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Music Data Analytics Remote Jobs in Gilbert, AZ (NOW HIRING)

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer ...

AI Consulting Expert - Remote

Phoenix, AZ ยท Remote

$100 - $200/hr

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Senior Data Engineer

Phoenix, AZ ยท Remote

$120K - $135K/yr

Remote - Anywhere in the U.S. Salary: Based on education & experience Schedule: Full-Time | Monday ... You'll collaborate with Data & Analytics, Finance, Billing, Operations, EHR, and leadership teams ...

New

GCP Architect

Chandler, AZ ยท Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

Decision Science Analyst Senior

Phoenix, AZ ยท On-site +1

$87K - $115K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural ...

Tech Ops Analyst

Scottsdale, AZ ยท Remote

$35 - $44/hr

Remote (PST only) Start Date: ASAP Duration: Contract through end of November 2026, with strong ... Jira data hygiene and governance standards, ensuring accurate tagging, prioritization, and ...

Data Scientist

Phoenix, AZ ยท On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Time Type: Full time Remote Type: Job Family Group: Human Resources Summary: The Manager, Talent ... Advanced data-driven mindset with ability to translate analytics into business insights * Advanced ...

Supply Chain Data Analyst

Phoenix, AZ ยท On-site +1

$31 - $33.65/hr

... analytics, materials planning, or a similar analytical role * Strong Excel skills required; SQL ... We offer flexible work options, including remote arrangements, to support the need of the role and ...

New

Business Strategy Analyst Intermediate

Phoenix, AZ ยท On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Demonstrated experience using data analytics to formulate data-driven insights. * Experience ...

Business Strategy Analyst Intermediate

Phoenix, AZ ยท On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Demonstrated experience using data analytics to formulate data-driven insights. * Experience ...

Be Seen First

... Analyst (BCBA) to join a supportive, flexible, and fully remote clinical team. This role offers ... You'll use CentralReach for data collection and collaborate closely with caregivers to deliver ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Data Engineer III

Chandler, AZ ยท Remote

$110K - $132K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Develop and maintain data models to support analytics, reporting, and crossfunctional business ...

Help Desk Analyst Remote

Phoenix, AZ ยท Remote

$21 - $28.75/hr

Job Title: Help Desk Analyst Location: Remote (Phoenix, AZ) Job Type: Contract - 6 Months ... Assists with data integrity compliance audits. Runs reports to show data integrity errors. Works ...

Showing results 21-40

Music Data Analytics Remote information

See Gilbert, AZ salary details

$24

$54

$94

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

As of Aug 21, 2026, the average hourly pay for music data analytics remote in Gilbert, AZ is $54.57, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.83 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 job categories do people searching Music Data Analytics Remote jobs in Gilbert, AZ look for?

The top searched job categories for Music Data Analytics Remote jobs in Gilbert, AZ are:

What cities near Gilbert, AZ are hiring for Music Data Analytics Remote jobs?

Cities near Gilbert, AZ with the most Music Data Analytics Remote job openings:

Infographic showing various Music Data Analytics Remote job openings in Gilbert, AZ as of June 2026, with employment types broken down into 4% Internship, 82% Full Time, 7% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,510 per year, or $54.6 per hour.

Data Scientist

Mondo

Phoenix, AZ โ€ข Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 7 days ago


Job description

Apply now: Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.) Start Date: ASAP Duration: Contract, 6 Months (extension likely) Compensation Range: $65/hr to $75/hr Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship

Job Description: The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape