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Remote Data Analysis Jobs in Ontario (NOW HIRING)

NTT DATA Services

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

NTT DATA Services

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Use SQL to support reporting, troubleshooting, data analysis, trade feed monitoring, and ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

McLean & Company

Analyst, Program Delivery

Toronto, ON · Remote

Remote within Canada. Flex of hours may occasionally be required to accommodate clients in other ... Conduct ad hoc data analysis to uncover insights, support decision-making, and help solve complex ...

McLean & Company

Analyst, Program Delivery

London, ON · Remote

Remote within Canada. Flex of hours may occasionally be required to accommodate clients in other ... Conduct ad hoc data analysis to uncover insights, support decision-making, and help solve complex ...

Targeted Talent

Data Scientist

Ottawa, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Td

Business Data Analyst

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Reporting to the Senior Product Manager, RESL Data Governance and Management, the Business Data Analyst role has the following key accountabilities: * Undergraduate degree required, advanced ...

Targeted Talent

Data Scientist

Kitchener, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Data Scientist

Ottawa, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Data Scientist

Waterloo, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Data Scientist

Waterloo, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Targeted Talent

Data Scientist

Kitchener, ON · Remote

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

Mercor

Investment Research Analyst

Toronto, ON · Remote

CA$105/hr

Remote Commitment: 10-20 hours/week Role Responsibilities * Conduct equity and macroeconomic ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

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All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Ontario

Remote Data Analysis information

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.

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.

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.

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 are the most commonly searched types of Data Analysis jobs in Ontario? The most popular types of Data Analysis jobs in Ontario are:
What are popular job titles related to Remote Data Analysis jobs in Ontario? For Remote Data Analysis jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Ontario look for? The top searched job categories for Remote Data Analysis jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Analysis jobs? Cities in Ontario with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, International

DoorDash Canada

Toronto, ON • On-site, Remote

Full-time

Re-posted yesterday

Job description

About the Team

The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash.

About the Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. 

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will...
  • Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools
  • Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
  • Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
  • Identify and measure levers to help move essential metrics and make recommendations
  • Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering and set priorities
  • Be excited to travel to meet with business partners and the teams in each market
We're excited about you because... 
  • 3+ years of experience in data analytics, consulting, or related role
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
  • The determination to initiate and lead/own strategic projects to completion with a cross-functional team
  • Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
  • Proficiency in at least one programming language (Python, R,...)
  • Expertise with SQL queries, ETLs, etc... 
  • Proficiency in one or more analytics & visualization tools
  • Experience building and training statistical and machine learning models (classifiers, regression models...)

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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