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Music Data Analytics Jobs (NOW HIRING)

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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 Aug 22, 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 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.

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:

Infographic showing various Music Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,081 per year, or $40.9 per hour.

Analyst, Commercial Analytics & Data Science

Sirius XM

Manhattan, NY • On-site

Full-time

Re-posted 14 days ago


Job description

Who We Are:
SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXMConnect) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connected devices. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories and music they love wherever they are.
This is the place where a diverse group of emerging talent and legends alike come to share authentic and purposeful songs, stories, sounds and insights through some of the best programming and technology in the world. Our critically-acclaimed, industry-leading audio entertainment encompasses music, sports, comedy, news, talk, live events, and podcasting. No matter their individual role, each of our employees plays a vital part in bringing SiriusXM's vision to life every day.
SiriusXM is the leading audio entertainment company in North America, and the premier programmer and platform for subscription and digital advertising-supported audio products. SiriusXM's platforms collectively reach approximately 150 million listeners, the largest digital audio audience across paid and free tiers in North America, and deliver music, sports, talk, news, comedy, entertainment and podcasts. Pandora, a subsidiary of SiriusXM, is the largest
ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization. The Company's advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers. SiriusXM, through SiriusXM Canada Holdings, Inc., also offers satellite radio and audio entertainment in Canada. In addition to its audio entertainment businesses, SiriusXM offers connected vehicle services to automakers.
The Pathways Program is an early-career development program designed for recent graduates of Historically Black Colleges and Universities (HBCUs). As a Pathways Associate, you will participate in a year-long program focused on accelerating career advancement through mentorship, networking, and learning and development opportunities. Upon completion of the program, Pathways Alumni continue building their careers in their current roles as they Go Higher at SiriusXM.
How you'll make an impact:
As a Pathways: Analyst, Commercial Analytics & Data Science, you'll support the Commercial Analytics team with analytical, machine learning, and forecasting initiatives. These initiatives include developing and advancing internal data & machine learning products, working closely with marketing teams to analyze and interpret data, identify trends and insights, and support the development and implementation of marketing strategies. The ideal candidate will blend strong quantitative skills with a keen business analytics sense and exhibit strong problem solving and critical thinking skills.
What you'll do:
  • Assist the Commercial Analytics team to implement A/B tests and create data-driven insights to continuously optimize business performance and subscriber outcomes.
  • Assist in model development and other data products to support marketing decision making.
  • Perform data extraction by querying databases to answer questions from marketers and provide insights for decision-making.
  • Build automated monitoring systems, dashboards, and alerts to proactively detect issues in model scoring, runtime, cost, and output delivery, including:
    • Ensuring model inputs/predictors are available and up-to-date for each scoring cycle.
    • Verifying that models execute successfully and generate expected outputs.
    • Monitoring downstream delivery of model scores (e.g., into Salesforce) to ensure seamless integration with customer journeys.
  • Collaborate across CADS, Data Engineering, and MarTech teams to troubleshoot and resolve production issues rapidly, minimizing disruptions to marketing campaigns.
  • Evaluate and integrate new data sources and design pipelines with proper documentation for feature engineering.

What you'll need:
  • Must be a recent graduate from an accredited HBCU (Within the last 2 years, or expected to graduate by June 2026).
  • Strong interest in marketing and a desire to learn about marketing analytics and data science.
  • Excellent time management and attention to detail.
  • Excellent written and verbal communication skills.
  • Interpersonal skills and ability to interact and work with other staff.
  • Willingness to take initiative and to follow through on projects.
  • Ability to work independently and in a team environment.
  • Commitment to "internal client" and customer service principles.
  • Understanding of Machine Learning including concepts such as preprocessing, feature engineering, and training models; and supervised machine learning models such as Logistic Regression, XGBoost, etc.
  • Familiarity with data visualization tools such as Tableau, Power BI or Databricks Apps.
  • Familiarity with Git and/or Bitbucket.
  • Experience with SQL and Python.
  • Understanding of Machine Learning including concepts such as preprocessing, feature engineering, and training models; and supervised machine learning models such as Logistic Regression, XGBoost, etc.
  • Must have legal right to work in the U.S.

At SiriusXM, we carefully consider a wide range of factors when determining compensation, including your background and experience. These considerations can cause your compensation to vary. We expect the base salary for this position to be in the range of $75,000 to $95,900 and will depend on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We encourage all interested candidates to apply.
Our goal at SiriusXM is to provide and maintain a work environment that fosters mutual respect,professionalism and cooperation. SiriusXM is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected byapplicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.
R-2026-04-36