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Music Data Analytics Remote Jobs in Tennessee (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Memphis, TN · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Tombras

Data Scientist

Knoxville, TN · On-site +1

Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling ... Remote employees must be based in the United States.

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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.

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

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

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

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

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

Music Data Analytics Remote jobs near you

Data Scientist: Social Work Office of Research & Public Service - UTK

The University of Tennessee

Knoxville, TN • On-site, Remote

$75K - $80K/yr

Full-time

Posted 12 days ago

Job description

The Data Scientist supports SWORPS and partner organizations through advanced data management, statistical analysis, predictive modeling, reporting automation, and data visualization. The position integrates and analyzes large-scale administrative, survey, and longitudinal datasets to generate actionable insights for policy, program improvement, and strategic decision-making. The position collaborates with multidisciplinary teams to develop analytic solutions, build reporting infrastructure, communicate findings, and support research and evaluation initiatives across multiple externally funded projects.

This is a grant-funded position and is contingent upon the continued funding of the grant. 

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees-the Volunteers-who uphold the university's tradition of lighting the way for others through leadership and service. 

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee's flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy's largest multidisciplinary laboratory, Oak Ridge National Laboratory. 

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.  

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone. 

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as "Best Employer for New Graduates," "One of America's Best Large Employers," and "Best Workplace for Women," and has been designated as "Best Place for Working Parents" by Forbes Magazine.  

Apply today and join the Tennessee Volunteer community! 

Required Qualifications

  • Education: Master's degree in data management; data science; statistics, or information science, or related fields
  • Experience:
    •  Minimum two years' experience working with large data sets to produce actionable insights for government or nonprofit agencies. 
    • Minimum two years' experience working with ARR, data visualization, and data analysis software in a human services setting.
  • Knowledge, Skills, Abilities: 
    • Knowledge of statistical analysis techniques.
    • Knowledge of database structures and data management principles.
    • Knowledge of survey methodology, knowledge of data visualization best practices.
    • Skill in statistical and database development software, for example, SQP, R, SPSS, Python, and Java.
    • Skill in data cleaning and transformation, skill in dashboard development and reporting.
    • Skill to communicate effectively with multiple stakeholders.
    • Ability to synthesize complex information for non-technical audiences.
    • Ability to manage multiple projects simultaneously, and ability to work collaboratively across disciplines

Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status.

Preferred Qualifications

  • Education:  Doctoral degree in data management; data science; statistics, or information science, or related fields
  • Experience: 
    • Two years' experience working with multidisciplinary teams. 
    • Two years' experience leading a team or a project.
  • Knowledge, Skills, Abilities: Knowledge of SQL, R, Tableau, Power BI, GIS software, or other advanced analytics and visualization tools.

Work Location:

  • This position is a fully remote position that can work throughout the United States.

Compensation and Benefits:

  • UT market range: MR12

  • Anticipated hiring range: $75,000 to $80,000

  • Find more information on the UT Market Range structure here

  • Find more information on UT Benefits here

Application Instructions:

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Cover Letter

About The College/Department/Division:

The Social Work Office of Research and Public Service (SWORPS) is an applied research center of the University of Tennessee College of Social Work (CSW).  We are a dynamic and close-knit interdisciplinary team of individuals with a shared vision of thriving communities with equitable outcomes for all. We do that by building partnerships that leverage research, technology, and human connection to improve lives in Tennessee and beyond.

Over the past fifty years, SWORPS has worked with local nonprofits such as the United Way of Greater Knoxville, University of Tennessee departments and faculty researchers, state agencies such as the Tennessee Department of Human Services, and federal agencies like the Department of Housing and Urban Development. Our annual portfolio consists of 25-40 sponsored projects spanning a wealth of different content areas, but one common thread -each project contributes one more building block for thriving communities with equitable outcomes for all.

Learn more about SWORPS and some of our programs and resources by visiting our webpage: https://www.sworps.tennessee.edu/ 

  • Conduct predictive modeling, longitudinal analysis, statistical modeling, and data mining to support externally funded projects and partner needs. 

  • Integrate and analyze large-scale administrative, survey, and longitudinal datasets to generate actionable insights for policy, program improvement, and strategic decision-making. 

  • Develop automated analytic workflows and reproducible reporting systems to improve efficiency, transparency, and repeatability of analytic outputs.

  • Design, develop, and maintain reporting systems and dashboards that support monitoring, evaluation, and decision-making across projects. 

  • Develop data visualization products and business intelligence tools to communicate trends, findings, and performance indicators to varied audiences. 

  • Support database governance and quality assurance activities to promote data integrity, consistency, and appropriate use across reporting products.

  • Collaborate with researchers, evaluators, and external partners to scope analytic needs, refine research questions, and deliver data products aligned with project goals. 

  • Contribute to reports, presentations, publications, and dissemination activities by summarizing methods, interpreting results, and translating findings for technical and non-technical stakeholders.

  • Work with interdisciplinary teams to develop effective processes that support consistent and efficient use of data across multiple projects.

Apply