Senior Associate, Data Analyst
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Key skills for this role
About the Role
Capital One is seeking a Senior Associate Data Analyst to partner with business stakeholders on fraud prevention, credit risk, or marketing. You will leverage expert SQL skills to extract, transform, and analyze large datasets, and translate insights into actionable recommendations.
Key Skills for This Role
Responsibilities
- Engage directly with senior stakeholders to deeply understand business goals, challenges and decision needs.
- Drive business strategy by proactively identifying, quantifying risks and translating complex analysis into compelling, concise recommendations.
- Draw clear business conclusions and present comprehensive insights that explain 'what happened,' 'why it happened,' 'what it means' and 'what we recommend doing next'.
- Design and deploy rich data visualizations and craft crisp, executive ready narratives and dashboards.
- Lead the full data analysis lifecycle, translating complex business problems into defined specifications and final implemented solutions.
- Apply expert level SQL skills to efficiently transform raw data into clean, accessible datasets.
- Build, automate and maintain critical business reporting and controls for processes and proactively identify and deliver process improvements for efficiency.
Requirements
- 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
Full Job Posting
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.
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.
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.
Your Responsibilities
- Strategic Stakeholder Partnership & Business Recommendations: Engage directly with senior stakeholders to deeply understand business goals, challenges and decision needs.
- 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'.
- 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.
Benefits
- 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.
- Up to CAD 3000 in mental health coverage and up to CAD 5000 in tuition subsidies per year.
Salary Range
- The expected annual salary range for this position is CAD 94,800 CAD 108,200.
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es).
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