2

Entry Level Music Data Analytics Jobs (NOW HIRING)

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

Associate Data Analyst

Orlando, FL · On-site

$22 - $24/hr

Bachelor s degree required. * entry level candidates and entry-level candidates are encouraged to apply. * Experience or coursework in financial services, retail banking, data analytics, controls ...

We are seeking a motivated Entry-Level Business Analyst to join our growing team. This is an ... Data Analytics, Business Analytics, Statistics, or a related field • 0-2 years of experience or ...

next page

Showing results 1-20

Entry Level Music Data Analytics information

See salary details

$13

$32

$61

How much do entry level music data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level music data analytics in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is an entry level music data analytics job?

Entry level music data analytics jobs involve collecting, processing, and analyzing data related to music consumption, sales, streaming, and audience engagement. These roles typically support music labels, streaming services, or marketing teams by providing insights into listener preferences, song or artist performance, and market trends. Responsibilities may include managing databases, creating reports, and assisting senior analysts with research to help inform business decisions. Strong skills in data analysis tools and a passion for music are often important for success in this field.

What are the key skills and qualifications needed to thrive as an entry level music data analytics professional?

To thrive as an Entry Level Music Data Analytics professional, you need a solid background in data analysis, statistics, and music industry knowledge, typically supported by a degree in data science, statistics, or a related field. Familiarity with data analytics tools like SQL, Python, Excel, and music-specific platforms such as Spotify for Artists or Soundcharts is highly valuable. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to various stakeholders. These skills are crucial for making data-driven decisions that can influence marketing, distribution, and content strategies in the music industry.

What are some common challenges faced by entry level music data analysts, and how can they overcome them?

Entry-level music data analysts often encounter challenges such as interpreting large and complex datasets, keeping up with evolving music industry trends, and communicating technical findings to non-technical stakeholders. To overcome these challenges, it's important to develop strong foundational skills in data analysis tools (like Python, R, or SQL) and stay updated on industry metrics such as streaming trends and chart analytics. Additionally, collaborating closely with other departments, such as marketing or A&R, can help bridge the gap between data insights and business decisions, ultimately making your analysis more actionable and impactful.

What is the difference between Entry Level Music Data Analytics vs Entry Level Music Data Analysis?

AspectEntry Level Music Data AnalyticsEntry Level Music Data Analysis
CredentialsBasic knowledge of data analytics tools, music industry understandingSimilar credentials, often including basic statistics and data tools
Work EnvironmentMusic companies, streaming services, record labelsMusic industry settings, digital platforms, marketing teams
Employer UsageAnalyzing listener data, trends, and marketing insightsInterpreting music consumption data, supporting content decisions

Both roles involve analyzing music-related data but may differ slightly in focus. Entry Level Music Data Analytics emphasizes broader data analysis skills within the music industry, while Entry Level Music Data Analysis may focus more on interpreting specific music consumption data. Both positions require foundational data skills and industry knowledge, making them closely related entry-level roles in the music data field.

More about Entry Level Music Data Analytics jobs

What cities are hiring for Entry Level Music Data Analytics jobs?

Cities with the most Entry Level 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 Entry Level Music Data Analytics jobs?

States with the most job openings for Entry Level Music Data Analytics jobs include:

What job categories do people searching Entry Level Music Data Analytics jobs look for?

The top searched job categories for Entry Level Music Data Analytics jobs are:

Infographic showing various Entry Level Music Data Analytics job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Analyst, Commercial Analytics & Data Science

Sirius XM Radio

Manhattan, NY

Full-time

Re-posted 10 days ago


Job description

Responsibilities

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 largestad-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.

Employment Type: FULL_TIME