2

Music Data Analytics Remote Jobs in Raleigh, NC (NOW HIRING)

Senior FP&A Planning Analyst (Oracle EPM)

Cary, NC ยท On-site +1

$80K - $99K/yr

Senior FP&A Planning Analyst (Oracle EPM) Hybrid - Cary, North Carolina or US - Remote We're a leader in data and AI. Through our software and services, we inspire customers around the world to ...

Data Scientist

Raleigh, NC ยท On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Showing results 21-40

Music Data Analytics Remote information

See Raleigh, NC salary details

$23

$53

$91

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

As of Aug 22, 2026, the average hourly pay for music data analytics remote in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 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 Raleigh, NC?

The most popular types of Music Data Analytics jobs in Raleigh, NC are:

What are popular job titles related to Music Data Analytics Remote jobs in Raleigh, NC?

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

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

The top searched job categories for Music Data Analytics Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Music Data Analytics Remote jobs?

Cities near Raleigh, NC with the most Music Data Analytics Remote job openings:

Infographic showing various Music Data Analytics Remote job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,694 per year, or $53.2 per hour.

Senior FP&A Planning Analyst (Oracle EPM)

SAS

Cary, NC โ€ข On-site, Remote

$80K - $99K/yr

Other

Posted 22 days ago


Job description

Senior FP&A Planning Analyst (Oracle EPM)
Hybrid - Cary, North Carolina or US - Remote
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized globally for our inclusive culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek, and more.
About the job
The Global FP&A team is seeking a senior FP&A professional with deep Oracle Cloud EPM Planning expertise to lead enterprise forecasting, budgeting, scenario modeling, and long-range planning capabilities.
This is a senior FP&A role accountable for planning processes, financial logic, assumptions, and business outcomes, with Oracle Cloud EPM Planning as the primary enabling platform. The role partners closely with FP&A leadership, Finance Data & Analytics, and IT, to deliver scalable and well-governed planning solutions aligned to enterprise standards.
As a Senior FP&A Planning Analyst, you will:
Lead FP&A planning, forecasting, and scenario modeling enabled by Oracle EPM
  • Own FP&A planning processes supporting annual budgets, rolling forecasts, and long-range strategic plans.
  • Partner with FP&A leadership to assess business performance, risks, opportunities, and scenarios aligned to strategic objectives.

Design and own FP&A planning models and financial logic
  • Define and own FP&A planning models within Oracle EPM, including financial structures, drivers, assumptions, scenarios, and business logic aligned to how the business operates.
  • Translate FP&A questions and decision needs into scalable, driver-based planning models.

Partner on Oracle EPM build, design and testing, and deployment
  • Partner with Finance Data & Analytics and IT teams on the configuration, build, design and testing, and deployment of Oracle Cloud EPM Planning solutions in accordance with enterprise architecture and platform standards.
  • Serve as the finance functional owner throughout planning cycle delivery and enhancements.

Develop and maintain FP&A planning logic and business rules
  • Design, maintain, and continuously improve financial calculations, planning logic, and business rules within Oracle EPM that support forecasting accuracy and decision-making.
  • Work within established Oracle EPM and enterprise data standards, partnering as needed on technical optimization and performance.

Strengthen forecast integrity, governance, and controls
  • Define FP&A data requirements, reconciliation logic, controls, and validation rules for data flowing into Planning from source systems (e.g., GL, Close).
  • Partner with IT and Finance Data & Analytics, to ensure data quality, auditability, and traceability.
  • Establish and maintain planning governance, version control, and assumption management across planning cycles.

Modernize FP&A processes by transitioning Excel-based planning into EPM
  • Identify high-value forecasting and planning processes currently managed in Excel and define requirements to transition them into governed Oracle EPM solutions.
  • Partner with Finance Data & Analytics and IT to deliver scalable implementations that balance analytical flexibility with control.

Provide functional leadership for FP&A planning processes enabled by EPM
  • Facilitate FP&A working sessions, review model outputs, coach analysts, and ensure alignment with finance best practices and business objectives.
  • Coordinate closely with IT, Finance Data & Analytics, and external partners while retaining ownership of FP&A assumptions, logic, and outcomes.
  • Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.

Required qualifications
  • Bachelor's degree in Accounting, Finance, Information Systems or related field.
  • Typically requires eight years' experience working in financial or accounting systems support. Experience in the following areas desired: change management and process analysis, systems implementation, administration, auditing, and financial reporting. Experience directly related to area of assignment may be used to satisfy the above requirements.
  • Experience leading at least one end-to-end Oracle EPM Planning implementation
    Including design, build, testing, and deployment.
  • Demonstrated experience implementing rolling forecasts and long-range planning solutions
    Within Oracle EPM Planning or comparable enterprise planning platforms.
  • Strong experience designing driver-based planning models
    Including scenarios, versions, and alignment across annual plan, forecast, and strategic planning cycles.
  • Proven ability to partner with FP&A stakeholders to translate business requirements into system solutions
    Serving as a functional liaison between finance users, IT, and implementation partners.
  • Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Additional competencies, knowledge and skills
  • Communication - Conveying information and ideas clearly and concisely to individuals or groups in an engaging manner that helps them understand and retain the message; listening actively to others.
  • Inspiring Excellence - Driving high standards; tenaciously working to meet or exceed challenging goals; defining success by goal achievement and continuous improvement.
  • Operational Decision Making - Securing and comparing information from multiple sources to identify business issues; committing to an action after weighing alternative solutions against important decision criteria.
  • Planning architecture and model design - Experience designing scalable, integrated planning models that support annual planning, rolling forecasts, and long-range plans within a single EPM environment.
  • FP&A process transformation - Experience replacing complex Excel-based planning models with governed, auditable EPM solutions.
  • Change management and user adoption - Ability to support planning users through training, documentation, and iterative improvement during live planning cycles.
  • Experience working with system integrators or consulting partners during EPM implementations.

You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.
#LI-MC1
#SAS