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Music Data Analytics Remote Jobs in Tulsa, OK (NOW HIRING)

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

Strong self-management skills with the ability to work independently in a fully remote environment ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

Strong self-management skills with the ability to work independently in a fully remote environment ... About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

... analyzing and managing In-Line Inspection data for the Natural Gas Liquids, Natural Gas Pipeline ... The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday.

BDO

Compliance & Monitoring Analyst

Tulsa, OK · On-site +1

The Senior, Compliance & Monitoring reviews and validates data integrity, collaborates with program ... remote, office, or BDO offices as required Ability to sit for prolonged periods and lift up to 15 ...

DataAnnotation

Treasury Analyst - AI Trainer

Tulsa, OK · Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

micro1 AI

Cheminformatics Specialist - Remote

Tulsa, OK · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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All JobsMusic Data Analytics JobsMusic Data Analytics Remote JobsMusic Data Analytics Remote Jobs in Tulsa, OK

Music Data Analytics Remote information

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$22

$50

$86

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

As of Aug 26, 2026, the average hourly pay for music data analytics remote in Tulsa, OK is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $56.63 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 Tulsa, OK?

The most popular types of Music Data Analytics jobs in Tulsa, OK are:

What are popular job titles related to Music Data Analytics Remote jobs in Tulsa, OK?

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

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

The top searched job categories for Music Data Analytics Remote jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Music Data Analytics Remote jobs?

Cities near Tulsa, OK with the most Music Data Analytics Remote job openings:

Music Data Analytics Remote jobs near you

Senior Data Engineer

Tulsa, OK • On-site, Remote

SmartLight Analytics
IT Services • 1 - 10 employees
Learn more about SmartLight Analyticsexternal

$96K - $131K/yr

Full-time

Re-posted 12 days ago

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement - you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization's BI and reporting tool.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight Analytics
SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

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