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Remote Data Analyst R Programming Jobs in Toronto, ON

25-199 - Data Engineer

Oshawa, ON ยท Remote

$92 - $100/hr

CHQ (Hybrid - 3 days remote), 1908 Colonel Sam Drive, Oshawa Job Overview As an Azure and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Data Scientist

Toronto, ON ยท On-site +1

Machine learning, data science, AI engineering, or applied analytics experience in industry or an ... Proficient programming skills in Python, R, Spark, or other open-source programming languages and ...

Data Scientist

Toronto, ON ยท On-site +1

Machine learning, data science, AI engineering, or applied analytics experience in industry or an ... Proficient programming skills in Python, R, Spark, or other open-source programming languages and ...

... using distributed and parallel programming techniques. * Must be well versed in general ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

... using distributed and parallel programming techniques. * Must be well versed in general ... Proficiencyin SQL, Python, R, or similar analytical tools. * Experience with data visualization ...

You demonstrate strong analytical and technical skills. You have experience with programming ... R, Hadoop, Spark, Alteryx, Tableau, Power BI, and Cognos. * You have data science expertise. You ...

You demonstrate strong analytical and technical skills. You have experience with programming ... R, Hadoop, Spark, Alteryx, Tableau, Power BI, and Cognos. * You have data science expertise. You ...

... 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 ...

Analytics Engineer - Consumer Data Science Check out our r/RedditEng post to learn more about the ... Generous Paid Parental Leave #LI-REMOTE

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Remote Data Analyst R Programming information

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Toronto, ON? The most popular types of Data Analyst R Programming jobs in Toronto, ON are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Toronto, ON? For Remote Data Analyst R Programming jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Toronto, ON look for? The top searched job categories for Remote Data Analyst R Programming jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Data Analyst R Programming jobs? Cities near Toronto, ON with the most Remote Data Analyst R Programming job openings:
Infographic showing various Remote Data Analyst R Programming job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Engineer - Machine Learning & Data Platforms - REMOTE

Talent To Hire Inc.

Toronto, ON โ€ข Remote

CA$125K - CA$140K/yr

Full-time

Re-posted 17 days ago


Job description

๐Ÿš€ Senior Data Engineer- Machine Learning & Data Platforms | Remote

Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a FT remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics.

You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.


๐Ÿ”ง What Youโ€™ll Do
  • Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets

  • Develop and optimize Spark-based data workflows supporting production ML systems

  • Collaborate closely with data scientists, ML engineers, and business stakeholders

  • Translate complex business needs into scalable, production-grade data solutions

  • Build feature engineering pipelines for time-series and predictive models

  • Ensure data quality, governance, security, and reliability across systems

  • Continuously improve data architecture, performance, and scalability


๐Ÿง  What You Bring
  • Min. 6+ years in data engineering or ML data pipeline development

  • Strong experience with Apache Spark, PySpark, Databricks, Delta Lake

  • Advanced skills in Python, SQL, and Airflow

  • Deep understanding of Medallion architecture and ETL design patterns

  • Experience building time-series features (rolling windows, lags, trend indicators)

  • Ability to work closely with ML teams and translate data into model-ready structures

  • Bachelorโ€™s or Masterโ€™s in Computer Science, Engineering, or related field


โญ Preferred Experience - we will highly consider candidates with below skills;
  • Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets

  • Experience working directly with machine learning teams or supporting ML model development

  • Hands-on experience in forecasting, demand planning, or similar data-heavy business domains

  • Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms)

  • Exposure to feature stores or ML training/serving consistency frameworks

  • Experience with IBM DataStage or legacy ETL modernization projects

  • Experience scaling distributed ML or time-series models in production environments


๐ŸŒ Why This Role

This is a strong fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

APPLY: sasha@talenttohire.com