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

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 ...

... 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 ...

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 ...

Halifax, NS (100% remote) Work Schedule: 40 hrs/wk Description: The HR Technology Analyst will work ... data analysis to identify trends and insights that inform HR strategies Qualifications 1.

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

... analytics, reporting, product capabilities, and AI systems by ensuring that data is trustworthy, accessible, and fit for purpose. This is a fully remote position that offers a competitive salary ...

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems.This person ...

Sr. Data Specialist

Mississauga, ON · On-site +1

CA$99K - CA$132K/yr

This individual will provide in-depth advanced data product architecture and engineering and analytical insight, while working in a collaborative environment to solve business problems.This person ...

Manager, Marketing Insights & Analytics

Toronto, ON · On-site +1

CA$115K - CA$130K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Experience performing data analysis, data mining, and statistical modeling. * Understanding of ...

New

25-063 Business Analyst

Toronto, ON · On-site +1

$80 - $95/hr

... remote) Job Overview The ERP Program Business Analyst, reporting into the Digital Technology ... Industry Analysis & Benchmarking: Conduct in-depth analysis of industry data, such as 10-K ...

Remote Role Responsibilities * Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts. * Score AI ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data ... Review model-generated implementations involving ETL pipelines , data warehouses , analytics ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data ... Review model-generated implementations involving ETL pipelines , data warehouses , analytics ...

Showing results 41-60

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Toronto, ON?

The most popular types of Data Analysis jobs in Toronto, ON are:

What are popular job titles related to Remote Data Analysis jobs in Toronto, ON?

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

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

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

What cities near Toronto, ON are hiring for Remote Data Analysis jobs?

Cities near Toronto, ON with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Data Scientist

Epistemix

Toronto, ON • Remote

Full-time

Medical, Retirement

Re-posted 16 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.