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Music Data Analytics Remote Jobs (NOW HIRING)

Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other ...

Data Analyst

Denver, CO · Remote

$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 ...

Data Monitoring and Analysis: Monitor patients' health data and vital signs transmitted through remote monitoring devices in real-time. Review and analyze data trends, alerts, and abnormal readings ...

Senior Data Analyst

Denver, CO · Remote

$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 ...

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 ...

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin, we are hiring a Director - AI, Data, Analytics to help shape the next generation of our global AI ...

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin, we are hiring a Director - AI, Data, Analytics to help shape the next generation of our global AI ...

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 ...

Health Care Data Analyst - Remote The Research Associate/Health Care Data Analyst provides high ... analytics work related to Medicaid and conducts quantitative analyses supporting health care ...

Healthcare Data Analytics (Data Science, Complex SQL SAS Fusion, Teradata) Minneapolis, MN - Remote What is the specific title of the position? o Sr Data Analyst Work hours (ex. 9am-5pm day/night ...

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 ...

We're hiring an Associate, Provider Data Analytics to join our Network Operations team. Oscar is ... This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ...

We're hiring an Associate, Provider Data Analytics to join our Network Operations team. Oscar is ... This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully ...

We are setting out to transform the global B2B software industry and become the most trusted data ... A/B testing and product analytics. * Remote work permitted five (5) days a week. #LI-DNI #IND-DNS ...

The Data & Analytics Manager is the primary owner of how e2L measures what matters - for partners ... This is a remote position. * Standard work hours are Monday - Friday, 8 a.m. - 5 p.m. with ...

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Music Data Analytics Remote information

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$24

$54

$94

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

As of Jul 8, 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 are the key skills and qualifications needed to thrive as a Music Data Analytics professional working remotely, and why are they important?

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 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 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.

More about Music Data Analytics Remote jobs
What cities are hiring for Music Data Analytics Remote jobs? Cities with the most Music Data Analytics Remote job openings:
What are the most commonly searched types of Music Data Analytics jobs? The most popular types of Music Data Analytics jobs are:
What states have the most Music Data Analytics Remote jobs? States with the most job openings for Music Data Analytics Remote jobs include:
Data Analyst (Remote)

Full-time

PTO

Re-posted 3 days ago


Job description

Job Title: Data Analyst
Work Location: Remote (preference for candidates located in the National Capital Region - DMV)
Clearance Required: TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years)
Position Overview:
We are looking for an experienced Data Analyst to join our team supporting U.S. Customs and Border Protection. As a Data Analyst, you will support robust and repeatable data manipulation, large scale infrastructure for data ingestion, and stunning data visualization for custom client applications.
Role Responsibilities:
  • Responsible for data mining, data preparation, and reporting.
  • Prepare and conduct analyses and studies, needs/gaps assessments.
  • Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
  • Documents and summarizes the results and develops and recommended solutions to the customer's problems.
  • Prepares big data, implements data models developed by others, and provides database support for customer solutions.
  • Key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Requirements:
  • Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.
  • Bachelor's Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master's degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
  • Knowledge of data mining methods, databases, data visualization and machine learning.
  • Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA)
  • Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs.
  • Ability to communicate analysis techniques, concepts, and products.
  • Ability to develop data-driven analysis and reports based on data visualizations and data models.
  • Strong SQL skills, and ability to identify issues with data.
  • Experience with Qlik.
  • Experience with Tableau.
  • Experience with PowerBI tools.
  • Familiarity with Databricks or similar cloud-based distributed database technologies
  • Understanding of database and database design
  • Demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
  • Demonstrated experience within an AWS environment (AWS certifications preferred)
  • Familiarity with industry best-practices for software-hardware optimization when processing large sets of data.
  • Ability to travel to and work on site at clients as needed.
  • Excellent communication skills both verbal and written.

Preferred Experience and Skills:
  • Expertise with Qlik.
  • Experience with machine learning, with statistical modeling, time-series forecasting and/or geospatial analytics.
  • Experience with Hadoop, Spark or other parallel storage/computing processes.

Why apply to this position at Elder Research?
  1. Competitive Salary and Benefits
  2. Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States.
  3. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
  4. Remote Work: in an industry of declining remote work opportunities.
  5. People-Focused Culture: we prioritize work-life-balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement.
  6. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

About Elder Research, Inc
People Centered. Data Driven
Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
Elder Research believes in continuous learning and community - each week the entire company attends a "Tech Talk" and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Elder Research is a Government contractor and many of our positions require US Citizenship.