Description
As a Principal Data Analyst at Capital One, you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
The Bank Tech Analytics team is a group dedicated to advancing data-driven decision-making and operational excellence across the enterprise, delivering comprehensive services for Bank Tech while actively contributing back to the broader organization.
Your responsibilities will include:
Innovation
- Using Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Building well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrating ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
- Partnering with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Driving analysis that provides meaningful insights on business strategies
Data Management
- Driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Working collaboratively with Tech teams to manage security mechanisms and data access governance
- Building and executing tools to monitor and report on data quality
The ideal candidate will have:
- A degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in Python, R, Spark, and SQL
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within AWS services
Basic Qualifications:
- 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 with an expectation that required degree will be obtained on or before the scheduled start date.
- 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
The salary ranges for this role are:
- McLean, VA: $131,300 - $149,800
- New York, NY: $143,200 - $163,500
- Richmond, VA: $119,400 - $136,200
This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.