AI to improve the speed and efficiency of our insights and reporting workflows.
About you:

• Bachelor's degree in Finance, Accounting, Sciences, or a related quantitative discipline.
• 3-5 years of experience in investment banking, consulting, analytics engineering, business intelligence, or a similar analytical role.
• Knowledge of artist and songwriter monetization channels, royalties, and other music industry financial processes is highly preferred.
• Advanced SQL skills with experience querying, transforming, and wrangling large financial datasets.
• Familiarity with data visualization and dashboarding tools (Tableau, Streamlit, Plotly Dash, etc); you know how to build a dashboard that recommends a solution instead of just describing the problem.
• Excellent strategic and business acumen, with the ability to communicate clear recommendations to stakeholders
• Experience leveraging generative and agentic AI tools to boost productivity in financial settings
• Advanced proficiency with spreadsheet (Excel / Google Sheets) and presentation (PowerPoint / Google Slides) tools.
We’d love it if you also had:

• Experience conducting data analysis with Python
• Knowledge of / experience with advanced statistical analysis (regression, hypothesis testing, causal inference, etc.)
• Passion for music and knowledge of industry trends