Associate, Data Analyst - New Grad, 2027 Start
Toronto, ON
- Pay
$100,000/year — pay source
This posting is for an existing vacancy. The expected annual salary for this position is $100,000. 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. We embrace 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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAs a Data Analytics Associate, you will work with cross-functional teams to develop tools and data structures.
You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.
Create, enhance and maintain critical data pipelines and processes.
Build, automate, and maintain critical business reporting and visualizations that helps deliver insights.
From the employer’s posting
As a Data Analytics Associate, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.
About the Role As a Data Analytics Associate, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment. Your Responsibilities:
Transform raw data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making. Create, enhance and maintain critical data pipelines and processes. Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use.
Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use. Build, automate, and maintain critical business reporting and visualizations that helps deliver insights. Perform investigative analysis leveraging large/diverse datasets.
What you’ll bring
All qualificationsCore experience
- Familiarity with SQL and/or data transformation tools such as dbt.
- Experience building and maintaining data pipelines.
- Ability to clearly explain technical terms to a non-technical audience.
Preferred experience
- Experience in a Linux environment
- Experience using Git or other version control systems
- Experience with AWS or other cloud service providers
Qualification wording
Familiarity with SQL and/or data transformation tools such as dbt.
Experience building and maintaining data pipelines.
Ability to clearly explain technical terms to a non-technical audience.
Experience in a Linux environment
Experience using Git or other version control systems
Experience with AWS or other cloud service providers
Education & alternatives
Basic Qualifications: - Will have obtained a Bachelor’s degree or higher in 2027. - Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background.
- Will have obtained a Bachelor’s degree or higher in 2027. - Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background. - Familiarity with SQL and/or data transformation tools such as dbt.
Tools in this posting
- SQL
- AWS
- Snowflake
- Python
- dbt
Source — Tool mentions in context
- Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background. - Familiarity with SQL and/or data transformation tools such as dbt. - Experience building and maintaining data pipelines.
- Experience using Git or other version control systems - Experience with AWS or other cloud service providers - Excellent verbal and written communication skills
Your Responsibilities: - Transform raw data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making. - Create, enhance and maintain critical data pipelines and processes.
- Experience in a Linux environment - Experience using Python - Experience using Git or other version control systems
Benefits in the posting
Full benefits wording- A supportive community from day one: Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you’ll get foundational training while building connections with your peers and leaders – cultivating a supportive community you can lean on for support and guidance.
- The expected annual salary for this position is $100,000. 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.
From the employer’s posting.
About Capitalone
For 30 years, we’ve been on a mission to change banking for good.
In the employer’s words · Read in context
Job description
MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.
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.
You’ll be empowered to grow your career in a supportive environment where you can own and shape your journey on your own terms. You’ll redefine what’s possible by contributing to work that impacts millions of Canadians, taking ownership of your decisions and outcomes, supported by mentors who will push you to think bigger and challenge the status quo.
Are you ready to redefine what’s next?
About the Team
Capital One is more than you think. We're a data-driven tech company that just happens to do credit cards. We focus on customer-first solutions, and we're united with this common goal. We have all the advantages of a startup, with the resources of a big company. Working here means you're curious, innovative spirit will be encouraged as you push boundaries and try new things, while your career is nurtured and supported. Our environment is creative and filled with teams that are passionate about the dynamic work they're doing. We're ahead of other banks in tech and we want to keep it that way.
About the Role
As a Data Analytics Associate, you will work with cross-functional teams to develop tools and data structures. As a creative problem-solver, you will be challenged to consider multiple options and select the optimal solution to meet the needs of your customers. You will own the recommendation and resolution to an existing business problem and will be involved end to end, from problem identification to solution deployment.
Your Responsibilities:
Transform raw data into data structures in our data lake and Snowflake data warehouse that are leveraged for business decision making.
Create, enhance and maintain critical data pipelines and processes.
Act as a steward for our data: ensuring it is high quality, trustworthy, well documented, and easy to use.
Build, automate, and maintain critical business reporting and visualizations that helps deliver insights.
Perform investigative analysis leveraging large/diverse datasets.
Basic Qualifications:
Will have obtained a Bachelor’s degree or higher in 2027.
Pursuing a Bachelor's degree in Mathematics, Computer Science, Engineering, or another quantitative discipline with a strong coding background.
Familiarity with SQL and/or data transformation tools such as dbt.
Experience building and maintaining data pipelines.
Ability to clearly explain technical terms to a non-technical audience.
Preferred Qualifications:
Experience in a Linux environment
Experience using Python
Experience using Git or other version control systems
Experience with AWS or other cloud service providers
Excellent verbal and written communication skills
Previous intern experience
Working at Capital One
Here you’ll uncover personal strengths, explore new interests and make an impact that matters. The work you’ll find here will keep you inspired and guide you in your career journey.
Take ownership of your own potential: As you begin your career, you’ll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential.
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.
A supportive community from day one: Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you’ll get foundational training while building connections with your peers and leaders – cultivating a supportive community you can lean on for support and guidance.
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 for this position is $100,000. 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.
We embrace 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).
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on capitalone.wd12.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This posting is for an existing vacancy. The expected annual salary for this position is $100,000. 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. We embrace 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.
- Location & working pattern
Toronto, ON
- Take ownership of your own potential: As you begin your career, you’ll define your own path by gaining exposure across the business, learning new skills, and having access to tools and mentorship to understand your potential. - 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. - A supportive community from day one: Through our robust onboarding program, orientation sessions, buddy program for new hires and early career development programs, you’ll get foundational training while building connections with your peers and leaders – cultivating a supportive community you can lean on for support and guidance.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 9, 2026
- Recorded sightings
- 24
- Last seen by us
- Sep 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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