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Afternoon Data Analyst R Programming Jobs in Brampton, ON

... Data Analyst. This person is expected to execute the collection, composition, control and ... Requirements engineering and data modelling experience, 1-2 years * Experience with EDM platforms ...

... Programming Solid working knowledge of Python specifically Pandas NumPy or R for data manipulation and statistical analysis Spreadsheets Advanced Excel or Google Sheets skills IndexMatch Pivot Tables ...

Working closely with business stakeholders, data scientists, software engineers and IT partners, the Crew Data Solutions Analyst ensures data solutions are robust, performance, secure and aligned ...

Data Analyst, SMB Self-Serve

Toronto, ON

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Data and analytics are at the heart of Lyft Business's products and decision-making. We're looking ... Partner closely with Product and Engineering to validate instrumentation and surface data gaps ...

Data Platform Analyst (Azure)

Markham, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Engineer Location: Markham, ON Hybrid Amphenol Communications Solutions (ACS), a ... This role involves working closely with Data Analysts, the ERP Team, and other business units to ...

Data Platform Analyst (Azure)

Markham, ON · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Azure Data Engineer Location: Markham, ON Hybrid Amphenol Communications Solutions (ACS), a ... This role involves working closely with Data Analysts, the ERP Team, and other business units to ...

Supply Chain Data Analyst

Toronto, ON

  • Medical

  • Dental

  • Retirement

  • PTO

Supply Chain Data Analyst Primary Job Location: Toronto, ON, Canada Location Flexibility: Hybrid ... You sit between the data and the engineers. You have to translate what you see into something a dev ...

Supply Chain Data Analyst

Toronto, ON · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Supply Chain Data Analyst Primary Job Location: Toronto, ON, Canada Location Flexibility: Hybrid ... You sit between the data and the engineers. You have to translate what you see into something a dev ...

Senior Data Analytics Consultant

Toronto, ON · On-site

CA$90K - CA$105K/yr

Experience programming in a language such as VBA, R, or Python is desired. * Advanced technical ... Ability to analyze data and provide valuable insights. * Strong interpersonal, communication and ...

Senior Data Analyst, Live Games

Toronto, ON · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... engineering to analyze what is happening in our games, why it is happening, and what we should do ... Python, R, or similar scripting languages for data transformation, analysis, automation, or ...

Showing results 41-60

Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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 Afternoon Data Analyst R Programming jobs in Brampton, ON?

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

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

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

Infographic showing various Afternoon Data Analyst R Programming job openings in Brampton, ON as of July 2026, with employment types broken down into 1% As Needed, 59% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.

Senior Associate, Data Analyst

Capital One

Toronto, ON

Full-time

Re-posted yesterday


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Associate, Data Analyst

About Capital One Canada

For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

We're driven by what's possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians. Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking.

We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you'll take full accountability for your path, upskilling through hands-on experience and mentorship, to turn your curiosity into a career built on your own terms.

Are you ready to redefine what's next?

About the Team

Data is at the centre of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL. You will be a creative data wrangler, comfortable with extracting, transforming and analyzing large, complex datasets to uncover new narratives. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, query optimization techniques and best practices for data governance. Ultimately, you will be a proactive collaborator, skilled at articulating complex ideas through data visualization tools like QuickSight, Tableau or Matplotlib and eagerly sharing your knowledge across diverse teams.

About the Role

In this role, you will serve as a vital partner to the business, influencing strategy and execution across key areas like fraud prevention, credit risk or marketing. This role requires a blend of advanced technical analysis skills and strong business acumen to tackle complex challenges and deliver groundbreaking solutions. You will be responsible for translating technical insights into clear, concise and actionable strategic recommendations. Success in this position involves working effectively with both technical and non-technical stakeholders to implement strategies and innovative solutions that enhance performance, mitigate risk and drive profitable growth.

Your Responsibilities:

  • Strategic Stakeholder Partnership & Business Recommendations: Engage directly with senior stakeholders (e.g., line-of-business leads, product owners, risk management) to deeply understand business goals, challenges and decision needs. Partner with them to prioritize initiatives and refine strategies. Drive business strategy by proactively identifying, quantifying risks and translating complex analysis into compelling, concise recommendations that guide critical roadmap and decision-making processes.

  • Actionable Insight and Executive Storytelling: Draw clear business conclusions and present comprehensive insights that explain "what happened," "why it happened," "what it means" and "what we recommend doing next" (including risk mitigation or growth levers). Design and deploy rich data visualizations and craft crisp, executive-ready narratives and dashboards to empower senior leadership to make high-stakes decisions efficiently.

  • End-to-End Data Analysis and Execution: Lead the full data analysis lifecycle, translating complex business problems into defined specifications and final implemented solutions.

  • Data Preparation & Transformation: Apply expert-level SQL skills to efficiently transform raw data into clean, accessible datasets for yourself and other analysts.

  • Governance, Reporting and Automation: Build, automate and maintain critical business reporting and controls for processes and proactively identify and deliver process improvements for efficiency.


Basic Qualifications:

  • At least 2 years of professional experience with SQL (e.g., Snowflake, MySQL, SQL Server, PostgreSQL, Microsoft SQL Server, Oracle, etc.).

  • Proficient in SQL for data extraction, wrangling and advanced analytics including Joins, Window Functions, CTEs, Aggregations and performance trending across large enterprise data environments.


Preferred Qualifications:

  • Bachelor's or Master's Degree in a quantitative field such as Data Analytics, Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline.

  • At least 1 year of professional experience using dbt (data build tool) for data transformation, modeling and maintaining a production-ready data warehouse.

  • At least 1 year of experience applying strong analytical and mathematical skills to solve complex business problems.

  • Effective stakeholder management experience with strong skills in communication, negotiation, strategic thinking, influence and technical abilities is highly desirable.

  • Proficient in data analysis within a cloud environment, including experience with open-source programming (e.g., Python), advanced SQL for large datasets (e.g. Snowflake), version control (e.g. Git/GitHub) and cloud services (e.g. AWS).

  • Experience with Linux or equivalent is preferred.

Working at Capital One.

You'll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.

  • Take ownership of your own potential: Whether you're looking to upskill, pivot into new business areas, or master your craft, you'll have access to tools and mentorship to reach your potential and define your career trajectory.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model - with 3 days in the office per week - that gives room for both collaboration and personal commitments.

  • Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You'll find that Capital One is committed to helping you thrive and evolve every step of the way.

This posting is for an existing vacancy.

The expected annual salary range for this position is $112,240 to $128,100. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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