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Entry Level Music Data Analyst Jobs (NOW HIRING)

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 ...

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.

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ...

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ...

Podcasting, the fastest-growing new media, today has more monthly users than streaming music ... Support a variety of teams on data analysis. * Support ad hoc projects. What You'll Need: * Four ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

Data Analyst

Richmond, VA · On-site

$62K/yr

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

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Entry Level Music Data Analyst information

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$13

$32

$61

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

As of Jul 28, 2026, the average hourly pay for entry level music data analyst 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 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.
More about Entry Level Music Data Analyst jobs
What cities are hiring for Entry Level Music Data Analyst jobs? Cities with the most Entry Level Music Data Analyst job openings:
What are the most commonly searched types of Music Data Analyst jobs? The most popular types of Music Data Analyst jobs are:
What states have the most Entry Level Music Data Analyst jobs? States with the most job openings for Entry Level Music Data Analyst jobs include:
What job categories do people searching Entry Level Music Data Analyst jobs look for? The top searched job categories for Entry Level Music Data Analyst jobs are:
Infographic showing various Entry Level Music Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% 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 7 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.