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Music Data Analytics Jobs (NOW HIRING)

Chartmetric

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

About Chartmetric Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, Sony, Warner, and Apple Music, as well as hundreds of other ...

Chartmetric

Senior Data Product Manager

San Mateo, CA · On-site

$125K - $140K/yr

Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal Music Group, Sony, Warner, and Apple Music, as well as hundreds of other music companies ...

Chartmetric

Client Success Engineer (Remote)

$80K - $100K/yr

About Chartmetric Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal Music Group, Sony, Warner, and Apple Music, as well as hundreds of other ...

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 ...

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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 May 30, 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.
Senior Data Engineer

Senior Data Engineer

Chartmetric

San Mateo, CA • On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision

Posted yesterday

Job description

About Chartmetric
Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, Sony, Warner, and Apple Music, as well as hundreds of other music companies and industry professionals. Our team has created a self-service data dashboard for the music industry to better understand the activity happening around artists. Together, we combine hundreds of thousands of real-time data points across iTunes, Spotify, YouTube, Google, Amazon, X, and others through our beautifully designed tool in order to make sense of the increasingly complex landscape of the music industry.
What you'll do
  • Build and optimize ETL pipelines processing data for 10M+ artists, 100M+ tracks, 15M+ playlists, and comprehensive music industry metrics
  • Design scalable data ingestion systems to integrate emerging streaming platforms and social media services into our analytics infrastructure
  • Architect and maintain our multi-cloud data ecosystem spanning AWS RDS, Elasticsearch, Clickhouse, and Snowflake
  • Develop production-ready Python applications and complex PostgreSQL queries deployed across distributed systems
  • Collaborate with Data Scientists to transform raw music data into actionable insights that drive strategic decisions for artists, labels, and industry professionals
  • This position is hybrid and will be in office 3/4 times a week in our San Mateo or New York office

Who You Are
  • 6+ years of hands-on experience building production data systems, preferably in high-volume consumer or entertainment industries
  • Expert-level proficiency in Python, PostgreSQL, Apache Airflow, Clickhouse, Snowflake, Elasticsearch, Apache Spark, and AWS ecosystem
  • Proven track record of designing fault-tolerant, high-throughput data pipelines handling millions of records daily
  • Strong communication skills with ability to translate complex technical concepts to cross-functional stakeholders
  • Bachelor's degree in Computer Science, Data Engineering, or equivalent practical experience
  • Thrives in dynamic startup environments with rapidly evolving requirements and tight delivery timelines
  • Bonus: Experience with music industry data, streaming APIs, or social media analytics platforms

What We Offer
  • Competitive salary and equity package
  • Comprehensive health, dental, and vision insurance
  • Opportunity to shape developer experience across the organization
  • Access to cutting-edge tools and technologies

Team Culture
  • We believe that great developer experiences lead to better products and happier teams. Our DevOps/DX team operates as enablers and force multipliers, working collaboratively to remove friction from the development process. We value automation, measurement, and continuous improvement, always asking "how can we make this better for our developers?"

The pay range for this role is:
140,000 - 160,000 USD per year (New York)
140,000 - 160,000 USD per year (San Mateo)

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