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Music Data Analytics Interns Jobs (NOW HIRING)

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

Through this internship, you'll gain valuable experience in a fast-paced and collaborative ... Experience in quantitative analysis of microdata (aka person-level data) related to economic ...

Data Analytics Intern This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems. The Data Analytics Intern will support our team in building and ...

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

This internship offers a valuable opportunity to gain hands-on experience in the financial industry ... Support the implementation of data analytics solutions and strategies. * Stay updated on industry ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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Music Data Analytics Interns information

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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.
Data Analytics Intern

Data Analytics Intern

Hillpointe

Winter Park, FL โ€ข On-site

$20/hr

Internship

Posted 17 days ago


Job description

WHY HILLPOINTE? Hillpointe is a fully integrated real estate development and investment management firm focused on developing market-rate workforce housing across the Sun Belt. Ranked at the top of NMHC's list of Builders and Developers, our team ensures best-in-class execution.
Built on its long and proven track record of real estate development, the firm's investment approach is centered around its in-house general contracting expertise, enabling direct control of cost and delivery timeframe. For each project, Hillpointe directly controls land acquisition, land development, construction, procurement of building materials, asset management, and capital markets. This is more than just a job - it's a career-defining opportunity! At Hillpointe, you'll be part of a dynamic, innovative team that has tangible impacts on day-to-day operations and contributes directly to overall success.
Data Analytics Intern
This is a paid internship offering $20/hour, with hands-on experience in building scalable data systems.
The Data Analytics Intern will support our team in building and maintaining the data infrastructure that powers reporting and analytics across the organization. This role offers exposure to database design, data integration, and modern cloud platforms. The ideal candidate is technically curious and passionate about building clean, scalable data systems.
KEY RESPONSIBILITIES
  • Assist in designing and maintaining data models that serve as the foundation for Power BI dashboards and reports
  • Build and optimize semantic models, relationships, and calculated measures to support self-service reporting
  • Write and refine SQL queries to extract, transform, and validate data feeding into reporting layers
  • Support the development of data pipelines that consolidate information from multiple operational systems
  • Respond to ad hoc reporting and data requests from leadership, asset management, operations, and finance teams
  • Perform data quality checks and troubleshoot discrepancies between source systems and reports
  • Assist in building and maintaining Power BI workspaces, datasets, and refresh schedules
  • Research best practices in report performance optimization, data modeling, and platform scalability

QUALIFICATIONS
Required
  • Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or a related field
  • Experience with SQL and relational database concepts
  • Basic understanding of data modeling principles
  • Familiarity with Power BI or similar visualization tools
  • Strong attention to detail and organizational skills
  • Effective communication skills with the ability to explain data concepts to non-technical audiences
  • Ability to work in a collaborative, fast-paced environment

Preferred
  • Exposure to DAX, Power Query, or semantic model development
  • Familiarity with cloud data platforms or modern analytics tools
  • Basic experience with Python or scripting for data tasks
  • Interest in data warehousing, Lakehouse architecture, or ETL/ELT concepts
  • Prior experience through internships, academic projects, or bootcamps