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

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 ...

Sleep Country Canada is looking for a Senior Data Engineer to play a critical role in designing ... Associate Discount Program where you will be able to enjoy some of the world's best sleep products

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We are seeking a Senior Associate to support client engagements focused on complex operations and ... Work with data from multiple systems and sources. * Support documentation of business rules, data ...

Senior Associate, Global Research Group Location: (Hybrid 3 days/ week in-office) Toronto, Canada ... Conduct rigorous quality assurance checks to ensure data accuracy and reporting excellence.

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

Communicate complex technical concepts to non-technical stakeholders and present findings to senior management. Visualize complex data clearly and concisely for business consumption. Qualifications ...

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Senior Data Associate information

What is a senior data associate?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do senior data associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.

What are the key skills and qualifications needed to thrive as a senior data associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

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

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Senior Data jobs in Toronto, ON?

The most popular types of Senior Data jobs in Toronto, ON are:

What are popular job titles related to Senior Data Associate jobs in Toronto, ON?

For Senior Data Associate jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Data Associate jobs in Toronto, ON look for?

The top searched job categories for Senior Data Associate jobs in Toronto, ON are:

Infographic showing various Senior Data Associate job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Associate, Data Analyst

Toronto, ON • On-site


Capital One
Funds, Trusts and Financial Programs • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

93rd of 172 rated banks

Good employer

Recommended by students

Paid breaks


Full-time

Re-posted 7 days ago


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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