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Remote Health Data Analyst Jobs in Quebec (NOW HIRING)

It is a 100% Remote position in Canada. \n * Candidates Preferred from EST\/CST Time Zone. \n JOB ... Integrate logging\/monitoring with Log Analytics and security monitoring with Sentinel, including ...

... or fully remote Enjoying a flexible schedule and a comprehensive benefits program Vos ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

New

... or fully remote Enjoying a flexible schedule and a comprehensive benefits program Vos ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

New

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... This is a hybrid role that builds and operates the cloud data platform powering our analytics and ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position ... Remote + flexible work schedule * North of six figures salary + Equity + Health Spending Account ...

Showing results 41-60

Remote Health Data Analyst information

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

What are the key skills and qualifications needed to thrive as a remote health data analyst?

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
What cities in Quebec are hiring for Remote Health Data Analyst jobs? Cities in Quebec with the most Remote Health Data Analyst job openings:
Infographic showing various Remote Health Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 100% Remote job distribution.

Product Manager (Data Platform & AI Platform)

Tecsys Inc.

Montreal, QC โ€ข On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.

About us

Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!

About the Role

We are looking for a Product Manager, Data Platform & AI Platform to define the strategy and drive delivery of next-generation data, analytics, and AI capabilities. This role sits at the intersection of platform engineering, customer-centric product management, and applied AI innovation, spanning two key domains: A data platform powering ingestion, streaming, integration, and analytics and a customer-facing AI platform enabling intelligent tools, workflows, and AI-assisted experiences. You'll own the vision, roadmap, and execution across both areas, working hands-on with engineering teams while shaping the future of AI-driven user experiences for our customers.

Responsibilities
  • Define and execute the product strategy and roadmap across data and AI platform domains
  • Own data platform capabilities including ingestion, streaming, transformation, integration, and analytics
  • Lead product direction for data quality, governance, security, observability, and scalability
  • Partner with engineering, architecture, and cross-functional teams to translate business needs into technical solutions
  • Own the vision and delivery of a customer-facing AI platform, including assistants, workflows, and intelligent tools
  • Translate customer needs into intuitive, scalable, and impactful AI-driven product experiences
  • Drive adoption of AI capabilities by gathering feedback, measuring usage, and iterating based on outcomes
  • Manage and prioritize product backlogs, write user stories, and support Agile delivery processes
  • Conduct market research and competitive analysis to inform product direction
  • Define success metrics and KPIs to guide decision-making and measure impact
  • Contribute to go-to-market planning and communicate product vision to stakeholders
  • Balance short-term delivery goals with long-term strategic platform investments

Requirements

Qualificationsย 
  • 3+ years of experience in product management or a similar role within a technical software environment
  • Strong understanding of data platforms (pipelines, streaming, integration, modeling, governance, and analytics)
  • Experience with modern cloud data ecosystems (Databricks and AWS preferred)
  • Familiarity with AI/ML product concepts, especially customer-facing applications like copilots or intelligent workflows
  • Proven ability to translate customer needs into product requirements, roadmaps, and deliverables
  • Hands-on experience managing backlogs and working closely with engineering teams in Agile environments
  • Strong communication, stakeholder management, and collaboration skills
  • Analytical mindset with strong problem-solving capabilities
  • Track record of delivering products or features end-to-end

We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.

At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.

Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.

NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada,ย OR, have a valid Canadian work permit.

***

A Note on Our Hiring Process:ย We do not use AI to automatically screen or reject candidates. However, we do use specific screening questions to prioritize the most relevant applications for human review.
At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.

During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn't speak or act on your behalf. We genuinely want to meetย you.

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