Analyst, Deals Office

Warner Music Group; Los Angeles (CA); On-site; USD 89,000 - 110,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

Warner Music Group is looking for an Analyst on the Deals Office’s Reporting & Analysis team in Los Angeles, California. You will analyze financial datasets that inform content investment decisions across Recorded Music and Music Publishing.

The role entails generating reports, maintaining data standards in internal platforms, and leveraging AI for enhanced insights. A Bachelor’s degree in Finance or related field and 3-5 years of analytic experience are required.

Salary range is $89,000 to $110,000 annually, with a minimum of 4 days a week in office.

Qualifications

• 3–5 years of experience in investment banking, consulting, analytics engineering, or business intelligence.
• Familiarity with data visualization and dashboarding tools.
• Experience leveraging generative and agentic AI tools in financial settings.

Responsibilities

• Query, transform, and analyze large financial datasets.
• Create reports and dashboards to support financial decisions.
• Monitor and manage WMG’s global deal pipeline.

Skills

Analytical skills

Advanced SQL

Data visualization tools

Strategic communication

Advanced proficiency with Excel

Python data analysis

Knowledge of music industry finance

Statistical analysis

Education

Bachelor’s degree in Finance, Accounting, Sciences, or related field

Tools

Tableau

Google Sheets

PowerPoint

Job description

About the 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.

Responsibilities

• 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 contribute to analytics feature development.
• Monitor and manage WMG’s global deal pipeline, ensuring compliance with governance and due diligence requirements.
• Leverage generative and agentic AI to improve the speed and efficiency of insights and reporting workflows.

Qualifications

• 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.
• Advanced SQL skills with experience querying, transforming, and wrangling large financial datasets.
• Familiarity with data visualization and dashboarding tools (Tableau, Streamlit, Plotly Dash, etc.) and ability to build dashboards that recommend solutions.
• Excellent strategic and business acumen, with the ability to communicate clear recommendations to stakeholders.
• Advanced proficiency with spreadsheet (Excel / Google Sheets) and presentation (PowerPoint / Google Slides) tools.
• Experience leveraging generative and agentic AI tools to boost productivity in financial settings.
• Experience conducting data analysis with Python (preferred).
• Knowledge of artist and songwriter monetization channels, royalties, and other music industry financial processes is highly preferred.
• Knowledge and experience with advanced statistical analysis (regression, hypothesis testing, causal inference, etc.) is preferred.
• Passion for music and knowledge of industry trends.

Benefits and Working Conditions

• Salary Range: $89,000 to $110,000 annually.
• Position requires a minimum of 4 days per week in the office.
• Warner Music Group offers a comprehensive benefits package (details available through internal resources).

Warner Music Group is an Equal Opportunity Employer.