Senior Associate, Data Analyst

Senior Associate, Data Analyst page is loaded## Senior Associate, Data Analyst locations:
Toronto, ONtime type:
Full time posted on:
Posted Yesterday job requisition :
R Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Associate, Data Analyst
**** About Capital One Canada
**** For over 20 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 Quick Sight, 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, Postgre

SQL, 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…