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Music Data Analytics Interns Jobs (NOW HIRING)

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

This internship focuses on analyzing Risk Adjustment healthcare data, performing Precision Recall (PR) calculations, and supporting AI/NLP innovation projects. You'll apply SQL and analytical skills ...

AI, data, and analytics work you will support * Work with AI tools and workflows to support data ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

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Music Data Analytics Interns information

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$12

$22

$42

How much do music data analytics interns jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for music data analytics interns in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects do Music Data Analytics Interns typically work on, and how do these projects contribute to the overall goals of the organization?

Music Data Analytics Interns often work on projects such as analyzing streaming trends, user behavior, and playlist performance to provide actionable insights for marketing and artist development teams. These projects may involve cleaning large datasets, creating visual reports, and developing predictive models to forecast song popularity. Interns frequently collaborate with data scientists, product managers, and A&R teams, ensuring their analyses directly inform business decisions and strategic planning. This hands-on experience not only builds technical skills but also offers a clear understanding of how data drives success in the music industry.

What are the key skills and qualifications needed to thrive as a Music Data Analytics Intern, and why are they important?

To thrive as a Music Data Analytics Intern, you need a strong background in data analysis, statistics, and familiarity with the music industry, typically supported by studies in data science, statistics, or a related field. Proficiency with analytical tools such as Python, R, SQL, and data visualization platforms like Tableau is commonly required. Attention to detail, curiosity, and effective communication skills help interns present insights clearly and collaborate with cross-functional teams. These skills are crucial for transforming complex music data into actionable business insights that drive strategic decision-making.

What are Music Data Analytics Interns?

Music Data Analytics Interns are entry-level professionals who assist in analyzing data related to the music industry, such as streaming trends, listener demographics, and song performance metrics. They work with data sets from platforms like Spotify, Apple Music, or YouTube to identify patterns and insights that can help artists, record labels, and music companies make informed decisions. Their tasks often include cleaning and processing data, creating reports, and supporting research projects under the guidance of experienced analysts. Interns gain hands-on experience with data analysis tools and learn about the business side of the music industry. This role is ideal for students or recent graduates interested in combining music with data science or analytics.
More about Music Data Analytics Interns jobs
What cities are hiring for Music Data Analytics Interns jobs? Cities with the most Music Data Analytics Interns job openings:
What states have the most Music Data Analytics Interns jobs? States with the most job openings for Music Data Analytics Interns jobs include:
Infographic showing various Music Data Analytics Interns job openings in the United States as of May 2026, with employment types broken down into 54% Full Time, 44% Part Time, and 2% Temporary. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Intern - Business Data Analytics

Munich Re

Austin, TX

Other

Posted 20 days ago


Job description

Empower yourself!  Start building your career with a national industry leader!


Why intern at HSB? At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.
HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience.  Below are some of the key experiences and benefits you can expect.
Program Highlights

  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.    
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career! 

Business Data Analytics Intern

  • This role is intended for a graduate-level intern, not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved
  • Intern will work on production-adjacent datasets and deliver outputs that directly inform business and product decisions
  • Internship provides meaningful, resume-grade deliverables rather than exploratory or academic work

Requirements

  • Proficiency in SQL for analytical queries, joins, aggregation, and implementing KPI reporting
  • Working knowledge of data analysis tools such as Python, R, or similar
  • Familiarity with ETL/ELT pipelines and data warehouses (e.g. Snowflake, BigQuery)
  • Exposure to BI / dashboarding tools (e.g., Tableau, Power BI, Looker)
  • Ability to organize, analyze, and summarize datasets with strong attention to detail
  • Graduate student (Master's or PhD) in:
    • Data Analytics
    • Business Analytics
    • Statistics
    • Information Systems
    • Applied Mathematics
    • Computer Science (analytics or data-focused track)

(Graduate-level coursework preferred due to complexity and autonomy of work.)

 

Responsibilities

  • Design and build initial analytical dashboards to support product and services decision-making
  • Build basic ETL pipelines to aggregate data into a warehouse for analysis and dashboards
  • Analyze large datasets related to customer usage, risk signals, and operational performance
  • Develop repeatable reporting frameworks (KPIs, trend analysis, cohort analysis) to replace manual processes
  • Collaborate with stakeholders on data requirements, validations, documentations, and insights
  • Produce executive-ready summaries and visualizations translating data into actionable insights

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.   
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.