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Music Data Analytics Jobs in California (NOW HIRING)

Universal Music Group

Senior Product Manager

Santa Monica, CA · On-site

$142K - $187K/yr

... music to delight and entertain fans around the world. How we LEAD: We seek an experienced and driven Sr. Product Manager - Data Products within the Global Data & Analytics Products team. You are ...

Umusic

Senior Manager, Data Engineering

Santa Monica, CA · On-site

$119K - $161K/yr

... analytics, and AI requirements into scalable data engineering solutions. * Strategic exposure to AdTech and MarTech, with experience in the music/entertainment industry preferred, and the ability to ...

Umusic

Senior Manager, Data Engineering

Los Angeles, CA

$114K - $155K/yr

... analytics, and AI requirements into scalable data engineering solutions. * Strategic exposure to AdTech and MarTech, with experience in the music/entertainment industry preferred, and the ability to ...

California State Jobs

Music Therapy Intern

Patton, CA · On-site

$15 - $20/hr

... data, analyze situations accurately and take effective action, ability to communicate effectively ... music skills in singing while playing guitar and keyboard. All interested candidates that meet the ...

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All JobsMusic Data Analytics JobsMusic Data Analytics Jobs in California

Music Data Analytics information

What is music data analytics?

Music data analytics is the process of collecting, analyzing, and interpreting data related to music consumption, production, and trends. Professionals in this field use tools and techniques to examine streaming numbers, audience demographics, playlist placements, social media engagement, and more. The goal is to uncover insights that can inform business decisions for artists, record labels, streaming services, and marketers. Music data analytics helps stakeholders understand listener behavior, predict hit songs, optimize marketing strategies, and maximize revenue within the music industry.

What are the key skills and qualifications needed to thrive as a music data analyst, and why are they important?

To thrive as a Music Data Analyst, you need strong analytical skills, a background in statistics or mathematics, and experience with data-driven decision-making, often supported by a relevant degree. Proficiency with data analysis tools like Python, R, SQL, and music industry platforms such as Spotify for Artists or Billboard analytics is typically required. Excellent communication, creativity, and problem-solving abilities help translate complex data insights into actionable strategies for artists and labels. These skills are crucial for identifying trends, informing marketing strategies, and driving the success of music releases in a competitive industry.

What are some common challenges faced by professionals in music data analytics, and how can they be addressed?

Professionals in Music Data Analytics often encounter challenges such as integrating disparate data sources, handling large and complex datasets, and keeping up with rapidly evolving music consumption trends. Addressing these challenges typically involves developing strong data-cleaning skills, staying updated on the latest analytics tools, and collaborating closely with IT, marketing, and A&R teams to ensure data insights are actionable. Additionally, communicating findings effectively to non-technical stakeholders is crucial for driving impactful decisions in the music industry.

What is the difference between Music Data Analytics vs Music Data Analyst?

AspectMusic Data AnalyticsMusic Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or music technology; proficiency in data analysis toolsBachelor's degree in music, data analysis, or related field; familiarity with analytics software
Work EnvironmentData-driven teams within music companies, streaming services, or tech firmsMusic labels, production companies, or digital platforms
Employer & Industry UsageUsed for strategic insights, audience analysis, and market trendsUsed for interpreting data to inform marketing, production, and artist development

Music Data Analytics focuses on analyzing large datasets to extract insights for strategic decision-making, while a Music Data Analyst applies these insights to specific projects within music companies. Both roles require similar skills but differ in scope and application.

What are the most commonly searched types of Music Data Analytics jobs in California?

The most popular types of Music Data Analytics jobs in California are:

What are popular job titles related to Music Data Analytics jobs in California?

For Music Data Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Music Data Analytics jobs in California look for?

The top searched job categories for Music Data Analytics jobs in California are:

What cities in California are hiring for Music Data Analytics jobs?

Cities in California with the most Music Data Analytics job openings:

Music Data Analytics jobs near you
Infographic showing various Music Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Product Manager

Universal Music Group

Santa Monica, CA • On-site

$142K - $187K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Universal Music Group rating

8.4

Company rating: 8.4 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

14th of 78 rated media

Job description

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.
How we LEAD:
We seek an experienced and driven Sr. Product Manager - Data Products within the Global Data & Analytics Products team. You are passionate about building scalable, high-quality data products that power analytics, machine learning, AI, and intelligent decision-making across UMG. You are equally comfortable discussing customer outcomes with business stakeholders as well as data architecture, pipelines, and semantic models with engineering teams.
You will lead the strategy and execution for data assets that enable trusted, governed datasets for teams across the business. Your work will lay the foundation for advanced ML & AI use cases, experimentation, personalization, automation, and enterprise reporting.
We are looking for a technically minded Product Manager who will partner closely with engineering, analytics, machine learning, governance, and business stakeholders to define products that are trusted, scalable, and AI-ready.
You enjoy working at the intersection of technology, data, and business strategy and are energized by solving complex platform problems and launching AI data products
This role will report to the Sr. Director of Product Management (Data Platform).
How you'll CREATE:
  • Define product strategy for foundational data capabilities, including curated datasets, semantic models, feature stores, APIs, and data services that enable downstream analytics and AI applications
  • Define, track, and report key data product metrics, including adoption, data quality, latency, completeness, and downstream usage.
  • Define and deliver reusable, scalable, well-documented data assets for analytics, BI, ML, and operational use cases.
  • Partner with data engineering, governance, ML Engineering, and analytics teams to define data models, domain boundaries, data contracts, transformation logic, and data quality standards that enable scalable enterprise products.
  • Translate business requirements into technical product requirements, balancing usability, scalability, governance, and long-term platform vision.
  • Ensure data assets are structured to support experimentation, personalization, predictive analytics, and AI initiatives.
  • Support integrations with new data sources to enhance data completeness and enrichment
  • Remove impediments for engineering teams due to unclear requirements, misaligned priorities, or stakeholder ambiguity.
  • Leverage AI-assisted product management practices to accelerate discovery, documentation, prototyping, and delivery while maintaining strong governance and quality standards.

Bring your VIBE:
  • 5+ years of experience building data-intensive products, with a strong technical foundation in data engineering, analytics, or data architecture. Previous hands-on experience in one of these disciplines is highly desirable.
  • Demonstrated ability to earn credibility with highly technical engineering teams while effectively communicating complex concepts to executive and business stakeholders.
  • Strong understanding of modern data architecture, dimensional modeling, semantic layers, data contracts, APIs, and scalable data platform design.
  • Experience partnering closely with data engineering and analytics teams to deliver scalable data solutions.
  • Experience working with modern cloud data platforms, orchestration frameworks, data transformation tools, and metadata/governance platforms
  • Strong SQL skills with the ability to independently validate data, investigate issues, and collaborate effectively with engineers during solution design.
  • Experience in defining and measuring data quality and governance standards
  • Comfortable discussing architectural tradeoffs with engineers and understand how platform decisions impact scalability, performance, governance, and downstream AI use cases.
  • Strong stakeholder management and executive communication skills
  • Comfortable operating in ambiguity and driving alignment across diverse teams
  • Previous experience as a management consultant a plus
  • Strong storyteller and systems thinker
  • Knowledge of the music and label business a plus

Perks Playlist:
Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):
  • Comprehensive medical, dental, and vision coverage
  • Including 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 an additional UMG contribution

A 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 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.
Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
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.
Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.
For more information, please click on the following links.
E-Verify Participation Poster: English / Spanish
E-Verify Right to Work Poster: English | Spanish
Job Category:
Data, Analytics & Business Intelligence
Salary Range:
$84,780 - $160,000
The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

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