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Remote Entry Level Data Analyst Jobs in Toronto, ON

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.

This role can be remote but needs to be able to visit local businesses in the GTA. What you'll do ... Data Continuity, Monitoring, and AAS offerings. * Demonstrate excellent customer service skills ...

... data management. From product development to implementation, our unified Enterprise Imaging ... Remote: Canada / US What You'll Do: * Provide telephone and remote access, consultation and ...

Systems Analyst II

Toronto, ON · Remote

CA$57K - CA$67K/yr

Remote (Canada) We are seeking a curious, solution-oriented Systems Analyst II who thrives in an ... data, strong service delivery, and adherence to service level agreements. * Support Client Success:

Product Support Analyst - Accounting

Toronto, ON · On-site +1

CA$50K - CA$60K/yr

This role is remote and open to candidates who reside in and are eligible to work in Canada What ... You are able to analyze data, utilize problem-solving/troubleshooting skills, and provide the best ...

Jr. Quality Assurance Analyst

Toronto, ON · On-site +1

CA$50K - CA$60K/yr

Remote (Canada) Job Function: Retirement and Benefits Solutions Status: Permanent full-time ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

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Remote Entry Level Data Analyst information

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant coursework or certifications. Many companies offer remote work options for entry-level analysts, especially in tech, finance, and consulting industries.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

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

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Toronto, ON? The most popular types of Remote Data Analyst jobs in Toronto, ON are:
What are popular job titles related to Remote Entry Level Data Analyst jobs in Toronto, ON? For Remote Entry Level Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Toronto, ON look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Entry Level Data Analyst jobs? Cities near Toronto, ON with the most Remote Entry Level Data Analyst job openings:
Infographic showing various Remote Entry Level Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 100% Remote job distribution.

Automated Planning PhD - AI Expert

Mercor

Toronto, ON • Remote

CA$55 - CA$80/hr

Full-time

Re-posted 14 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: Automated CS Planning PhDs & Domain Experts — Zion (Arches)
Type: Contract
Compensation: $55–$80/hour
Location: Remote

Role Responsibilities

  • Develop high-quality data for state-of-the-art large language models by creating complex problems in your domain.
  • Evaluate and improve AI model performance through rigorous problem-solving and data analysis.
  • Collaborate with AI research teams to enhance the quality and applicability of training data.
  • Work independently and asynchronously to meet project deadlines and goals.
  • Provide expert insights into automated planning and symbolic AI to inform future AI innovations.

Qualifications

Must-Have

  • PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research.
  • Focus on automated planning / symbolic AI.
  • High attention to detail.
  • Exceptional written and verbal communication skills.

Interview Process

  • Complete a short interview and task (20–30 mins).
  • Paid for up to 1 hour of onboarding time including videos if hired.

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.