Description
As a Principal Data Analyst on the Strategy and Analytics team at Capital One, you will leverage your deep expertise in SQL and data transformation to extract, model, and transform large, complex datasets to support consumers.
Key Responsibilities:
- Design and implement data cubes, warehouses, and other data models to serve users, defining and managing the analytics engineering and infrastructure roadmap.
- Level up data models, infrastructure, and dashboard interfaces to drive effective self-service, liaising with team members and data customers to understand and meet their analytical needs.
- Drive quality metadata and data discovery with a semantic layer for AI and humans, reviewing and refining AI-generated code and analyses.
- Act as a performing data steward, defining and enforcing data governance standards and managing metadata frameworks.
- Drive high data quality and observability throughout the data lifecycle.
- Support modernization and migration initiatives from legacy reporting platforms.
- Perform unit tests and conduct reviews with team members to ensure code is rigorously designed, elegantly coded, and effectively tuned for performance.
- Drive a single source of truth for trusted metrics and data.
Requirements:
- Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or a Master’s Degree plus at least 3 years performing data analytics.
- At least 3 years of experience working with at least one scripting language.
- At least 3 years of experience utilizing a business intelligence visualization tool.
- At least 3 years of experience in querying, analyzing, and working with data languages and platforms.
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 4 years of experience coding in Python, R, Spark, or SQL.
- At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 2 years of experience utilizing and developing within AWS services.
- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry.
Salary Information:
- New York, NY: $143,200 - $163,500 per year.
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being.