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Capital One
Capital One

Specializing in credit cards, auto loans, banking, and savings accounts, headquartered in Tysons, Virginia, with operations primarily in the United...

Senior Associate, Data Analyst

직무데이터 분석
경력시니어급
위치Toronto, ON, Canada
근무오피스 출근
고용정규직
게시2개월 전
지원하기

복지 및 혜택

의료보험

401k

원격 근무

유연 근무제

심리상담 지원

교육비 지원

홈오피스 지원

필수 스킬

SQL

Data extraction

Data wrangling

Data Analysis

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 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, 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.

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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Capital One 소개

Capital One

A financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.

10,001+

직원 수

Mclean

본사 위치

$30B

기업 가치

리뷰

10개 리뷰

3.9

10개 리뷰

워라밸

3.2

보상

4.0

문화

3.8

커리어

3.5

경영진

3.7

72%

지인 추천률

장점

Flexible work arrangements and hours

Great team dynamics and collaboration

Competitive salary and excellent benefits

단점

High workload and pressure during peak times

Fast-paced and overwhelming environment

Limited career advancement opportunities

연봉 정보

94개 데이터

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0개 리포트

$81,250

총 연봉

기본급

$32,500

주식

$40,625

보너스

$8,125

$56,875

$105,625

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 40%

보통 60%

부정 0%

면접 과정

1

Application Review

2

Online Assessment (CodeSignal)

3

Recruiter Phone Screen

4

Technical Interview

5

Behavioral Interview

6

Power Day/Super Day

7

Final Round/Offer

자주 나오는 질문

Coding/Algorithm

Data Analysis

Behavioral/STAR

Technical Knowledge

System Design