Manager A&R Analytics

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

Position Overview

MCA is currently seeking a Manager, A&R Analytics reporting directly to the EVP, A&R. This position will have a central role in the team, constructing statistical insights and predictive metrics, conducting research on artists, and analyzing new music. These efforts will be used to evaluate song performance, identify new artists, support promotion strategy, and improve the label’s understanding of new music metrics. This role will work closely with the A&R and Audience Insights teams to provide precise reporting and necessary business tools for MCA. The position requires a strong skill set in mining, testing, and analyzing data.

Responsibilities
• Develop and test statistical and predictive models to support artist identification, signing decisions, song evaluation, and promotion strategy
• Conduct research to evaluate new music and improve the organization’s understanding of new music metrics
• Own the creation of key data sets that drive existing and future internal reporting tools within MCA
• Provide practical and creative data solutions on large sets of data
• Support the Data & Research Team on data initiatives pertaining to A&R, ensuring optimal data delivery for all projects
• Liaison with Corporate Data team to stay informed and up to date on latest data and analytic tools available internally and externally
• Communicate closely with analytics and A&R teams in the gathering and application of music insights
• Collect, prepare, and explore a variety of music data, and construct new methods to draw insights from this data
• Develop and implement new analytical processes and/or technologies
• Attend new artist shows
• Other duties and responsibilities as required

Skills & Abilities
• Proficiency with R or Python and SQL, as well as expertise with Excel
• Strong analytical and problem‑solving skills
• Direct background and/or current position with heavy use of data analytics
• A passion for data, especially for creating efficient and scalable models
• A rabid desire to acquire knowledge from anywhere, whether related parallel industries or highly unlikely sources, and apply it to our situation with constant trial and error
• Research and development of complex data models, algorithms, and techniques
• A relaxed and confident approach to all business relationships internally and externally
• Passionate about new music

Experience
• A minimum of 1–2 years of experience using databases and analytic tools to build business solutions

Education
• Undergraduate or technical degree with highly relevant background required

Benefits

We offer a range of benefits including comprehensive medical, dental, and vision coverage; 100% coverage for out‑patient in‑network mental health services; fertility coverage for eligible medical plan participants; wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year); student loan repayment assistance and tuition reimbursement; 401(k) with 100% immediate vesting on the first 5% of your contributions, plus additional UMG contribution; flexible paid time off (PTO) for exempt employees; 3‑weeks PTO for non‑exempt employees; 2‑weeks paid winter break; 10 company holidays (including Juneteenth and Wellbeing Day); summer Fridays (between Memorial Day and Labor Day); generous paid parental leave for every type of parent.

Equal Opportunity Employer

Universal Music Group is an Equal Opportunity Employer. We are an E‑Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.