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Entry Level Music Data Analytics Jobs (NOW HIRING)

Downtown Music Publishing

Data Engineer

Nashville, TN · On-site +1

$135K/yr

Maintain, improve, and scale the company's enterprise data platform, a music rights data management, analytics, and workflow ecosystem * Ensure compliance with industry data standards and best ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Experience with laboratory analytical data packages and electronic data reports * Experience using ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Dhalite Inc.

Entry-Level Business Analyst

Atlanta, GA · On-site

We are seeking a motivated Entry-Level Business Analyst to join our team. This is a great ... Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics ...

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Entry Level Music Data Analytics information

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$13

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$61

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

As of Aug 2, 2026, the average hourly pay for entry level music data analytics in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Music Data Analytics professional, you need a solid background in data analysis, statistics, and music industry knowledge, typically supported by a degree in data science, statistics, or a related field. Familiarity with data analytics tools like SQL, Python, Excel, and music-specific platforms such as Spotify for Artists or Soundcharts is highly valuable. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to various stakeholders. These skills are crucial for making data-driven decisions that can influence marketing, distribution, and content strategies in the music industry.

What are entry level music data analytics jobs?

Entry level music data analytics jobs involve collecting, processing, and analyzing data related to music consumption, sales, streaming, and audience engagement. These roles typically support music labels, streaming services, or marketing teams by providing insights into listener preferences, song or artist performance, and market trends. Responsibilities may include managing databases, creating reports, and assisting senior analysts with research to help inform business decisions. Strong skills in data analysis tools and a passion for music are often important for success in this field.

How much does a Sony music data analyst make?

A music data analyst at Sony typically earns between $50,000 and $80,000 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 SQL and Excel is often required for this role.

How to get a job in the music industry with no experience?

Entry level music data analytics roles often require strong analytical skills, familiarity with data tools like Excel or SQL, and a basic understanding of music industry trends. Gaining experience through internships, online courses, or personal projects can improve your chances, and networking within the industry can help you find opportunities without prior experience.

What is the difference between Entry Level Music Data Analytics vs Entry Level Music Data Analysis?

AspectEntry Level Music Data AnalyticsEntry Level Music Data Analysis
CredentialsBasic knowledge of data analytics tools, music industry understandingSimilar credentials, often including basic statistics and data tools
Work EnvironmentMusic companies, streaming services, record labelsMusic industry settings, digital platforms, marketing teams
Employer UsageAnalyzing listener data, trends, and marketing insightsInterpreting music consumption data, supporting content decisions

Both roles involve analyzing music-related data but may differ slightly in focus. Entry Level Music Data Analytics emphasizes broader data analysis skills within the music industry, while Entry Level Music Data Analysis may focus more on interpreting specific music consumption data. Both positions require foundational data skills and industry knowledge, making them closely related entry-level roles in the music data field.

Can I get into data analytics with no experience?

Entry level music data analytics roles typically require some familiarity with data analysis tools like Excel or SQL, but many employers are open to candidates with little or no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses or certifications can improve your chances of entering the field. Internships or entry-level positions often provide on-the-job training for beginners.

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

Entry-level music data analysts often encounter challenges such as interpreting large and complex datasets, keeping up with evolving music industry trends, and communicating technical findings to non-technical stakeholders. To overcome these challenges, it's important to develop strong foundational skills in data analysis tools (like Python, R, or SQL) and stay updated on industry metrics such as streaming trends and chart analytics. Additionally, collaborating closely with other departments, such as marketing or A&R, can help bridge the gap between data insights and business decisions, ultimately making your analysis more actionable and impactful.

What does a music data analyst do?

A music data analyst collects, processes, and interprets data related to music consumption, streaming, sales, 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.
More about Entry Level Music Data Analytics jobs
What cities are hiring for Entry Level Music Data Analytics jobs? Cities with the most Entry Level Music Data Analytics job openings:
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Entry Level Music Data Analytics jobs near you
Infographic showing various Entry Level Music Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Data Engineer

Downtown Music Publishing

Nashville, TN • On-site, Remote

$135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Data Engineer

Downtown Music Publishing is seeking a Data Engineer to be a key contributor to the design, development, and management of our global music data platform and ecosystem that spans variable databases, technologies, products, and customers. This role will be responsible for advanced development of our enterprise data platform. The platform orchestrates the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets, databases, API endpoints, products, dashboards, and reports. This position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.

**This position can be located remotely or in any of our offices in New York, Nashville, Los Angeles, or Portland, OR.** 

What you\'ll do: 
  • Collaborate with business, technology, and product teams to deliver data-driven products, services, and initiatives
  • Evaluate, design, build, implement, and manage scalable, cloud-based databases, frameworks, pipelines, integrations, and environments that facilitate the secure, automated management, governance, synchronization, workflow, analytics, and reporting of data across internal systems, products, customers, and 3rd party data providers 
  • Maintain, improve, and scale the company’s enterprise data platform, a music rights data management, analytics, and workflow ecosystem 
  • Ensure compliance with industry data standards and best practices  
  • Develop, document, test, and manage logical and physical models as well as data lifecycle strategies and data-related SOPs
  • Create and maintain test data, and perform/test upgrades, code changes, and bug fixes
  • Manage daily monitoring of data jobs and queues and troubleshoot/resolve errors 
  • Share knowledge and promote the professional growth of team members through collaboration and mentorship
You are / have: 
  • A minimum of 3 years of relevant data engineering experience in an enterprise production environment 
  • Bachelor’s degree or demonstrable equivalent experience in a professional engineering or technical discipline such  as Computer Science, Mathematics, Statistics 
  • Expertise in RDBMS (PostgreSQL experience preferred) and at least one other relational or non-relational data platform (e.g., MongoDB, Snowflake, Redshift, etc.) 
  • Experience with data modeling, performance tuning, scalability/capacity planning, and backup/recovery
  • Experience designing, deploying, and managing production enterprise data on AWS using some/all of the following  AWS services: S3, EC2, ECS, RDS, DynamoDB, Lambda, Glue, Elasticsearch, Kinesis 
  • Expertise in writing efficient and reliable SQL and Python code 
  • Experience with designing, developing, and managing custom ETL/ELT pipelines  
  • Experience creating, implementing, and using REST APIs  
  • Experience with automating the processing of XML, JSON, and delimited data files  
  • Experience with Data Warehouse / Data Lake design, BI reporting, and data visualization tools
  • Experience with Agile/CI software development methodologies 
  • Must be proactive in root cause analysis, problem solving, and mitigation 
  • Must be proactively communicative and possess strong verbal and written communication skills in English
  • Preferred Experience with music data and music data standards (DDEX, CWR) 
Why you want to work here: 
  • Be part of a successful and expanding company in the music industry 
  • The opportunity to work in a collaborative environment full of innovative, passionate, and happy people 
  • The opportunity to drive experimentation with new development technologies to help solve our particular engineering challenges 
  • Ample opportunities to work collaboratively across our various businesses 
  • Collaborative, open, welcoming, and inclusive culture 
  • Rich benefit program, Life Insurance, 401k (with match) 
  • Paid Volunteer Hours

Ensuring a diverse and inclusive workplace where we learn from each other is core to Downtown\'s values. We welcome and encourage all applicants of different backgrounds, experiences, abilities and perspectives to apply.

Downtown provides base salary ranges for all positions located in the United States at the time of posting. The hiring range for this position up to $135,000 annually. As a candidate for this position, your salary and related elements of compensation will be contingent upon various factors including, but not limited to, work experience, geographic location and relevant skills. Downtown is committed to providing a comprehensive market-competitive total rewards program for its employees which includes medical, dental, and vision, life insurance, 401(k) match and generous paid time off. This range does not include any other variable compensation components.

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