Universal Music Group
is hiring
Data Analyst
About Our Company
Universal Music Group (UMG) is the world leader in music-based entertainment, with a broad array of businesses engaged in recorded music, music publishing, merchandising and audiovisual content in more than 60 countries. Featuring the most comprehensive catalog of recordings and songs across every musical genre, UMG identifies and develops artists and produces and distributes the most critically acclaimed and commercially successful music in the world. Committed to artistry, innovation and entrepreneurship, UMG fosters the development of services, platforms and business models in order to broaden artistic and commercial opportunities for our artists and create new experiences for fans.
Universal Music Group's labels include A&M Records, Astralwerks, Blue Note Records, Capitol Christian Music Group, Capitol Records, Capitol Records Nashville, Caroline, Decca, Def Jam Recordings, Deutsche Grammophon, Disa, Emarcy, EMI Records Nashville, Fonovisa, Geffen Records, Harvest, Interscope Records, Island Records, Machete Music, MCA Nashville, Mercury Nashville, Mercury Records, Motown Records, Polydor Records, Republic Records, Universal Music Latino, Verve Label Group, Virgin Records, Virgin EMI Records, as well as a multitude of record labels owned or distributed by its record company subsidiaries around the world. UMG's catalog is marketed through two distinct divisions, Universal Music Enterprises (in the U.S.) and Universal Strategic Marketing (outside the U.S.).
UMG also includes Universal Music Publishing Group, one of the industry's premier music publishing operations worldwide and Bravado, the leading provider of consumer, lifestyle and branding services to recording artists and entertainment brands around the world. Universal Music Group is a Vivendi company.
Job Description & Responsibilities
How You'll CREATE
- Discover, track, and analyze developing songs and artists using data-driven methods
- Develop and update statistical models and metrics to aid in artist discovery, evaluation, and performance forecasting
- Build and maintain automated reports, dashboards, and internal data applications
- Use internal and external data sources to perform detailed research and analysis on Island’s artists, releases, and marketplace trends to determine how we can better leverage data to make decisions
- Work with A&R, Commerce, Marketing, and Digital teams to understand department needs and provide insights
Requirements
Bring Your VIBE
- Proficient in Python and SQL
- Knowledge of statistics and probability
- Ability to provide answers to loosely defined questions and provide actionable insights
- Strong communication skills, comfortable relaying insights to both technical and non-technical audiences
- Ability to work in an environment with multiple and shifting priorities and deadlines
- Experience working with music data
- Avid music fan
- 0-3 years of relevant experience
- Bachelor’s Degree, preferably in Statistics, Computer Science, Mathematics, Economics, or another quantitative discipline
What we offer
Perks Playlist
- Be part of an entrepreneurial, global organization that values authenticity, drive, creativity, relationships, and a competitive spirit
- Comprehensive medical, dental, vision, and FSA options,
As well as:
- 100% coverage for out-patient mental health services
- Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
- A lifetime fertility support allowance of $30,000 to plan participants
- Student Loan Repayment Assistance and Tuition Reimbursement
- 100% immediately vested 401(k) match on the first 5% of your contribution on eligible compensation
Variety of ways to prioritize much-needed time away from work including:
- Flexible Paid Time Off (PTO) for exempt employees
- 3-weeks PTO for non-exempt employees
- 2-weeks paid Winter Break
- 10 Paid Holidays (including Juneteenth and Wellbeing Day)
- Summer Fridays (between Memorial Day and Labor Day)
- Generous paid parental leave for every type of parent
