Analyst, Marketing - New York, 10019, United States of America
Universal Music Group is the world’s leading music company. We are committed to artistry, innovation and entrepreneurship. We own and operate an array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. Our vast catalogue of recordings comprises the largest, most diverse and culturally rich collection of music ever assembled.
As digital technology refashions the world, our unmatched commitment to lead in developing new services, platforms and business models for music and related content delivery empowers innovators and allows new commercial and artistic opportunities to flourish.
How we LEAD:
UMG’s Global Insights team manages the most powerful and effective data sets and research capabilities in the music industry. As well as utilizing sales, streaming, and other commercial data, the Global Insights team manages extensive consumer survey data from around the world, delivering unique detail into evolving attitudes and behavior of today’s music consumers.
Global Insights is a 15+ person team, with presence in London, NY and LA. This role is based in NY and will require close integration with the data teams in NY and London, supporting the Artist Insights & Strategy team. The candidate will report directly to the Manager, Artist Insights & Strategy.
The Artist Insights Team delivers in-depth artist brand analysis, campaign recommendations and cultural trend insights to marketing executives, informing artist brand development, media buying, campaign planning and product development. The team also develops cross-disciplinary marketing frameworks that guide how UMG adapts to new platforms, audiences, and marketing opportunities globally.
We are currently seeking a Analyst, Marketing to support a new Marketing Analytics workstream to power best-in-class playbooks, benchmarks, and insights across UMG. This role will help develop scalable frameworks and data-driven recommendations that enable labels and markets to optimize their marketing strategies globally.
How you will CREATE:
Conduct in-depth analysis of marketing performance data (paid media, CRM) to uncover actionable insights.
Translate data into scalable recommendations that labels and markets can adopt to drive efficiency and ROI.
Partner with the Manager, Artist Insights & Strategy to deliver data-driven playbooks, benchmarks, and frameworks for global campaigns.
Monitor shifts in platforms, fan behavior, and media performance, ensuring insights remain relevant and forward-looking.
Support the team on broader analysis projects around artist development, emerging trends, and shifts in the music landscape.
Proactively identify new opportunities for analysis and bring forward ideas that improve how we measure and optimize marketing impact.
Apply contextual knowledge about artists and the music industry in your data analysis and interpretation.
Collaborate with central Data teams to stay aligned with global initiatives and data pipelines.
Bring your VIBE:
2-3 years of experience in a marketing analytics role, ideally within entertainment, fashion, or media.
Degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline.
Strong technical skills in:
SQL (experience working in large-scale databases required; BigQuery a plus).
Data visualization (Tableau, Looker, Power BI, or similar).
Comfort with handling, cleaning, and interpreting large datasets.
Experience with Python/R is a plus.
Familiarity with marketing analytics frameworks and KPIs (media ROI, engagement, conversion, retention, attribution models, marketing mix modeling).
Team worker, can-do approach.
Commercial mindset, with the ability to balance the rigor of numbers with practical business application.
Strong communicator: can simplify complex analysis into clear, actionable takeaways.
Proactive, collaborative, and comfortable working in a fast-paced, evolving environment.
Passion for music, digital marketing, and the evolving fan ecosystem.