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Remote Applied Data Analytics Jobs in Toronto, ON

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

What You'll Bring * 7+ years of experience in Product Analytics, Data Analytics, or Applied Data Science. * Advanced SQL and strong Python skills. * Experience with data modeling and ELT/ETL tools (e ...

Senior / Staff Applied Scientist

Toronto, ON · On-site +1

CA$146K - CA$280K/yr

Qualifications: - Minimum of 6+ years of professional experience in an applied data science, advanced analytics, or machine learning role, with a track record of driving end-to-end projects. - MS/PhD ...

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

Qualifications - Minimum of 3+ years of professional experience in an analytical role (e.g., Data ... as applied to real-world performance measurement The US yearly salary range for this role is: $128 ...

We're building applied AI systems for high‑stakes, real‑world decisions . Our platform ingests ... This is a remote, part-time role (15-30 hours/week). Responsibilities & Scope: * Conduct ...

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 ... are applied throughout the data integration cycle. Support Business Intelligence Analysts in ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... are applied throughout the data integration cycle. Support Business Intelligence Analysts in ...

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 ...

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... are applied throughout the data integration cycle. Support Business Intelligence Analysts in ...

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Remote Applied Data Analytics information

What is a Remote Applied Data Analytics job?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

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

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Toronto, ON? For Remote Applied Data Analytics jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Applied Data Analytics jobs in Toronto, ON look for? The top searched job categories for Remote Applied Data Analytics jobs in Toronto, ON are:
Infographic showing various Remote Applied Data Analytics job openings in Toronto, ON as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Senior Data Analyst (m/f/d)

AutoTrader.ca

Toronto, ON • On-site, Remote

CA$110K - CA$140K/yr

Other

Retirement

Re-posted 20 days ago


Job description

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.  

Learn more at tradercorporation.com.  

As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond.  

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with Product, Engineering, Commercial, and Leadership teams to drive seller product performance through data. Your focus will include seller health, inventory, listings, packages, engagement, conversion, and retention. 

What You'll Do 

  • Partner with Product teams to define KPIs, measurement strategies, and roadmap priorities. 
  • Build and maintain trusted data models, ELT pipelines, and self-service datasets. 
  • Analyze seller onboarding, inventory, listing quality, engagement, package adoption, and lead performance.  
  • Identify opportunities to improve product usage, marketplace quality, and business outcomes.  
  • Support experimentation and impact measurement for product and AI-driven features. 
  • Deliver dashboards, automated reporting, and actionable insights.  
  • Use AI-assisted tools to improve analytics workflows, automation, and reporting.  
  • Build analytics agents and self-service solutions that help teams access metrics and trusted insights.  
  • Mentor more junior analysts and promote data-driven decision-making.  

What You'll Bring 

  • 7+ years of experience in Product Analytics, Data Analytics, or Applied Data Science. 
  • Advanced SQL and strong Python skills.  
  • Experience with data modeling and ELT/ETL tools (e.g., dbt, Airflow, Databricks). 
  • Strong knowledge of statistics, experimentation, causal inference, and KPI design.  
  • Experience partnering with Data Science and ML teams.  
  • Hands-on experience with AI tools for analytics, automation, and workflow improvement.  
  • Strong data visualization and storytelling skills (e.g., Tableau, QuickSight, Amplitude). 
  • Experience with modern data platforms such as BigQuery, Snowflake, Redshift, Athena, or Databricks. 
  • Ability to translate complex analysis into clear business recommendations.  
  • Excellent English communication skills.  

Nice to have 

  • Experience in marketplaces, classifieds, automotive, or subscription-based businesses. 
  • Knowledge of seller lifecycle, inventory performance, listing quality, and marketplace metrics.  
  • Familiarity with LLMs, RAG, analytics agents, semantic layers, and metrics stores.  
  • Experience with forecasting, anomaly detection, recommendation systems, or pricing optimization.  
  • Understanding of web/app tracking, event taxonomy, and analytics QA. 

What's in it for you 

We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best.   

  • Gym discounts
  • Employee and Family Assistance program
  • Virtual wellness events
  • Conferences & training budget
  • Regular internal training programs
  • Financial planning with 3% matching Pension  
  • Competitive salary
  • Annual bonus structure


The base salary range for this position is CAD $110k - $140k.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.