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Remote Data Analysis Jobs in Ontario (NOW HIRING)

Targeted Talent

Senior 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

Senior 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

Senior 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

Senior 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

Senior 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

Senior 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 ...

AutoTrader.ca

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with ... Ability to translate complex analysis into clear business recommendations. * Excellent English ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

... 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 ...

Morson Talent

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 ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

Req ID: 369008 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... The ideal candidate will have a strong background in implementing AI models, analyzing and ...

Lakeview Loan Servicing

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 ...

Morson Talent

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 ...

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Showing results 41-60

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.

L3 Data Management (GCP)

TELUS

Toronto, ON • On-site, Remote

Other

Re-posted 27 days ago

TELUS rating

8.2

Company rating: 8.2 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

23rd of 97 rated telecommunications companies

Job description

Description

Our team and what we'll accomplish together


Be a part of a transformational journey with us, where innovative talent meets cutting-edge technologies. At TELUS, the Data and AI Insights team is dedicated to making TELUS the most insights-driven company globally. We provide business intelligence, data assets, data products, business metrics and data Engineering that drive and enable BI and analytics to support over 15,000 employees across diverse internal teams.

We are seeking a motivated and skilled Data Management Professional with hands-on experience in Google Cloud Platform (GCP) and BigQuery (BQ) to join our dynamic team. The ideal candidate will have a solid background in data engineering, BI solutions, and cloud-based data pipelines, with some exposure to CI/CD practices. In this role, you will collaborate with cross-functional teams to help implement and manage cloud-based data solutions while ensuring quality, compliance, and performance. You will also have the opportunity to grow your skills under the mentorship of senior team members.

What you'll do

  • Contribute to the design and implementation of cloud-based data solutions on Google Cloud Platform (GCP) and BigQuery to support business intelligence (BI) and data analytics requirements
  • Support the development and maintenance of ETL (Extract, Transform, Load) processes and integration workflows to ingest, process, and transform data from various sources
  • Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics models, and applications
  • Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions
  • Assist in implementing change management and release management strategies to support smooth deployments
  • Follow the established Software Development Lifecycle (SDLC) process for cloud-based projects, including requirements gathering, development, testing, and documentation
  • Help enforce data compliance practices to protect data assets and support regulatory compliance (e.g., SOX)
  • Develop and optimize data models and explores within the Looker platform under guidance from senior team members
Qualifications
  • 4-6 years of experience with SQL / PL SQL, Stored Procedures, BigQuery, and data pipeline development
  • 2-3 years of experience in cloud-based data engineering with a focus on Google Cloud Platform (GCP)
  • Experience with version control tools (e.g., Git, Bitbucket) and CI/CD concepts
  • Familiarity with dashboard and visualization tools such as Tableau, Looker, or Looker Studio
  • Experience with data pipeline tools (e.g., Dataflow) and building datasets for analytics
  • Understanding of DevOps and automation principles
  • Strong communication and interpersonal skills with the ability to collaborate effectively with cross-functional teams

Great-to-haves

  • Cloud certifications (GCP Associate Cloud Engineer, GCP Professional Data Engineer, or equivalent)
  • Exposure to IaC tools such as Terraform or Pulumi
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes)
  • Experience with Snowflake or Postgres SQL
  • Knowledge of security and compliance standards (e.g., SOX, GDPR) for cloud environments
  • Experience with Azure or AWS
  • Bachelor's degree in Computer Engineering, Computer Science, or a related field

Join our team and be part of a dynamic environment where your expertise will make a significant impact on our success.

#LI-Remote #LI-HYBRID 

What TELUS employees say

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Hours and flexibility

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