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Remote Data Manager Jobs in Toronto, ON (NOW HIRING)

Data Scientist

Toronto, ON ยท Remote

  • Medical

  • Retirement

We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

Murex S4C Consultant

Toronto, ON ยท On-site +1

CA$80K - CA$120K/yr

  • Medical

  • Dental

  • Retirement

Utilize Murex integration technologies, APIs, and data management tools to deliver business ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

Murex S4C Consultant

Toronto, ON ยท On-site +1

CA$80K - CA$120K/yr

  • Medical

  • Dental

  • Retirement

Utilize Murex integration technologies, APIs, and data management tools to deliver business ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

Senior Manager, Data Engineering

Toronto, ON ยท On-site +1

CA$142K - CA$177K/yr

  • Medical

  • Retirement

  • PTO

Your Moneris Career - The Opportunity As the Senior Manager, Data Engineering, you will lead the ... You will be based in our Toronto office, balancing in-office collaboration with remote flexibility.

Data Engineer

Toronto, ON ยท Remote

CA$140K - CA$190K/yr

  • Medical

  • Retirement

Design and manage data architectures that support OLTP, OLAP, and reporting workloads across ... Remote Education:UNAVAILABLEEmployment Type: FULL_TIME

Manager - Hydrogeology

Toronto, ON ยท On-site +1

CA$120K - CA$180K/yr

Remote - Regular-Full Time As the Supervisor - Hydrogeology, this role will be responsible for ... Technical communications of groundwater data including data analysis and report writing. * Study ...

Data Analyst

Toronto, ON ยท On-site +1

  • Medical

  • Retirement

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics ... Interview with the Hiring Manager (45-60 minutes) * Final Interview - Director, Market Research ...

Showing results 21-40

Remote Data Manager information

See Toronto, ON salary details

$10

$39

$76

How much do remote data manager jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote data manager in Toronto, ON is $39.49, according to ZipRecruiter salary data. Most workers in this role earn between $22.48 and $53.22 per hour, depending on experience, location, and employer.

What is a remote data manager?

A Remote Data Manager is a professional responsible for overseeing the collection, storage, organization, and analysis of data for an organization, while working from a location outside of a traditional office. They ensure data integrity, security, and compliance with relevant regulations. Their duties often include managing databases, setting data policies, and collaborating with teams to support data-driven decision making. Remote Data Managers use various digital tools to communicate and manage data remotely, making this role ideal for those seeking flexible work arrangements.

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

To thrive as a Remote Data Manager, you need a solid background in data management, database administration, and data analysis, typically supported by a degree in computer science or a related field. Expertise in tools such as SQL, data visualization platforms (e.g., Tableau or Power BI), and familiarity with data privacy regulations are commonly required, along with relevant certifications like CDMP or PMP. Strong organizational skills, attention to detail, and effective remote communication abilities set outstanding candidates apart. These skills ensure data integrity, facilitate collaboration across distributed teams, and drive data-driven decision-making within organizations.

What are some typical challenges faced by remote data managers when coordinating with cross-functional teams?

Remote Data Managers often need to collaborate with teams across different departments and time zones, which can make communication and project alignment challenging. They may face difficulties in ensuring data consistency, timely updates, and maintaining data security standards when team members are dispersed. Effective use of collaboration tools, clear documentation, and regular virtual meetings are essential to overcome these challenges and ensure smooth operations.

What is the difference between Remote Data Manager vs Data Analyst?

AspectRemote Data ManagerData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; experience with database managementBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentRemote, often within IT or data teamsRemote or on-site, within business or research teams
Employer & Industry UsageTech companies, healthcare, finance, where data management is criticalMarketing, finance, consulting, analyzing data trends

Remote Data Managers focus on maintaining and organizing data systems, ensuring data integrity, and managing databases remotely. Data Analysts interpret data, generate reports, and provide insights. While both roles work with data, the Remote Data Manager handles data infrastructure, whereas Data Analysts focus on analyzing data to support decision-making.

Infographic showing various Remote Data Manager job openings in Toronto, ON as of August 2026, with employment types broken down into 84% Full Time, and 16% Temporary. Highlights an 100% Remote job distribution, with an average salary of $82,144 per year, or $39.5 per hour.

Data Scientist

Epistemix

Toronto, ON โ€ข Remote

Full-time

Medical, Retirement

Re-posted 11 days ago


Job description

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.