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Principal Data Analyst – Analytics, Transformation
Capital One. Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities .
Posted 10/23/2026full-timeMcLean • Virginia • United StatesLead💰 $119,400 - $149,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, leveraging scripting languages such as Python, R, Spark, and SQL to build data solutions and tools. Proficient in utilizing business intelligence visualization tools and implementing data governance and quality management practices.
Highest-signal resume keywords
Data Analytics ExperienceScripting in Python, R, Spark, SQLBusiness Intelligence Visualization ToolsAWS Services DevelopmentData Governance and Quality Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsScripting LanguagesBusiness Intelligence VisualizationData QueryingData AnalysisData WarehousingSQLPythonRSpark
Soft Skills
CollaborationConsultancyCommunication
Tools & Technologies
AWS ServicesAgile MethodologiesLean MethodologiesSix Sigma
Industry Keywords
Data Quality ManagementData GovernanceFinancial Services
Tech Stack
Tools & technologiesAWSPythonSparkSQL
About the role
Key responsibilities & impact- Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities
- Mine complex, voluminous, and varied data sources and platforms using open-source and digital technologies
- Build data solutions, tools, and capabilities enabling self-service frameworks for data consumers
- Explore and quickly adopt new technologies to progress varied initiatives
- Partner with the business to provide consultancy and translate business needs into tools, techniques, metrics, and dashboards
- Drive analysis that provides meaningful insights on business strategies
- Promote adherence to data quality management principles, including metadata, lineage, and business definitions
- Collaborate with Technology teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
Requirements
What you’ll need- Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field plus at least 5 years of data analytics experience, or a Master’s Degree plus at least 3 years of data analytics experience; required degree must be obtained by the scheduled start date
- Degree specialized in a Science, Technology, Engineering, or Mathematics discipline
- 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 querying, analyzing, and working with data languages and platforms
- Scripting experience in Python, R, Spark, and SQL
- Experience with data warehouses/SQL and unstructured data
- Experience utilizing and developing within AWS services
- Preferred: Master’s Degree in a STEM discipline
- Preferred: At least 4 years coding in Python, R, Spark, or SQL
- Preferred: At least 4 years working within Agile, Lean, Six Sigma, or other process management and improvement methodologies
- Preferred: At least 2 years utilizing and developing within AWS services
- Preferred: At least 2 years delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
- Capital One will consider sponsoring a new qualified applicant for employment authorization
Benefits
Comp & perks- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
- Employment authorization sponsorship may be considered for a new qualified applicant
- Reasonable accommodations for applicants with disabilities