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Music Data Analytics Remote Jobs in Toronto, ON (NOW HIRING)

Adastra

Game Data Product Owner

Thornhill, ON · Remote

Fully Remote Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES * Collaborate with stakeholders to shape the Data & Analytics vision and roadmap and steer a cross-functional data team ...

Moneris

Manager, Marketing Insights & Analytics

Toronto, ON · On-site +1

CA$115K - CA$130K/yr

Leveraging data from digital marketing platforms, web analytics tools, measurement solutions, and ... You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Lifeworks

Investment Analyst (Remote)

Toronto, ON · On-site +1

Collect and verify data required for quarterly performance reporting including interpreting and analyzing the data, as well as supporting the communication of relevant information in a timely and ...

Tiny Health

Microbiome Data Scientist

Toronto, ON · Remote

... data analysis (e.g., 16S, shotgun metagenomics) is highly desirable * Excellent communication skills, both written and verbal * Self-motivated, organized, and able to work independently in a remote ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Epistemix

Data Scientist

Toronto, ON · Remote

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

YO AI Labs

English Voice Coach - Remote

Toronto, ON · Remote

$50 - $60/hr

Contract Location: Remote Job Summary We are seeking native English speakers from Ireland ... Experience in voice coaching, voice-over, or speech analysis . * Background in music, audio ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... data analysts and solution architects to develop data pipelines to feed our data marketplace ...

SGI

Data Architect

Toronto, ON · On-site +1

CA$109K - CA$145K/yr

This role is eligible for in-office, hybrid, or remote work within the provinces where we operate ... Monitorsemerging architecture, platformtechnologiesand analytic techniques andapplies ...

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Showing results 21-40

All JobsMusic Data Analytics JobsMusic Data Analytics Remote JobsMusic Data Analytics Remote Jobs in Toronto, ON

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 popular job titles related to Music Data Analytics Remote jobs in Toronto, ON?

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

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

The top searched job categories for Music Data Analytics Remote jobs in Toronto, ON are:

Music Data Analytics Remote jobs near you
Infographic showing various Music Data Analytics Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution.

Senior Data Product Manager, Data & Intelligence

NearSource

Toronto, ON • Remote

Full-time

Posted 13 days ago

Key responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, plans, and requirements.

  • Lead product discovery, define user needs, workflows, and desired outcomes with business and technical teams.

  • Manage product backlogs, dependencies, risks, and stakeholder communications throughout the product lifecycle.

Job description

Job Title: Senior Data Product Manager, Data & Intelligence
Job Location: 100% Remote, Canada
Job Type: T4 Contract
Experience: 8+ Years
Rate: CAD 70 - 78 per hour

Role Summary: NearSource is looking for a Senior Data Product Manager, Data & Intelligence to translate strategic business priorities and stakeholder needs into scalable, trusted, and actionable enterprise data products.

The role operates at the intersection of business strategy, data, analytics, and engineering, driving product roadmaps, requirements, prioritization, and cross-functional delivery for complex data and intelligence initiatives.

Key Responsibilities

  • Translate strategic business goals and stakeholder needs into product roadmaps, product plans, epics, releases, and actionable requirements.
  • Lead product discovery with business stakeholders and technical teams to define user needs, use cases, workflows, and desired outcomes.
  • Own product prioritization based on customer value, strategic alignment, dependencies, technical feasibility, and implementation effort.
  • Partner with Engineering Managers, Technical Leads, Data Engineers, Analysts, Data Scientists, Business Intelligence teams, and Data Governance specialists throughout the product lifecycle.
  • Manage product backlogs, requirements, dependencies, risks, acceptance criteria, release readiness, and stakeholder communications.
  • Ensure technical solutions remain aligned with defined business and user outcomes.
  • Drive alignment across business and technical stakeholders by communicating priorities, decisions, trade-offs, risks, and progress.
  • Establish feedback loops and success measures to improve product quality, adoption, scalability, and business impact.
  • Identify opportunities for standardization, reuse, simplification, and automation to reduce one-off solutions.
  • Translate ambiguous strategic objectives into clear, prioritized, and executable product plans for technical delivery teams.
  • Drive delivery of trusted, reusable, and scalable data and intelligence products that support Go-to-Market decision-making.

Must-Have Skills

  • 8+ Years of experience as a Data Product Manager, Technical Product Manager, Product Manager, or similar role working with technically complex products.
  • Strong experience in strategic planning and translating business objectives into actionable product roadmaps.
  • Strong stakeholder management experience across business and technical teams.
  • Hands-on experience with analytics and data science products.
  • Experience with product discovery, roadmap development, prioritization, and requirements definition.
  • Experience managing epics, releases, product backlogs, dependencies, and acceptance criteria in an Agile environment.
  • Proven ability to translate ambiguous business problems and stakeholder needs into clear and executable product plans.
  • Experience partnering closely with engineering or technical development teams.
  • Working knowledge of data models, data pipelines, APIs, data quality, data governance, analytical platforms, or enterprise data products.
  • Strong written and verbal communication skills, including the ability to communicate complex technical concepts to non-technical stakeholders.

Nice-to-Have Skills

  • Experience with Customer Data Governance or Master Data Management.
  • Experience with Customer 360, customer identity, entity resolution, account hierarchies, match/merge, or deduplication.
  • Experience with third-party data ingestion, data enrichment, data quality, reconciliation, or exception management.
  • Experience with policy-driven data workflows, controls, audibility, or automation.
  • Experience with enterprise analytical data platforms, data warehouses, or lake house environments.
  • Experience with governed datasets, shared metrics, data definitions, or semantic consistency.
  • Experience with BI products, dashboard consolidation, migration, or rationalization.
  • Experience with embedded analytics or intelligence within enterprise applications.
  • Experience with predictive analytics, machine learning, recommendation, scoring, or decision-support products.
  • Experience with model explainability, experimentation, or hypothesis-driven product development.
  • Experience operationalizing analytical models and insights within business workflows.
  • Experience delivering intelligence or analytics through CRM platforms such as Salesforce.
  • Experience working in a complex, globally distributed enterprise environment.

Relevant Data Product Experience

Candidates should demonstrate meaningful experience in at least one of the following areas:

  • Customer Data Governance: Master Data Management, Customer 360, customer identity, entity resolution, account hierarchies, data quality, governance, reconciliation, and automated controls.
  • Customer Intelligence at Scale: Enterprise data and analytics platforms, governed datasets, shared metrics, data enrichment, product-ionized intelligence, BI products, embedded analytics, and AI-enabled data experiences.
  • Strategic Data Research and Data Science Products: Predictive analytics, machine learning, propensity and recommendation models, scoring products, model explainability, experimentation, and operationalized analytical insights.

Apply now, or share your resume with salary expectations at careers@nearsource.ca. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

About NearSource: NearSource Technologies is a trusted partner for future-ready software consulting, enabling Fortune 500 enterprises to accelerate digital transformation. Our global engineering teams build and deploy impactful technology for some of the world's most admired brands, working directly on long-term client initiatives.

Equal Opportunity: NearSource is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background. Innovation thrives when everyone feels empowered to contribute.