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Music Data Analytics Remote Jobs (NOW HIRING)

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Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Xforia, Inc.

Data Analytics & Technical Analyst"

Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

ECOM

Data Analytics Engineer (Remote)

$117K - $140K/yr

ECOM is seeking a Data Analytics Engineer to join their Digital Team. The role involves assisting with Data Analytics Engineering and requires expertise in Adobe Analytics and A/B Testing.

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Music Data Analytics Remote information

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

As of Aug 29, 2026, the average hourly pay for music data analytics remote in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What is a music data analytics remote job?

A Music Data Analytics Remote job involves analyzing data related to music consumption, trends, and performance from a remote location. Professionals in this role collect and interpret data from streaming platforms, social media, and sales to help artists, labels, and music services make informed decisions. They use statistical tools and data visualization techniques to uncover patterns and insights in music listening behavior. This job typically requires strong analytical skills, knowledge of data tools, and a passion for music and technology.

What are the key skills and qualifications needed to thrive as a music data analytics professional working remotely?

To excel as a Music Data Analytics professional in a remote setting, you need strong analytical skills, proficiency in statistics, and a background in data science or music business. Familiarity with tools like SQL, Python, R, Tableau, and music industry databases is typically required, along with experience using analytics platforms. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for translating data insights and collaborating virtually with stakeholders. These competencies are vital for extracting actionable insights from music data, driving business decisions, and thriving in a distributed work environment.

What are some common challenges faced by remote music data analytics professionals, and how can they be addressed?

Remote Music Data Analytics professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and staying aligned with fast-paced changes in the music industry. To address these, it's important to establish clear communication channels with team members, utilize cloud-based data management tools, and participate in regular virtual meetings to stay updated. Developing strong self-management skills and leveraging collaborative platforms can also help ensure smooth project workflows and timely delivery of analytical insights.

What is the difference between Music Data Analytics Remote vs Music Data Analyst?

AspectMusic Data Analytics RemoteMusic Data Analyst
CredentialsBachelor's in Data Science, Music Industry, or related field; experience with analytics toolsBachelor's in Data Science, Statistics, or Music Business; proficiency in data analysis software
Work EnvironmentRemote, flexible hours, often freelance or contract-basedTypically office or remote, full-time or part-time roles in music companies or agencies
Industry UsageUsed by music streaming services, record labels, and analytics firmsCommonly employed within music labels, streaming platforms, and market research firms

Music Data Analytics Remote involves analyzing music industry data remotely, often on a freelance basis, focusing on insights for streaming and marketing. Music Data Analyst roles are more traditional, full-time positions within companies, requiring similar skills but often with more structured work environments. Both roles require strong analytical skills and industry knowledge, but differ mainly in work setting and employment type.

How to become a music data analyst?

To become a music data analyst, you typically need a bachelor's degree in data science, statistics, or a related field, along with strong analytical skills and proficiency in tools like Excel, SQL, and data visualization software. Experience with music industry data, programming languages such as Python or R, and understanding of music metrics can enhance your qualifications. Gaining relevant internships or projects can also help build practical expertise in analyzing music trends and consumer behavior.

Is data analytics a good career for remote work?

Data analytics roles, including those in music data analytics, are well-suited for remote work due to the reliance on digital tools, data analysis software, and cloud-based platforms. These jobs often require strong analytical skills, proficiency in programming languages like Python or R, and the ability to communicate insights virtually, making remote work feasible and common in the field.
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Music Data Analytics Remote jobs near you
Infographic showing various Music Data Analytics Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics & Engineering Opportunities

Washington, DC • On-site, Remote

Career Site
See more jobs at Career Siteexternal

$65K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Venable LLP's Technology & Innovation Group Venable Blueteam seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California regions. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

Seeking professionals skilled in the following:

  • Experience with SQL (Oracle, Vertica, Hive, MySQL, or similar) Python, or R
  • Experience with Business Intelligence tools such as, Tableau, Microstrategy, or similar
  • Ability to present complex findings clearly and work cross-functionally

Venable LLP does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity policy, please click here.

Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Venable's benefits package includes medical, dental, vision, disability, life insurance, flexible spending and healthcare savings accounts, 401(k) with firm profit share, paid vacation and sick time, firm paid holidays, wellness and personal advocacy programs, family planning resources and leave programs, tuition reimbursement, and more. New employees are provided a detailed orientation to the firm's benefit offerings upon hire.

The anticipated base salary for Data Analytics & Engineering positions is $65,000 - 105,000 per year. The actual salary offered will be based on a number of job related factors including, but not limited to, years of related experience, level of education, skills, credentials and certifications, responsibilities and performance. Additional compensation may include discretionary bonuses and overtime, if eligible. Overtime wages earned will be paid in compliance with applicable law.

Venable LLP's Technology & Innovation Group Venable Blueteam seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California offices. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

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