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Remote Data Analyst R Programming Jobs in Brampton, ON

... 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 ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

In parallel, this individual will help enable downstream analytics, reporting, product capabilities ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine ... Strong programming skills in languages such as Python * Hands-on experience with ML frameworks ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data ... Review model-generated implementations involving ETL pipelines , data warehouses , analytics ...

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data ... Review model-generated implementations involving ETL pipelines , data warehouses , analytics ...

Strong programming and scripting skills (Python preferred; R, SQL, Java, or bash also valued ... Enjoy a flexible, remote-friendly team culture along with a competitive salary, benefits, and ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Showing results 21-40

Remote Data Analyst R Programming information

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 key skills and qualifications needed to thrive as a remote data analyst specializing in R programming?

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 are the most commonly searched types of Data Analyst R Programming jobs in Brampton, ON?

The most popular types of Data Analyst R Programming jobs in Brampton, ON are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Brampton, ON?

For Remote Data Analyst R Programming jobs in Brampton, ON, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Brampton, ON look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Remote Data Analyst R Programming jobs?

Cities near Brampton, ON with the most Remote Data Analyst R Programming job openings:

Infographic showing various Remote Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 69% Full Time, 10% Temporary, and 21% Contract. Highlights an 100% Remote job distribution.

Senior / Lead Data Engineer

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 5 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job title: Senior/Lead Data Engineer

Current Need:

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well asmaintainingdata definitions, business rules, and lineage.Additionalduties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conductingdifferent typesof testing(functional, regression, exploratory), and preparing and executing test cases and plans.

Key Responsibilities

  • Support a cross-functional team andprovidein-depth data insights for complex business problems that can be approached with advanced analytics

  • Work closely with the other Data Engineers and Scientists to deliver results

  • Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights

  • Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria

  • Leverage tools and resources to plan,evaluateand execute strategic initiatives

  • Strong delegation and management skills to ensure work is conducted ina timely, quality fashion by internal and external partners and multi-shore teams/resources.

  • Continuously improve andoptimizebusiness processes and operations.Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.

  • Data Engineering and Analytics support

  • Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.

  • Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies,toolsand processes.

  • Implements data governance practices in partnership with business stakeholders and peers, data governance officeteamsand solution teams to advocate for data literacy and data democratization across enterprise.

  • Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode

  • Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.

  • Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure (IaC- Infrastructure as Code)

  • Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...

  • Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build approaches andexecute onanalytical use cases. Specific experience withSnowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk,Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial.

  • Communicateresults and educate others through reports and presentations.

Minimum Job Qualifications(Knowledge, Skills, & Abilities):

Education/Training -

  • Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield.

  • 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.

  • Proficiencyin SQL, Python, R, or similar analytical tools.

  • Experience with data visualization platforms such as Power BI, Tableau, or Looker.

  • Strong understanding of statistical analysis, predictive modeling, and data mining techniques.

  • Experience with analytical tools such as Databricks & Snowflake

  • Excellent communication and stakeholder management skills.

  • Ability to manage multiple projects and priorities in a fast-paced environment.

Specialized Knowledge/Skills -

  • Leadership Skills:Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This positionoperatesunder consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.

  • Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-termobjectives.

  • Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Working Conditions:Environment (Office, warehouse, etc.) -

  • Traditional officeenvironment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!


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