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Overnight Music Data Analytics Jobs (NOW HIRING)

Senior Data Engineer

San Mateo, CA ยท 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 ...

... data infrastructure. * Develops analytical frameworks, roadmaps, and metrics for the team and ... Typically requires overnight travel 20% to 50% of the time. * Education and Experience * Typically ...

... data infrastructure. * Develops analytical frameworks, roadmaps, and metrics for the team and ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

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Overnight Music Data Analytics information

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$153K

$178.7K

$202K

How much do overnight music data analytics jobs pay per year?

As of Jul 20, 2026, the average yearly pay for overnight music data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

How much does a Sony music data analyst make?

A Sony music data analyst typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. The role often requires proficiency in data analysis tools like SQL and Excel, with some positions offering additional benefits or bonuses.

Is there a job that pays you to listen to music?

Overnight Music Data Analytics is a role where professionals analyze music data, but it does not involve simply listening to music for pay. Some related jobs, like music reviewers or playlist curators, may pay for listening, but these are typically freelance or part-time roles. Most data analytics positions focus on analyzing existing data rather than active listening for entertainment purposes.

What does a music data analyst do?

A music data analyst collects, processes, and interprets data related to music consumption, streaming patterns, and audience preferences. They use tools like Excel, SQL, or data visualization software to identify trends and support decision-making for artists, labels, or streaming platforms.

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

AspectOvernight Music Data AnalyticsMusic Data Analyst
Required CredentialsBachelor's in Data Science, Music Industry, or related field; proficiency in analytics toolsBachelor's in Data Science, Music Business, or related; strong analytical skills
Work EnvironmentNight shifts, music industry settings, data centers or officesDay shifts, offices, or remote work in music or media companies
Employer & Industry UsageMusic streaming services, record labels, radio stationsMusic labels, streaming platforms, media agencies

Overnight Music Data Analytics focuses on analyzing music data during night shifts, often for real-time insights, while Music Data Analysts typically work regular hours to interpret music industry data for strategic decisions. Both roles require similar skills but differ mainly in work hours and specific industry applications.

Can a data analyst work at night?

A data analyst can work at night if the employer offers overnight shifts or flexible scheduling. In roles like overnight music data analytics, working during non-standard hours may be required to meet project deadlines or support 24/7 operations, often involving remote work and data analysis tools. Availability for night shifts depends on the company's needs and the analyst's preferences.
What cities are hiring for Overnight Music Data Analytics jobs? Cities with the most Overnight 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 Overnight Music Data Analytics jobs? States with the most job openings for Overnight Music Data Analytics jobs include:
Senior Data Engineer

Senior Data Engineer

Chartmetric

San Mateo, CA โ€ข On-site

$140K - $160K/yr

Full-time

Medical, Dental, Vision

Posted 22 days ago


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)