2

Music Data Analytics Remote Jobs in Washington (NOW HIRING)

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Bachelor's degree in Data Analytics, Statistics, Information Systems, Business, or a related field.

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... This role applies advanced analytics and research methods to help improve the short- and long-term ...

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

Senior Data Analyst

Washington, DC · Remote

$135K - $150K/yr

Remote Job Type: Full-Time | Exempt Salary: $135,000 - $150,000 / Year Benefits: This position is eligible for medical, dental, vision, and 401(k). The Informatics Data Analyst has primary ...

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Utilizing analytics tools and artificial intelligence (AI) for data visualization and business ... Operate successfully on remote projects. * Other duties as required by the team and/or assigned by ...

Showing results 41-60

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.

What are the most commonly searched types of Music Data Analytics jobs in Washington?

The most popular types of Music Data Analytics jobs in Washington are:

What are popular job titles related to Music Data Analytics Remote jobs in Washington?

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

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

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

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

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

People Analytics & Insights Specialist

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 12 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243899
Location:
McLean,VA,US
Share job via:
Share
People Analytics & Insights Specialist
The Opportunity:
Advance Booz Allen's workforce and talent priorities by translating complex people and business questions into clear, evidence-based insights. Partner with People leaders, HR business partners, and business stakeholders to understand the decisions, opportunities, and challenges they are navigating. Frame analytical questions. Develop and test hypotheses. Analyze workforce data. Communicate findings, implications, and recommendations in a clear and actionable way.
Use governed people data from enterprise sources and analytics environments to identify trends, risks, opportunities, and potential drivers across the employee lifecycle, including hiring, retention, mobility, engagement, performance, skills, learning, and workforce planning. Conduct descriptive and diagnostic analyses, validate data quality, document assumptions and methods, and create concise analytical outputs, visualizations, and executive-ready materials.
This role is focused on turning governed people data into decision-ready insights. Success requires strong problem framing, hypothesis-driven analysis, sound interpretation of evidence, and the ability to communicate implications clearly to stakeholders across People, HR, business, and analytics audiences. Due to the nature of work performed within this facility, U.S. citizenship is required.
Join us. The world can't wait.
You Have:
  • 2+ years of experience using data to analyze business, workforce, talent, operational, financial, product, or organizational questions
  • 1+ years of experience translating ambiguous business or stakeholder questions into analytical approaches, including defining the problem, identifying relevant data, developing hypotheses, selecting a method, and communicating findings
  • Experience using SQL or similar methods to analyze data from enterprise systems, data warehouses, data lakes, or analytics environments
  • Experience using Excel to conduct analysis, validate data, reconcile discrepancies, build models, or create stakeholder-ready outputs
  • Experience creating analytical outputs, visualizations, dashboards, or decision-support materials using tools such as Power BI, PowerPoint, or Excel
  • Knowledge of statistical concepts, including distributions, outliers, correlation, sampling, variance, and hypothesis testing
  • Ability to communicate analytical findings clearly to non-technical audiences through written summaries, slides, and verbal briefings
  • Ability to work with sensitive or confidential data with attention to detail and sound judgment
  • Bachelor's degree

Nice If You Have:
  • Experience with people analytics, HR analytics, talent intelligence, workforce planning, recruiting analytics, employee listening, compensation analytics, organizational effectiveness, or related workforce topics
  • Experience analyzing HR, workforce, or enterprise system data from Workday
  • Experience accessing, analyzing, or preparing data in shared analytics environments, including Databricks or data lake, lakehouse, or cloud analytics platforms
  • Experience using analytical tools such as Python or R for data manipulation, analysis, automation, or statistical modeling
  • Experience with business intelligence such as Power BI and data visualization tools
  • Experience analyzing survey data, employee listening data, text data, or qualitative workforce data
  • Knowledge of employee lifecycle metrics, including headcount, hiring funnel, time to fill, internal mobility, promotion, attrition, engagement, performance, skills, learning, or employee experience
  • Knowledge of data strategy, data governance, metric definitions, data quality, privacy principles, or responsible use of employee data
  • Ability to take initiative, operate in an agile and iterative environment, and manage multiple analytical priorities
  • Possession of strong presentation skills for conveying complex information to non-technical audiences

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914