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Remote Data Analysis Jobs in Ontario (NOW HIRING)

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

Intern Data

Toronto, ON · On-site +1

CA$29 - CA$40/hr

... and remote ecopeeps in the US. We get to work with some of North America and UK's leading ... Or rather analyzing how they work and the meaning behind their data? * You are currently a ...

Remote Role Responsibilities * Develop high-quality data for state-of-the-art large language models ... Evaluate and improve AI model performance through rigorous problem-solving and data analysis.

Data Analysts play a critical role in shaping GTM focus areas by uncovering insights, influencing ... We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ...

Remote - must live in EST or CST time zone Salary $70,000 - $85,000 + Bonus Potential Job Type ... Conduct market research and data analysis * Manage commission audits and payouts * Support basic ...

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

As a Data Quality Analyst, you will play a pivotal role in leveraging data to ensure the integrity ... This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

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Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
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:
Infographic showing various Remote Data Analysis job openings in Ontario as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Data Analysis Expert - Evaluator

Data Analysis Expert - Evaluator

Mercor

Toronto, ON • Remote

CA$80 - CA$120/hr

Full-time

Posted 17 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data analysis / quantitative readouts Evaluator
Type: Contract
Compensation: $80–$120/hour
Location: Remote

Role Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors in documents, spreadsheets, and slide decks.
  • Provide clear, structured written feedback to improve AI model outputs.
  • Apply deep subject-matter expertise to grade outputs for accuracy and rigor.
  • Work independently and asynchronously to meet deadlines while enhancing domain quality.

Qualifications

Must-Have

  • 5+ years of relevant professional experience in Data analysis / quantitative readouts.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides.

Preferred

  • Advanced degree (Master's or higher) from a reputable institution.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.