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Remote Data Analyst R Programming Jobs in Brampton, ON

Lakeview Loan Servicing

Lead Data Engineer

Toronto, ON · Remote

CA$220K - CA$260K/yr

... powers analytics, reporting, AI development, and operational decision-making across the ... This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ...

Sangoma

Analytics Engineer, Enterprise Data

Toronto, ON · Remote

Analytics Engineer, Enterprise Data See It. Build It. Own it. Sangoma is a global leader in business communications, delivering cloud-based solutions that help organizations connect, collaborate, and ...

Talent To Hire Inc.

Senior Data Engineer

Toronto, ON · Remote

CA$110K - CA$145K/yr

Collaborate with analysts and business teams to translate needs into technical solutions ... Screening Questions: 1-How proficient are you with programming languages and tools for data ...

DNAstack

Bioinformatics Team Manager

Toronto, ON · Remote

Knowledge of programming/scripting frameworks (Python, R, or similar), with enough depth to review ... NGS data analysis and production-scale pipelines * Graduate degree (Master's or PhD) in ...

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Enable advanced analytics and ML use cases through optimized data models and pipelines.

McKesson

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Summary The Lead Data Engineer is a senior individual contributor within McKesson's Decision ... Enable advanced analytics and ML use cases through optimized data models and pipelines.

Arobas Personnel Inc.

Analytics Engineer

Toronto, ON · On-site +1

Remote : Hybrid* We are seeking an experienced Analytics Engineer to help transform data into meaningful insights and scalable solutions that drive business decisions. This role is focused on ...

Morson Talent

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

... Remote) Job Overview We are seeking a skilled DevOps Engineer to support our data analytics developers in deploying, maintaining, and troubleshooting data pipelines within our Azure-based Data Lake ...

Sanofi EU

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people'slives ... engineers, and analytics teams by providing guidance on AI approaches, solution architectures ...

Sanofi EU

Data Scientist Manager

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people'slives ... engineers, and analytics teams by providing guidance on AI approaches, solution architectures ...

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All JobsData Analyst R Programming JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Brampton, ON

Remote Data Analyst R Programming information

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Brampton, ON?

The most popular types of Data Analyst R Programming jobs in Brampton, ON are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Brampton, ON?

For Remote Data Analyst R Programming jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Brampton, ON look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Remote Data Analyst R Programming jobs?

Cities near Brampton, ON with the most Remote Data Analyst R Programming job openings:

Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 69% Full Time, 10% Temporary, and 21% Contract. Highlights an 100% Remote job distribution.

Senior Data Product Manager, Data & Intelligence

Toronto, ON • Remote

NearSource
IT Services • 11 - 50 employees
Learn more about NearSourceexternal

Full-time

Posted 15 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.