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Associate Data Analyst Jobs in Toronto, ON (NOW HIRING)

Capital Mrkts Sales & Service, Data Analytics & Reporting BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations ...

Experience: * 5+ years of experience supporting and maintaining complex data and server infrastructure to enable data analytics and business intelligence reporting * Strong technical expertise in SQL ...

The Manager, Data Analyst supports the Canadian Technology Data Engineering team by delivering ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Associate Director, Data Sciences Location: Mississauga, Ontario, Canada. Work Model: Hybrid. Role ... Proactively identify and prioritize AI opportunities through market analysis and stakeholder ...

Data Analyst We are seeking a highly analytical and detailoriented Data Analyst to turn data into actionable business insights In this role you will be responsible for managing data collections ...

Data Analyst We are seeking a highly analytical and detailoriented Data Analyst to turn data into actionable business insights In this role you will be responsible for managing data collections ...

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Associate Data Analyst information

See Toronto, ON salary details

$11

$22

$29

How much do associate data analyst jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for associate data analyst in Toronto, ON is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $17.89 and $26.84 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an Associate Data Analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Toronto, ON? The most popular types of Data Analyst jobs in Toronto, ON are:
What job categories do people searching Associate Data Analyst jobs in Toronto, ON look for? The top searched job categories for Associate Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Associate Data Analyst jobs? Cities near Toronto, ON with the most Associate Data Analyst job openings:
Infographic showing various Associate Data Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution, with an average salary of $46,262 per year, or $22.2 per hour.
Senior Associate, Data Analyst

Senior Associate, Data Analyst

Capital One

Toronto, ON • Hybrid

Full-time

Posted 9 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

91st of 170 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 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

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.

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 range for this position is $94,800 - $108,200. 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.

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).


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