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Overnight Music Data Analytics Jobs (NOW HIRING)

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 ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Leverage innovative analytical techniques to uncover patterns and trends in data. Utilize data ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

Experience with transportation data (domestic & import) * Ability to analyze large datasets and ... Typically requires overnight travel less than 10% of the time. * Education and Experience

... Analysis & Data Storytelling Omni Channel Experience Business Acumen Experience AI Analysis ... Typically requires overnight travel 20% to 50% of the time. * Education and Experience * Typically ...

... Analysis & Data Storytelling Omni Channel Experience Business Acumen Experience AI Analysis ... Typically requires overnight travel 20% to 50% of the time. Education and Experience * Typically ...

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Overnight Music Data Analytics information

See salary details

$153K

$178.7K

$202K

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

As of May 28, 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.

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.

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 Product Manager

Senior Data Product Manager

Chartmetric

San Mateo, CA • On-site

$125K - $140K/yr

Full-time

Posted 15 days ago


Job description

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 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.
We're looking for a senior product manager who thinks like an analyst, operates like an owner, and moves fast. This is an individual contributor role.
This role is ideal for someone who started their career deep in data analytics before transitioning into product management. Someone who is equally comfortable digging through datasets & writing queries & automation scripts, talking to customers, shaping strategy, and shipping product.
Please note this is a hybrid position for either our San Mateo, CA, or New York, NY office.
You should have strong instincts around data products, audience behavior, and AI tooling - ideally within sports, music, ticketing, live events, pricing, media, or entertainment ecosystems.
Most importantly: we want a go-getter. Someone highly proactive, resourceful, curious, AI-forward, and obsessed with getting things done.
What you'll do
  • Drive the roadmap and execution of key problem areas and opportunity areas at Chartmetric
  • Engage with customers to deeply understand workflows, pain points, and business decisions
  • Translate ambiguous problems into scalable product opportunities
  • Partner closely with engineering, data, and customer support teams
  • Create user analytics dashboards and music analytics dashboards
  • Use AI-native workflows/tools to move faster: prototype ideas, and execute ideas to solutions
  • Drive momentum & rapid iteration in fast-moving environments
  • You are always looking for opportunities to automate or toolify manually repetitive workflows

What We're Looking For
  • 4+ years in Product Management, ideally focused on data-heavy or analytics products
  • Earlier career experience as a Data Analyst, Analytics Engineer, or similar roles
  • Strong SQL/data fluency and analytical rigor
  • Very much comfortable with building AI proof of concepts using LLM APIs, scripts and AI assisted development
  • You naturally jump into problems instead of waiting for perfect direction
  • Exceptional critical thinking and communication skills
  • Ability to operate "full stack" across customer discovery, execution & analytics
  • Highly self-directed with strong ownership mentality
  • AI-forward: you actively use modern AI tools to think, work, analyze, and build faster
  • You can ship things fast, and don't mind getting your hands dirty to QA and test rigorously

Bonus Points
  • Experience with revenue, ticketing, pricing, forecasting, audience, or monetization datasets is a major plus
  • Familiarity with sports business, live entertainment economics, or fan engagement ecosystems
  • Experience building internal analytics tools, customer-facing dashboards, or AI-assisted workflows
  • Startup or high-growth company experience.
  • Familiarity with Clickhouse / Snowflake or equivalent data warehousing technologies and AWS

Why This Role
  • You'll help shape the next generation of intelligence products at the intersection of data, AI, music, sports, entertainment, and audience growth, turning massive amounts of fragmented data into products customers actually act on.

The pay range for this role is:
125,000 - 140,000 USD per year (New York)
125,000 - 140,000 USD per year (San Mateo)