2

Entry Level Music Data Analyst Jobs in Raleigh, NC

Be Seen First

Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

New

Be Seen First

Entry-Level Research Associate Location: Chapel Hill, NC Position Type: This is a full-time, hybrid ... Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Financial Analyst I

Morrisville, NC ยท On-site

$23.24 - $33.41/hr

This is an entry level professional position that assists in the preparation of budgets, financial ... Develops strong knowledge of several financial systems and data visualization tools. Assists staff ...

Biologist - Entry Level

Durham, NC ยท On-site

$60K - $80K/yr

... analytical instrumentation, document results, and support data review and interpretation. You will contribute directly to timely, accurate laboratory output while adhering to approved procedures ...

Collects cost data and prepares limited supplier cost/industry analyses. * Supports the Engineering ... Provides entry level sourcing, Enterprise Product Delivery Process (EPDP), Enterprise Order ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

next page

Showing results 1-20

Entry Level Music Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do entry level music data analyst jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for entry level music data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What does a music data analyst do?

A music data analyst collects, organizes, and interprets data related to music consumption, sales, streaming, and audience behavior. They use tools like Excel, SQL, or data visualization software to identify trends and support decision-making for artists, labels, or streaming platforms. Strong analytical skills and knowledge of the music industry are essential for this role.

What is the difference between Entry Level Music Data Analyst vs Entry Level Music Data Coordinator?

AspectEntry Level Music Data AnalystEntry Level Music Data Coordinator
Required CredentialsBachelor's in Music, Data Science, or related field; basic analytical skillsBachelor's in Music, Business, or related field; organizational skills
Work EnvironmentData analysis teams, music labels, streaming platformsMusic production companies, labels, event organizations
Employer & Industry UsageUsed for analyzing music trends, listener data, and salesUsed for managing music assets, scheduling, and data entry

While both roles involve working with music data, the Entry Level Music Data Analyst focuses on analyzing data to inform business decisions, whereas the Entry Level Music Data Coordinator handles organizing and managing music-related information. The analyst role requires more analytical skills, while the coordinator role emphasizes organizational abilities.

What are some common challenges faced by entry level music data analysts, and how can they effectively overcome them?

Entry level music data analysts often encounter challenges such as interpreting large, complex datasets from multiple sources (like streaming platforms, sales, and social media) and translating raw data into actionable insights for stakeholders. Collaborating with cross-functional teams, such as marketing or A&R, can require strong communication skills to present technical findings in an accessible way. To overcome these challenges, new analysts should focus on developing proficiency in data analysis tools, seek mentorship from experienced colleagues, and proactively engage in ongoing learning about industry trends and analytics best practices.

What does an Entry Level Music Data Analyst do?

An Entry Level Music Data Analyst is responsible for collecting, organizing, and analyzing data related to music, such as streaming numbers, listener demographics, and song performance metrics. They use tools like Excel, SQL, and data visualization software to identify trends and provide insights to record labels, artists, or music streaming platforms. Their work helps inform marketing strategies, playlist placements, and business decisions in the music industry. Typically, they collaborate with other analysts, marketing teams, and artists to turn data findings into actionable recommendations.

How much does a Sony music data analyst make?

A music data analyst at Sony typically earns between $50,000 and $70,000 annually, depending on experience and location. Entry-level positions may start lower, while experienced analysts or those with specialized skills can earn higher salaries. Knowledge of data analysis tools like Excel, SQL, or Python is often required.

Can I be a data analyst with no experience?

Entry level music data analyst positions often do not require prior professional experience, but having skills in data analysis tools like Excel, SQL, or Python can be beneficial. Gaining relevant knowledge through online courses or certifications can help you qualify for such roles even without work experience.

What are the key skills and qualifications needed to thrive as an Entry Level Music Data Analyst, and why are they important?

To thrive as an Entry Level Music Data Analyst, you need a solid understanding of data analysis, statistics, and music industry fundamentals, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau), spreadsheet software, and programming languages such as Python or R is typically required. Strong attention to detail, analytical thinking, and clear communication skills help translate complex data into actionable insights for stakeholders. These skills are crucial for providing meaningful analysis that informs decision-making and supports growth in the fast-evolving music industry.

Is 40 too late for data science?

Entry level music data analysts and data science roles often value skills and relevant experience over age. Many professionals transition into data roles later in life, and acquiring skills like programming, statistics, and data visualization can lead to opportunities regardless of age, making 40 not too late to start in data science.
What are the most commonly searched types of Music Data Analyst jobs in Raleigh, NC? The most popular types of Music Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Music Data Analyst jobs in Raleigh, NC? For Entry Level Music Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Music Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Entry Level Music Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Music Data Analyst jobs? Cities near Raleigh, NC with the most Entry Level Music Data Analyst job openings:
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC โ€ข On-site

Other

Posted 14 days ago


Job description

Junior Data Scientist โ€” Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunitiesโ€” Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.