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Music Data Analytics Remote Jobs in High Point, NC

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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 18, 2026, the average hourly pay for music data analytics remote in High Point, NC is $48.84, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $55.34 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 High Point, NC?

For Music Data Analytics Remote jobs in High Point, NC, the most frequently searched job titles are:

What job categories do people searching Music Data Analytics Remote jobs in High Point, NC look for?

The top searched job categories for Music Data Analytics Remote jobs in High Point, NC are:

What cities near High Point, NC are hiring for Music Data Analytics Remote jobs?

Cities near High Point, NC with the most Music Data Analytics Remote job openings:

Infographic showing various Music Data Analytics Remote job openings in High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,596 per year, or $48.8 per hour.

Financial Data & Commission Analyst (Entry-Level) - GSO & Remote (EST Only)

Network Wireless Solutions

Greensboro, NC โ€ข Remote

Full-time

Re-posted 13 days ago


Job description

Position Summary

NWS is seeking a highly organized, analytical, and detail-oriented Finance Operations Analyst to join our growing Finance team. This role plays a key part in supporting financial operations, commission administration, reporting accuracy, data validation, and accounts payable activities across the organization.

The ideal candidate thrives in a fast-paced environment, enjoys working with large data sets, and has a passion for operational efficiency, financial accuracy, and process improvement. This position offers an excellent opportunity for an early-career finance professional to gain hands-on experience in finance operations, analytics, reporting, and cross-functional business support.

As a Finance Operations Analyst, you will collaborate closely with Finance leadership, Sales Operations, and other business teams to support commission processing, operational reporting, reconciliations, Excess & Obsolete (E&O) analysis, and recurring financial activities that directly contribute to business performance and decision-making.

Key Responsibilities

Commission Administration & Reporting

  • Support the preparation, review, and validation of U.S. and Canadian commission statements
  • Assist with commission calculations, adjustments, reconciliations, and reporting accuracy
  • Investigate and resolve commission-related discrepancies and reporting issues
  • Maintain accurate supporting documentation and reporting records
  • Partner with Finance and Sales Operations teams to ensure timely commission processing

Financial Data & Operational Analytics

  • Generate recurring operational and financial reports for leadership teams
  • Perform data cleansing, validation, and reconciliation activities to ensure reporting integrity
  • Support reporting accuracy initiatives and process improvement efforts
  • Assist with Excess & Obsolete (E&O) calculations, tracking, and reporting
  • Support ad hoc financial analysis and reporting requests

Accounts Payable & Financial Operations Support

  • Assist with invoice processing, vendor communication, and payment tracking activities
  • Support weekly payment runs, ACH/wire processing, and invoice approvals
  • Maintain accurate vendor records and financial documentation
  • Assist with account reconciliations and financial record maintenance
  • Support month-end AP close activities, accruals, and audit preparation

Process Improvement & Administrative Support

  • Maintain financial reporting files, templates, and operational documentation
  • Support month-end, quarter-end, and year-end finance activities
  • Assist Finance leadership with special projects and operational initiatives
  • Identify opportunities to improve reporting efficiency, workflows, and data accuracy
  • Contribute to the continuous improvement of finance operations processes

Qualifications & Experience


Required Qualifications


  • Post-secondary education in Finance, Accounting, Business, Analytics, or a related field
  • Strong Microsoft Excel skills, including data analysis and reporting
  • Excellent attention to detail and organizational abilities
  • Strong analytical and problem-solving skills
  • Ability to work with large data sets and manage multiple priorities
  • Effective verbal and written communication skills
  • Basic understanding of Accounts Payable processes and financial reconciliation
  • Experience handling invoices, vendor records, and payment processing activities


Preferred Qualifications

  • Internship, co-op, or entry-level experience in finance, analytics, reporting, or operations
  • Experience working with ERP, CRM, or financial reporting systems
  • Understanding of commission structures and financial reporting processes
  • Experience with data validation, reconciliation, and operational reporting


Skills & Competencies


  • Financial & Analytical Expertise: Strong ability to analyze financial data, perform reconciliations, validate reporting accuracy, and identify trends or discrepancies within large data sets.
  • Technical Proficiency: Advanced proficiency in Microsoft Excel and experience working with ERP systems, financial reporting platforms, CRM tools, and data management systems.
  • Operational & Business Acumen: Understanding of finance operations, commission processes, accounts payable workflows, and cross-functional business operations.
  • Attention to Detail: Highly detail-oriented with a strong focus on accuracy, organization, and maintaining data integrity across financial processes and reporting.
  • Communication & Collaboration: Strong interpersonal and communication skills with the ability to work effectively across Finance, Sales Operations, and leadership teams.
  • Problem-Solving & Critical Thinking: Analytical mindset with the ability to identify issues, investigate discrepancies, and implement practical, process-driven solutions.
  • Time Management & Adaptability: Ability to manage multiple priorities, meet deadlines, and thrive in a fast-paced, evolving environment.
  • Process Improvement Mindset: Proactive approach to identifying opportunities for operational efficiencies, automation, and continuous improvement within finance processes.

Reporting Structure

This role reports directly to the Finance team and works closely with Finance leadership, Sales Operations, and cross-functional business partners throughout the organization.

Compensation & Benefits

  • Competitive salary based on experience
  • Comprehensive benefits package
  • Opportunity for professional growth and career development
  • Collaborative and team-oriented work environment


Key Performance Indicators (KPIs)

The Finance Operations Analyst will be measured on the successful execution and accuracy of financial and operational support activities, including:

  • Commission Accuracy Rate: Maintain a high level of accuracy in commission calculations, reporting, and reconciliations.
  • Reporting Timeliness: Ensure recurring financial and operational reports are completed accurately and delivered within established deadlines.
  • Data Integrity & Reconciliation Accuracy: Minimize reporting discrepancies through accurate data validation, cleansing, and reconciliation activities.
  • Accounts Payable Processing Efficiency: Support timely invoice processing, payment approvals, and vendor account maintenance.
  • Month-End Close Support: Contribute to the successful completion of month-end and quarter-end finance activities within required timelines.
  • Issue Resolution Turnaround: Timely identification, investigation, and resolution of commission, reporting, or payment discrepancies.
  • Process Improvement Contributions: Identify and implement workflow improvements that enhance operational efficiency, reporting accuracy, or process scalability.
  • Stakeholder Support & Responsiveness: Deliver responsive and professional support to Finance leadership, Sales Operations, vendors, and internal stakeholders.
  • Compliance & Documentation Accuracy: Maintain organized and audit-ready financial records, reporting documentation, and supporting files.