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Music Data Analytics Remote Jobs in Indiana (NOW HIRING)

$79K - $105K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Remote Duration: Contract - 12 months Pay Range: $68 - $71/hr W2 all inclusive Job ID: 373498 About ... Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related ...

Remote Duration: Contract - 12 months Pay Range: $58/hr - $65/hr on W2 Job ID: 374024 About ... The ideal candidate will have strong experience in CX/VoC analytics, statistical modeling, machine ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... data analysis, systems analysis, quality assurance, and CMS data reporting and compliance in the ...

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

Data Engineer (MedInsight)

Indianapolis, IN · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Job Title Commercial Insurance Analytics Consultant - Remote Requisition Number R7735 Commercial ... Partners closely with IT, data, and digital teams to define business requirements, influence data ...

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Showing results 1-20

Music Data Analytics Remote information

What are the key skills and qualifications needed to thrive as a Music Data Analytics professional working remotely, and why are they important?

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 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 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.

What are the most commonly searched types of Music Data Analytics jobs in Indiana? The most popular types of Music Data Analytics jobs in Indiana are:
What job categories do people searching Music Data Analytics Remote jobs in Indiana look for? The top searched job categories for Music Data Analytics Remote jobs in Indiana are:
What cities in Indiana are hiring for Music Data Analytics Remote jobs? Cities in Indiana with the most Music Data Analytics Remote job openings:
Director of Data Analytics

Director of Data Analytics

Indiana Wesleyan University

Indianapolis, IN • On-site, Remote

Full-time

Posted 4 days ago


Indiana Wesleyan University rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities


Job description

Director of Data Analytics
Job no: 495051
Work type: Administrative (Full Time)
Location: Indianapolis, IN, Marion, IN, Hybrid (2 Office / 3 Remote), Remote (within United States), Other
Categories: Administrative/Professional
Job Title: Director of Data Analytics
Reporting Relationship: VP of Learner Success
Unit: National & Global
Department: Dept. of Learner Success-National & Global
Campus Location: Hybrid Schedule (1 day / month Onsite either at Indianapolis Ed Center or Marion, IN campus; the remaining time fully remote).
Summary of Position: The Director of Data Analytics serves as the Strategic Lead for data-driven retention interventions and intervention science within National & Global. Reporting directly to the Vice President of Learner Success, this individual contributor role is responsible for transforming complex student data from the institutional data lake into validated, causal insights that directly improve persistence and completion outcomes for adult online learners.
This position is distinguished by its focus on establishing causality in retention research. The Director applies advanced statistical approaches to move the division from descriptive dashboards to prescriptive, evidence-based action, functioning as the lead practitioner for "Actionable Analytics."
Duties and Responsibilities
  • Intervention Science and Causal Modeling
    • Leads the application of "gold standard" statistical methodologies to establish the causal efficacy of retention interventions
    • Designs and executes quasi-experimental studies using Propensity Score Matching (PSM) to simulate randomized control trials
    • Employs Survival Analysis (time-to-event modeling) to identify critical "danger zones" within the academic term where students are most likely to disengage
    • Utilizes Multi-level Modeling (MLM) to distinguish between student-level factors and systemic programmatic issues
    • Applies Structural Equation Modeling (SEM) to map relationships between latent psychosocial variables and observed outcomes like GPA and course completion
  • Student Success Intelligence Brief Publication
    • Serves as the primary author and strategist for the "Student Success Intelligence Brief," published every six weeks
    • Translates complex statistical findings into clear, actionable steps for faculty and leadership across the DeVoe School of Business, the School of Education, and the School of Service and Leadership
    • Provides high-level, program-segmented analysis of retention trends and provides "Go/No-Go" recommendations for scaling pilot initiatives
  • Psychosocial Metric Development and Validation
    • Operationalizes the integration of non-cognitive measures (Sense of Belonging, Academic Self-Efficacy, Help-Seeking Orientation) into the institutional data model
    • Develops and validates proprietary predictive scales that combine traditional academic indicators with psychosocial factors
    • Ensures that psychosocial triggers are embedded into CRM case records to enable targeted resource referrals by advisors
  • Data Integration and CRM/AI Collaboration
    • Serves as the primary functional liaison to IT and Salesforce teams to access and integrate data from the institutional data lake
    • Defines data requirements and validates data quality for the "Student Insights Agent" and other Agentic AI workflows
    • Ensures that early alert thresholds and "Next Best Action" prompts in Salesforce are grounded in empirically validated retention science rather than arbitrary rules
  • External Benchmarking and Thought Leadership
    • Benchmarks institutional retention outcomes against national standards for online adult learners (IPEDS, National Student Clearinghouse)
    • Represents the institution at national conferences (e.g., EDUCAUSE, AIR) to contribute to the scholarly conversation on student success science

Qualifications: According to Indiana Wesleyan University employment policy all employees must possess a strong Christian commitment and adhere to the standards outlined in the IWU Community Lifestyle Statement.
Education
  • Required: Master's degree in Data Science, Business Analytics, Statistics, Quantitative Psychology, or a related quantitative field
  • Preferred: Doctoral student (ABD - All But Dissertation) with a focus on causal inference, higher education research, or intervention science

Experience
  • Five or more (5+) years of progressive experience in data science, institutional research, or student success analytics
  • Proven track record of establishing causal relationships in educational or behavioral research
  • Experience working with adult learner populations in online or distance learning environments
  • Experience with CRM platforms (Salesforce Education Cloud strongly preferred)

Required Skills
  • Expert-level proficiency in PSM, Survival Analysis, MLM, and SEM
  • Advanced programming skills in R or Python for data manipulation and modeling
  • Proficiency in SQL and experience querying large, complex educational databases/data lakes
  • Strong ability to translate complex data into "Intelligence Briefs" for non-technical executive audiences

IWU Kingdom Diversity Statement
IWU, in covenant with God's reconciling work and in accordance with the Biblical principles of our historic Wesleyan tradition, commits to build a community that reflects Kingdom diversity. We will foster an intentional environment for living, teaching and learning, which exhibits honor, respect, and dignity. Acknowledging visible or invisible differences, our community authentically values each member's earthly and eternal worth. We refute ignorance and isolation and embrace deliberate and courageous engagement that exhibits Christ's commandment to love all humankind.
LIMITATIONS AND DISCLAIMER
As a religious educational institution operating under the auspices of The Wesleyan Church, Indiana Wesleyan University is permitted and reserves the right to prefer employees on the basis of religion (42 U.S.C., Sections 2000e-1 and 2000e-2).
The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
Advertised: 15 May 2026 US Eastern Daylight Time
Applications close: 21 Jun 2026 US Eastern Daylight Time
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