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Music Data Analytics Jobs (NOW HIRING)

Apple

Data Incident Analyst

Cupertino, CA · On-site

You are a key driver to facilitate and solve complex problems around our data and analytics products such as App Analytics, Apple Music for Artists, Podcast Connect Analytics. You will help find ...

Umusic

Manager, Data and Analytics

Nashville, TN

We are the world's leading music company. In everything we do, we are committed to artistry ... Reporting to the Vice President, Data and Insights, this role will analyze large datasets across ...

Apple

Data Incident Analyst

Cupertino, CA

$181.10K - $318.40K/yr

You are a key driver to facilitate and solve complex problems around our data and analytics products such as App Analytics, Apple Music for Artists, Podcast Connect Analytics. You will help find ...

Universal Music Group

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

Join the Global Data and Analytics group at Universal Music Group. We are offering US-Remote co-op positions in fall 2026 in the field of data engineering. How we LEAD: Data Engineering: As a member ...

Musixmatch S.p.a

OR · On-site

Exposure to tools like Jira, Coda, Mixpanel similar PM/analytics tooling. Basic SQL or Python skills for data exploration. Experience working in or with music rightsholders, DSPs, or publishing ...

Strategic Employment

Data Analyst

Brooklyn, NY · Hybrid

$100K - $120K/yr

Our client, a technology company in the music and entertainment space, is seeking a Data Analyst to join their growing team. This role will involve collecting and analyzing large datasets to gather ...

Musixmatch S.p.a

Head of Customer Operations

OR · On-site +1

$133.90K/yr

About Musixmatch Musixmatch is the leading music data company, featuring the world's largest lyrics ... analytics, AI tools. * You prefer long planning cycles over shipping fast. What we offer

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Music Data Analytics information

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$20.5K

$85.1K

$174.5K

How much do music data analytics jobs pay per year?

As of Jun 1, 2026, the average yearly pay for music data analytics in the United States is $85,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $120,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Music Data Analytics jobs
What cities are hiring for Music Data Analytics jobs? Cities with the most Music Data Analytics job openings:
What are the most commonly searched types of Music Data Analytics jobs? The most popular types of Music Data Analytics jobs are:
What states have the most Music Data Analytics jobs? States with the most job openings for Music Data Analytics jobs include:
What job categories do people searching Music Data Analytics jobs look for? The top searched job categories for Music Data Analytics jobs are:
Music Data Analytics jobs near you
Infographic showing various Music Data Analytics job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 3% As Needed, 15% Full Time, 62% Part Time, 17% Contract, and 1% Nights. Highlights an 51% Physical, 31% Hybrid, and 18% Remote job distribution, with an average salary of $85,081 per year, or $40.9 per hour.
Data Incident Analyst

Data Incident Analyst

Apple

Cupertino, CA • On-site

Full-time

Posted 26 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Apple Service Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Pay. And they do it at a massive scale, meeting Apple's high expectations with dedication to deliver a variety of entertainment in over 35 languages to more than 150 countries...Do you have a passion for data and how it can be used to improve customer experience, protect user privacy, make products better, and increase revenue for a business? Do you thrive working with data engineers, data scientists and project managers in an agile, distributed and project focused work environment? If so, join us!..Apple is seeking an experienced incident manager/analyst to work on an exciting set of problems outstanding to ASE. You are a key driver to facilitate and solve complex problems around our data and analytics products such as App Analytics, Apple Music for Artists, Podcast Connect Analytics. You will help find interesting data trends, identify root causes, and help transform up-and-coming ideas to products and systems in collaboration with data & analytics engineers, service engineers, project managers, and data scientists. You will do so in an environment that highly values collaboration, mentoring and continuous learning..
* Dive deep into large-scale data quality problems to uncover trends and identify key insights.* Partner with data engineers, data scientists, and project managers to conduct mitigation efforts.* Facilitate cross-functional discussion to find out what is the right technical resolution to the business problems* Improve development and operational cycles to mitigate future issues
5+ years of professional experience, including 3+ years in an analytics or data engineering role and 2+ years in project management (experience may overlap)Strong problem solving skills in complex technical data and analytics productsExcellent communication, collaboration, facilitating skills to drive resolution in cross functional setting,Background in data analytics, proficient in SQL or Python PandasExperience with data visualization tools, such as Tableau, GGplot, Keynote etcFundamental understanding of statistical analysis, forecasting and modelingBachelors or higher degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Operations Research or a related field)
Experience in coding for automation (e.g. Scala, Python, Java etc.)Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.)Familiarity with modern cloud technologies such as KubernetesFamiliarity with software development lifecycle for data science and engineeringFamiliarity with commerce, payments, and user experience datasets at online services

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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