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Music Data Analytics Interns Jobs (NOW HIRING)

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Chartmetric

Senior Data Engineer

San Mateo, CA · On-site

$140K - $160K/yr

About Chartmetric Chartmetric, Inc. is a 10-year-old startup specializing in music data analytics. We are trusted by Universal MusicGroup, Sony, Warner, and Apple Music, as well as hundreds of other ...

Chartmetric

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 ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

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 ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

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 ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

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 Jul 3, 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.
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Music Data Analytics Interns jobs near you
Data Analytics Intern

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Posted 2 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

349th of 421 rated machine equipment manufacturers

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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