1

Internship Music Data Analytics Jobs in Raleigh, NC

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 ...

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 ...

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 ...

... interns, and the quality control team-needed to oversee statistical and analytical data analysis with a focus on data quality and integrity. As a key technical leader supporting Intelligize ...

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 ...

next page

Showing results 1-20

Internship Music Data Analytics information

See Raleigh, NC salary details

$11

$21

$40

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 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 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.
What are the most commonly searched types of Music Data Analytics jobs in Raleigh, NC? The most popular types of Music Data Analytics jobs in Raleigh, NC are:
What job categories do people searching Internship Music Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Internship Music Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Music Data Analytics jobs? Cities near Raleigh, NC with the most Internship Music Data Analytics job openings:
Infographic showing various Internship Music Data Analytics job openings in Raleigh, NC as of July 2026, with employment types broken down into 13% Internship, 25% Full Time, 25% Part Time, and 37% Temporary. Highlights an 75% In-person, and 25% Hybrid 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 20 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.