Associate, Data Analyst - 2026 Start at Capital One · Toronto

Associate, Data Analyst - 2026 Start Location: Toronto, ON 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Associate, Data Analyst - 2026 Start About Capital One Canada. For 30 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you! 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 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 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 on large/diverse datasets Basic Qualifications: Will have obtained a Bachelor’s degree or higher from April 2026 to September 2026 Pursuing a Bachelor's degree in Mathematics,  Computer Science, Engineering, or another quantitative discipline with a strong programming background Familiarity with SQL and/or data transformation tools such as dbt.  Python experience would also be an asset Experience building and maintaining data pipelines Ability to shape and develop requirements into practical solutions Ability to clearly explain technical terms to a non-technical audience Experience in a Unix/Linux environment, with Git, AWS, or APIs Excellent verbal and written communication skills Preferred Qualifications: Experience with backend technologies such as GoLang, AWS Lambda, S3. Experience with version control technology i.e. Git Experience with Jenkins CI/CD, microservices, API design / integration Working at Capital One. Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station. Live well—physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life. This posting is for an existing vacancy. The expected annual salary for this position is $90,000. 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. We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process. 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).