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Internship Music Data Analytics Jobs (NOW HIRING)

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 ...

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 ...

Gnw

Data Analytics Intern - Summer 2027

Richmond, VA

$23 - $26/hr

Our interns will collaborate with cross-functional teams to extract, analyze, and interpret large data sets that drive business decisions and strategic initiatives. Responsibilities include assisting ...

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

As of Jul 19, 2026, the average hourly pay for internship music data analytics 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 is the difference between Internship Music Data Analytics vs Music Data Analyst?

AspectInternship Music Data AnalyticsMusic Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant programBachelor's or higher in data science, analytics, or related field
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time professional role, project-driven
Employer & Industry UsageMusic companies, labels, streaming services for trainingMusic industry companies, analytics firms, streaming platforms

Internship Music Data Analytics positions are entry-level, focused on learning and gaining experience in music data analysis. Music Data Analysts are full-time professionals responsible for analyzing music data to inform business decisions. Internships serve as a stepping stone toward a career as a Music Data Analyst, which requires more experience and advanced skills.

What types of projects or tasks can I expect to work on during a Music Data Analytics internship?

As a Music Data Analytics intern, you can expect to work on projects such as analyzing streaming trends, developing data visualizations, and supporting the evaluation of listener demographics for marketing or A&R teams. You'll likely collaborate with other analysts, data scientists, and sometimes product managers or marketing teams to extract insights from large music datasets. Typical tasks might include cleaning and organizing data, building dashboards, and helping to generate reports that inform business or creative decisions. This hands-on experience will give you an understanding of both the technical and strategic side of data analytics within the music industry.

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

To thrive as an Internship Music Data Analytics, you need a solid grounding in statistics, data analysis, and familiarity with the music industry, often supported by coursework in data science or music business. Proficiency with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present insights clearly. These abilities are crucial for transforming complex music data into actionable strategies that support business decisions.

What is an Internship in Music Data Analytics?

An Internship in Music Data Analytics is a temporary position, often for students or recent graduates, where you work with music industry data to uncover trends, patterns, and insights. Interns typically analyze streaming numbers, audience demographics, and social media metrics to help artists, labels, or platforms make data-driven decisions. The role combines analytical skills, knowledge of music, and familiarity with data tools like Excel, Python, or specialized analytics platforms. This experience is valuable for those interested in music business, data science, or both.
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What cities are hiring for Internship Music Data Analytics jobs? Cities with the most Internship Music Data Analytics job openings:
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Internship Music Data Analytics jobs near you
Infographic showing various Internship Music Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Data Analytics Intern

Data Analytics Intern

TrinityRail

Dallas, TX • On-site

Part-time

Re-posted 17 days ago

TrinityRail rating

6.4

Company rating: 6.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

123rd of 149 rated vehicle equipment hire

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.

Qualifications
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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