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Remote Entry Level Data Analyst Jobs in Ontario (NOW HIRING)

Micro1

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

Micro1

Remote Materials Scientist / Engineer

Ottawa, ON · Remote

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

Micro1

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

Micro1

Remote Materials Scientist / Engineer

Oshawa, ON · Remote

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

Micro1

Remote Materials Scientist / Engineer

ON · Remote

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

Micro1

Remote Materials Scientist / Engineer

Sarnia, ON · Remote

Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise ... Analyze and interpret scientific data from experimental results, technical datasets, and research ...

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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 Ontario? The most popular types of Remote Data Analyst jobs in Ontario are:
What are popular job titles related to Remote Entry Level Data Analyst jobs in Ontario? For Remote Entry Level Data Analyst jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Ontario look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Ontario are:
What cities in Ontario are hiring for Remote Entry Level Data Analyst jobs? Cities in Ontario with the most Remote Entry Level Data Analyst job openings:
Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution.

Remote Materials Scientist / Engineer

Micro1

Oakville, ON • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Materials Scientist / Engineer
$80 - $130/hourpay
Required Skills
materials science expertise
materials characterization
technical literature review
scientific data interpretation
clear written and verbal communication
remote collaboration
annotating technical datasets
scenario and case study development
quality assurance in scientific deliverables
analytical skills
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Materials Scientist / Engineer


Role Type: Contractor


Location: Remote


micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.
  2. Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.
  3. Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.
  4. Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
  5. Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
  6. Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.
  7. Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.


Preferred Qualifications

  1. MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.
  2. Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).
  3. Strong analytical skills and experience interpreting complex scientific data.
  4. Substantial experience conducting technical literature reviews and summarizing key findings.
  5. Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
  6. Experience with quality assurance and review of scientific documents or datasets.
  7. Familiarity with remote collaboration tools and digital knowledge-sharing environments.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.


Apply