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Music Data Analytics Interns Jobs in Raleigh, NC

Digital Analyst Internships

Raleigh, NC · On-site

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Digital Analyst Internships

Durham, NC · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Bachelor's degree in Business, Economics, Finance, Statistics, or related field * 0-3 years of experience in strategy, consulting, business operations, or data analysis (internship experience ...

This internship provides hands-on experience in the administration of local, state, and federal ... Conducts research and data analysis related to voter registration trends, turnout statistics, and ...

Attention todetail and commitment to data integrity Possible Internship Roles Copywriter | Data Analyst | Digital Project Manager | Evaluation Specialist | GIS Analyst | Graphic Designer / Product ...

Attention todetail and commitment to data integrity Possible Internship Roles Copywriter | Data Analyst | Digital Project Manager | Evaluation Specialist | GIS Analyst | Graphic Designer / Product ...

Familiarity with requirements gathering, documentation, or systems analysis concepts (academic or internship experience) * Foundational awareness of data concepts (e.g., data flows, data validation ...

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Music Data Analytics Interns information

See Raleigh, NC salary details

$11

$21

$40

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

As of Jul 26, 2026, the average hourly pay for music data analytics interns in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 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.
Infographic showing various Music Data Analytics Interns job openings in Raleigh, NC as of June 2026, with employment types broken down into 3% As Needed, 73% Full Time, 10% Part Time, 1% Temporary, and 13% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $45,502 per year, or $21.9 per hour.

Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

Celonis

Raleigh, NC

$111K - $133K/yr

Other

Posted 27 days ago


Job description

The Team: Global Value Engineering Center of Excellence

Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business, partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges.

We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship. 

The Role: Launch Your Enterprise Software Career

Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.

Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:

  • Building and coding within the Celonis platform (SQL and PQL)
  • Scoping business and technical requirements
  • Effectively handling objections
  • Developing industry domain knowledge
  • Delivering impactful presentations and demos
  • Understanding value selling and realization
  • Managing customer accounts

What You'll Do:

  • Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
  • Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.
  • Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
  • Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers' strategy, business initiatives, and challenges
  • Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
  • Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
  • Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
  • Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.

Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives.

  • Partner with the implementation services team to ensure successful value realization for customers.
  • Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development.
  • Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.

What You Need:

  • Bachelor's degree in Engineering, Data Analytics, Industrial Engineering, Computer Science, Mathematics, or a related STEM field.
  • Extensive internship experience or 1-3 years of full-time work experience.
  • Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution.
  • A strong passion for technology, big data, and its transformative potential.
  • Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
  • A customer-centric mindset with a focus on delivering value.
  • The ability to build relationships with senior management and influence decision-making.
  • Confidence in presenting to diverse audiences.
  • A proactive approach to problem-solving, with a willingness to learn from mistakes.
  • Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
  • Strong organizational skills with the ability to prioritize and execute on deadlines.
  • Excellent communication skills and fluency in English.

Bonus Points:

  • GPA of 3.6 or higher.
  • Degree in Computer Science or Data Science or a similar field.
  • Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills.
  • Experience with Python and Machine Learning.
  • Customer-facing, customer success/service, or sales experience.
  • Experience with Proof of Concept projects.
  • Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
  • Finance process experience (Accounts Payable, Accounts Receivable).
  • Experience modeling ROI and TCO for business case justification.
  • Experience with SAP and/or Oracle.
  • Fluency in French and/or Spanish.

Visa sponsorship is not offered for this role.