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Music Data Analytics Remote Jobs in Miami, FL (NOW HIRING)

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

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 ...

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 ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

The Azure Data Engineer is 100% remote and working in the eastern time zone during core business hours. You will be working with Data Engineering and Data Analytics technologies on the Azure Cloud ...

Oncology CTMS Analyst

Miami, FL · Remote

$28 - $38/hr

Senior Oncology CTMS Analyst (Remote) - 15-Week Contract Miami, FL Area (Remote) $28.00 - $38.00 ... Monitor data quality, system integrity, and compliance with institutional standards * Create ...

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 Financial Analyst- Remote

Miami, FL · On-site +1

$81K - $101K/yr

... in data analytics, including demographics, competitors, and industry trends. • Ability to ... Be Berkadia. #LI-HB1 #LI-REMOTE Berkadia, as an equal opportunity employer, celebrates our ...

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Music Data Analytics Remote information

See Miami, FL salary details

$23

$52

$90

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

As of Aug 30, 2026, the average hourly pay for music data analytics remote in Miami, FL is $52.36, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $59.33 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 Miami, FL?

The most popular types of Music Data Analytics jobs in Miami, FL are:

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

The top searched job categories for Music Data Analytics Remote jobs in Miami, FL are:

What cities near Miami, FL are hiring for Music Data Analytics Remote jobs?

Cities near Miami, FL with the most Music Data Analytics Remote job openings:

Infographic showing various Music Data Analytics Remote job openings in Miami, FL as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $108,913 per year, or $52.4 per hour.

Data Analytics Engineer

Coral Gables, FL • Remote

Lakeview Loan Servicing
51 - 200 employees

$118K - $130K/yr

Full-time

Posted 3 days ago

New


Job description

Overview

Lakeview Household Insurance Solutions (LHIS) is the insurance brokerage arm of Lakeview Loan Servicing, offering P&C personal lines of insurance to approximately 3 million mortgage customers serviced by Lakeview Loan Servicing. The pay range for this position is $118,000-$130,000

The Data Analytics Engineer is responsible for designing and maintaining the analytical data structures, semantic models, reporting datasets, and data governance processes that support trusted business intelligence across LHIS. Working within the Business Intelligence function, this role serves as a key owner of data quality, analytical architecture, and reporting enablement across multiple business domains.

The Data Analytics Engineer partners closely with Sales, Marketing, Operations, Technology, and Data Engineering to ensure operational processes are structured to support accurate reporting, while developing and maintaining analytical models within Microsoft Fabric. Particular emphasis is placed on sales and customer lifecycle data, ensuring operational systems produce reliable and analytically useful information from the point of collection through final reporting and KPI delivery.


Responsibilities

Data Governance & Process Design

  • Partner with business leaders to ensure operational processes capture accurate, complete, and reportable data.
  • Recommend improvements to workflows, field structures, stage definitions, and business processes to improve reporting accuracy and data quality.
  • Establish and maintain standards for data governance, field usage, and business definitions.
  • Identify gaps in data collection and implement solutions that improve analytical visibility.
  • Audit operational data and system usage to ensure consistency across departments.
  • Serve as the primary analytical stakeholder for business process and data structure decisions, ensuring changes to operational systems support both business execution and future reporting requirements.

 

Analytics Architecture & Semantic Modeling

  • Design and maintain semantic models within Microsoft Fabric to support enterprise reporting and analytics.
  • Develop analytical datasets and business logic required for reporting and performance measurement.
  • Translate operational business processes into scalable analytical models.
  • Apply dimensional modeling principles, including Kimball methodologies, fact tables, and dimension tables, to support reporting, dashboarding, and future analytical initiatives.
  • Partner with Data Engineering to ensure source data is available and properly structured for analytical consumption.
  • Support the ongoing development and enhancement of the Business Intelligence layer and contribute to scalable reporting frameworks capable of supporting future organizational growth.

 

Reporting, Business Intelligence & Data Quality

  • Define, document, and maintain KPI calculations and business metric definitions.
  • Validate reporting outputs against operational expectations and business requirements.
  • Support dashboard development and ad hoc analytical initiatives for Sales, Marketing, and Operations.
  • Develop reconciliation processes and data quality controls, including monitoring, validation, and issue resolution, to improve trust in reporting.
  • Collaborate with stakeholders to ensure reporting solutions support business objectives and improve data capture outcomes.
  • Identify opportunities for advanced analytics as organizational data maturity increases.

Qualifications

The job requires regular sitting and use of hands for handling objects, tools, or controls, with frequent talking and listening in a moderately noisy environment. There will be occasional standing, walking, and reaching with hands and arms, with rare instances of stooping, kneeling, crouching, or crawling. Lifting and moving objects up to 10 pounds is a regular part of the role. Specific vision abilities such as close vision, color vision, and the ability to adjust focus are necessary.

Additionally, the employee must connect to the internet via a direct Ethernet connection, maintain a dedicated workspace to safeguard customer information, and have an internet connection with a minimum download speed of 50 Mbps and a minimum upload speed of 10 Mbps. If using shared internet, prioritizing the connection for work purposes is strongly recommended, with the preference for a dedicated connection solely for work-related tasks.

EEOC

Lakeview Household Insurance Solutions is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Qualifications:

The job requires regular sitting and use of hands for handling objects, tools, or controls, with frequent talking and listening in a moderately noisy environment. There will be occasional standing, walking, and reaching with hands and arms, with rare instances of stooping, kneeling, crouching, or crawling. Lifting and moving objects up to 10 pounds is a regular part of the role. Specific vision abilities such as close vision, color vision, and the ability to adjust focus are necessary.

Additionally, the employee must connect to the internet via a direct Ethernet connection, maintain a dedicated workspace to safeguard customer information, and have an internet connection with a minimum download speed of 50 Mbps and a minimum upload speed of 10 Mbps. If using shared internet, prioritizing the connection for work purposes is strongly recommended, with the preference for a dedicated connection solely for work-related tasks.

EEOC

Lakeview Household Insurance Solutions is an Equal Employment Opportunity employer.  All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.

#LI-Remote

Education:UNAVAILABLEEmployment Type: FULL_TIME