Senior Data Analyst @ Capital One
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About the Role
At Capital One, data is at the center of everything we do. As a Senior Data Analyst, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
Core Responsibilities
This role involves three main types of work:
- Innovation: Use open source and digital technologies to mine complex and varied data sources and build self-service data solutions.
- Business Intelligence: Partner with business units to translate needs, develop metrics, dashboards, and provide insights through data visualization.
- Data Management: Ensure data quality management with metadata, lineage, and governance while collaborating with tech teams on security and access controls.
Qualifications
Basic Qualifications: Bachelor's degree in a quantitative field or progress toward a Master’s, with at least 2 years of experience in data analytics, proficiency in one scripting language, experience with BI visualization tools, and data querying.
Preferred Qualifications: Master’s degree, advanced coding (Python, R, Spark, SQL), AWS experience, knowledge of data governance and quality management, and familiarity with Agile, Lean, or Six Sigma methodologies.
Salary & Benefits
Salary ranges vary by location. For example, McLean, VA offers between 109,000 and 124,400. Additional performance-based incentives and a comprehensive benefits package are provided.
Equal Opportunity
Capital One is an equal opportunity employer committed to diversity and a drug-free workplace. Required accommodations are available through Capital One Recruiting.
Key skills/competency
- Data Analysis
- Business Intelligence
- Data Management
- Innovation
- Python
- SQL
- R
- AWS
- Spark
- Data Quality
How to Get Hired at Capital One
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to data analytics at Capital One.
- Emphasize technical skills: Highlight Python, SQL, R, AWS experience.
- Prepare business cases: Discuss BI and data management projects.
- Practice interview insights: Review common data analyst behavioral questions.