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Music Data Analytics Remote Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT ยท On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Senior Data Scientist

Lehi, UT ยท On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

$50/hr

... shows and music, and the PlayStation Network, Sony creates and delivers more entertainment ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

... shows and music, and the PlayStation Network, Sony creates and delivers more entertainment ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

... shows and music, and the PlayStation Network, Sony creates and delivers more entertainment ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

... shows and music, and the PlayStation Network, Sony creates and delivers more entertainment ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

$50/hr

... shows and music, and the PlayStation Network, Sony creates and delivers more entertainment ... The analysis and alleviation of ethical flaws in generative models, including techniques for ...

Showing results 41-60

Music Data Analytics Remote information

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 the most commonly searched types of Music Data Analytics jobs in Utah?

The most popular types of Music Data Analytics jobs in Utah are:

What job categories do people searching Music Data Analytics Remote jobs in Utah look for?

The top searched job categories for Music Data Analytics Remote jobs in Utah are:

What cities in Utah are hiring for Music Data Analytics Remote jobs?

Cities in Utah with the most Music Data Analytics Remote job openings:

Infographic showing various Music Data Analytics Remote job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Compensation Analyst (Teradyne, US Remote / North Reading, MA)

Teradyne

Salt Lake City, UT โ€ข Remote

$94K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team, one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

** Open to US Remote **

We are seeking a Compensation Analyst to support the design, administration, analysis, and continuous improvement of Teradyne's global compensation programs. This role will partner across HR and the business to deliver compensation insights, market analysis, and data-driven recommendations that support organizational objectives.

In this role, you will combine compensation expertise, advanced analytics, automation, and business consultation to help improve the effectiveness, accuracy, and scalability of compensation processes.

  • Conduct market pricing analyses using compensation survey data, including Radford, Mercer, Comptryx, and other market intelligence sources.
  • Analyze salary structures, pay equity, geographic differentials, and overall compensation competitiveness.
  • Support annual compensation programs, including merit planning, promotions, bonus administration, equity programs, and salary structure development.
  • Support job evaluation, market alignment, job architecture, and leveling initiatives.
  • Develop dashboards, reports, models, and decision-support tools that provide actionable workforce and compensation insights.
  • Partner with HR Business Partners and business leaders on global compensation matters, including offers, promotions, retention cases, internal equity concerns, organizational changes, and market competitiveness.
  • Leverage advanced Excel, automation solutions, and AI-enabled tools to streamline compensation processes, reporting, survey matching, job evaluation, and documentation.
  • Ensure compensation data integrity through strong governance, validation, audit, and confidentiality practices.
  • Serve as a trusted advisor by translating complex compensation analyses into clear and actionable guidance.
  • Evaluate complex compensation situations and exercise independent judgment to develop practical, data-driven recommendations aligned with company compensation philosophy, external competitiveness, and business objectives.
  • Communicate compensation concepts and confidently present and defend recommendations with HR and business leaders, including in high-visibility situations.

All About You

The ideal candidate is intellectually curious, highly analytical, and motivated by continuous learning and professional growth. They thrive in a fast-paced environment, exercise sound judgment, and consistently deliver high-quality results while managing competing priorities and deadlines.

  • Bachelor's degree in Human Resources, Business, Finance, Economics, or a related field.
  • Minimum of 6 years of progressive compensation experience.
  • Experience supporting global compensation programs.
  • Strong understanding of compensation principles, market pricing methodologies, salary structures, and compensation program administration.
  • Advanced Microsoft Excel proficiency, including complex formulas, data analysis, modeling, reporting, and automation.
  • Ability to analyze large, complex datasets and translate business questions into actionable insights and recommendations.
  • Experience building dashboards, analytical models, reports, and decision-support tools that drive business decisions.
  • Strong written, verbal, and presentation skills, with the ability to communicate complex compensation concepts to technical and non-technical audiences.
  • Proven ability to build credibility and partner effectively with HR Business Partners, Field HR, and managers.
  • Strong judgment, attention to detail, accountability, and ability to manage multiple priorities and deadlines.
  • Continuous improvement mindset with interest in automation, AI-enabled technologies, process improvement, and emerging tools.
  • Preferred: Certified Compensation Professional certification or progress toward certification.
  • Preferred: Experience with SAP SuccessFactors or similar HRIS platforms.
  • Preferred: Experience supporting job architecture and leveling frameworks.
  • Preferred: Knowledge of pay transparency, pay equity, and related regulatory requirements.
  • Preferred: Experience using AI tools and automation solutions to improve business processes.

This position is not eligible for sponsorship.

Compensation: The base salary range for this role is $94,400-151,000. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range may vary based on experience, skills, qualifications.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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