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Music Data Analytics Remote Jobs in Dallas, TX (NOW HIRING)

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building ... Work Environment: * 100% remote - must work in CST * 8am-5pm (9 hour day with one hour lunch break ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

AI Data Science Expert - Remote

Dallas, TX ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Data Analyst

Plano, TX ยท Remote

You will own the analytics function for Tapcheck's Customer Support organization. Your job is to ... If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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Music Data Analytics Remote information

See Dallas, TX salary details

$24

$54

$93

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 Dallas, TX is $54.16, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $61.35 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 the most commonly searched types of Music Data Analytics jobs in Dallas, TX?

The most popular types of Music Data Analytics jobs in Dallas, TX are:

What are popular job titles related to Music Data Analytics Remote jobs in Dallas, TX?

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

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

The top searched job categories for Music Data Analytics Remote jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Music Data Analytics Remote jobs?

Cities near Dallas, TX with the most Music Data Analytics Remote job openings:

Sr. Director Analyst - AI-Ready Finance Data & Analytics (Remote - US)

Gartner, Inc.

Irving, TX โ€ข On-site, Remote

Full-time

Retirement, PTO

Posted 20 days ago


Job description

Senior Director Analyst - AI-Ready Finance Data & Analytics
  • This is an individual contributor role, based remotely in North America.

About the role:
Gartner Analysts are industry thought leaders who create must-have insights, market predictions and best practices for a broad range of world-leading organizations. A Senior Director serves as a leader within Gartner's Business and Technology Insights (BTI) group, establishing themselves as a trusted authority within their research domain.
This Senior Director will help lead Gartner's research at the intersection of Finance, Data & Analytics, AI and enterprise transformation. The role focuses on helping organizations establish AI-ready data foundations, modern governance practices and contextual data architectures that enable better decisions and scalable AI adoption.
The analyst will engage regularly with CFOs, Finance Transformation and other Finance leaders (less frequently with CDAOs, other CxOs and Data & Analytics leaders), helping them navigate emerging challenges related to AI-ready data, governance, metadata, semantics, data products and enterprise decision-making.
What We're Looking For
We're looking for a highly curious and forward-thinking leader who has a strong, informed perspective on how trusted, contextualized data accelerates the scaling of AI across enterprises.
You understand how data governance, metadata, semantics, data products, knowledge management and modern data architectures work together to enable analytics, ML, determinative AI, generative AI and agentic AI at scale.
You enjoy developing new ideas, challenging assumptions and helping executive leaders address difficult and ambiguous strategic questions.
What You'll Do
  • Contribute to Gartner's research agenda on AI-ready data within finance and adjacent business functions.

  • Develop thought leadership on AI-ready data architectures, data quality, semantic layers, knowledge graphs, metadata management and data products.

  • Advise CFOs, other finance leaders, other CxOs and transformation leaders on building trusted data ecosystems and quality that support AI and analytics.

  • Research emerging trends including active metadata, semantic architectures, multimodal data, data observability and agentic AI enablement.

  • Create practical frameworks, maturity models, toolkits and benchmarks that help organizations assess and improve AI readiness.

  • Deliver compelling conference presentations, webinars, workshops and executive client interactions.

  • Support Gartner clients through inquiry, advisory engagements and strategic discussions.

  • Collaborate with analysts across Finance, Data & Analytics, AI, PBF (planning, budgeting and forecasting) and Technology practices.

  • Help shape Gartner's long-term point of view on how organizations operationalize AI-ready data.

What You Will Need
  • 12+ years of experience in data management, data governance, analytics, AI strategy, enterprise architecture, finance transformation, consulting or related leadership roles.

  • Deep expertise in multiple areas including data governance, metadata management, data products, knowledge management, semantic architectures and AI-ready data practices.

  • Strong understanding of modern data management architectures, including data fabrics, data mesh, data products, semantic layers and data ecosystems.

  • Ability to translate complex technology concepts into clear business guidance.

  • Demonstrated thought leadership in emerging data, analytics or AI disciplines.

  • Demonstrate executive presence; can immediately establish credibility with executives and additional stakeholders.

  • Strong organizational skills; ability to work under tight deadlines and produce high quality deliverables.

  • Demonstrate excellence in research and writing ability.

  • Strong written and verbal proficiency, analytical and presentation skills; ability to engage clients and respond effectively to questions.

  • Proficient in analyzing and synthesizing data; can effectively apply patterns and frameworks while drawing and defending conclusions to client challenges.

  • Strong communication skills - able to explain complex concepts concisely and simply.

  • Subject matter expertise; comfortable presenting at large and small-scale speaking engagements.

  • Strong business and financial acumen.

  • Deep knowledge of the global and competitive landscape within subject area as well as the interplay in that market.

  • Ability to work independently, while also being intrinsically motivated to collaborate across teams and support the workflow of others, in a multicultural global team.

  • Learning agile and adept with navigating highly matrixed environments.

  • Ability to represent Gartner's research methodology and strategies effectively at all levels.

  • Ability and willingness to travel up to 25% (where applicable).

#LI-TR3 #LI-Remote
Who are we?
At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work?
Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
Gartner is the world authority on AI
At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
Ready to grow your career with Gartner? Join us.
Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 172,000 USD - 202,500 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
Job Requisition ID:112562
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