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Music Data Analytics Remote Jobs in Portland, ME

Dutch

Virtual Care Veterinarian (Remote)

Portland, ME · Remote

$50 - $80/hr

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

Arkatechture

Software Engineer

Portland, ME · On-site +1

$90K - $100K/yr

Remote Compensation: $90,000 - $100,000 / year Description Why Work Here? At Arkatechture, we have ... data. Whether it's modernizing infrastructure, building analytics platforms, or leveraging AI for ...

Arkatechture

Software Engineer

Portland, ME · On-site +1

... data. Whether it's modernizing infrastructure, building analytics platforms, or leveraging AI for ... A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ...

Arkatechture

AWS Cloud Infrastructure Engineer

Portland, ME · On-site +1

$90K - $115K/yr

Remote Compensation: $90,000 - $115,000 / year Description CLOUD PLATFORM & INFRASTRUCTURE Design ... data. Whether it's modernizing infrastructure, building analytics platforms, or leveraging AI for ...

Anchour

Front-End Developer (Remote)

New Gloucester, ME · Remote

$106K - $123K/yr

Custom WordPress, from-scratch Shopify themes, and the data layers and integrations that do the ... analytics and tag stack. The plumbing that turns a site into a working tool. * Hold the line on ...

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Showing results 21-40

All JobsMusic Data Analytics JobsMusic Data Analytics Remote JobsMusic Data Analytics Remote Jobs in Portland, ME

Music Data Analytics Remote information

See Portland, ME salary details

$25

$56

$96

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

As of Aug 22, 2026, the average hourly pay for music data analytics remote in Portland, ME is $56.01, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $63.46 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.

What are popular job titles related to Music Data Analytics Remote jobs in Portland, ME?

For Music Data Analytics Remote jobs in Portland, ME, the most frequently searched job titles are:

What job categories do people searching Music Data Analytics Remote jobs in Portland, ME look for?

The top searched job categories for Music Data Analytics Remote jobs in Portland, ME are:

Music Data Analytics Remote jobs near you
Infographic showing various Music Data Analytics Remote job openings in Portland, ME as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,506 per year, or $56 per hour.

Remote Opportunity - Take Back Control of Your Time

Global Elite Empire Consultants

Scarborough, ME • Remote

Full-time

Posted 7 days ago

Job description

If you're tired of:

  • Requesting time off
  • Sitting in traffic
  • Having your income capped

This might be what you've been looking for.

Seeking individuals who are ready to take control of their schedule and income by helping clients who have already requested information about their benefit options.

No cold calling. No micromanagement. Just a system that works if you do.

What You'll Do

  • Speak with interested clients
  • Walk them through simple options
  • Help them get set up

What You Get

  • Remote work
  • Flexible hours
  • Performance-based income (no cap)
  • Training and mentorship

Ideal Fit
Someone who is done trading time for money and ready to bet on themselves.

*All interviews will be conducted via Zoom video conferencing

(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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