Principal Data Analyst

Capital One

. Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities .

Posted 10/30/2026full-timeUnited StatesLead💰 $119,400 - $163,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, utilizing scripting languages such as Python, R, Spark, and SQL, while ensuring data quality management and governance within the financial services industry. Proficient in building data solutions and visualizations that drive data-driven decision-making and operational excellence.

Highest-signal resume keywords

Data AnalyticsScripting Languages (Python, R, Spark, SQL)Business Intelligence Visualization ToolsData Quality ManagementAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsScripting LanguagesBusiness Intelligence VisualizationQuerying DataData WarehousingSQLUnstructured DataData GovernanceData Quality ManagementData Solutions Development

Soft Skills

Analytical SkillsCollaborationConsultancyProblem-SolvingCommunication

Tools & Technologies

AWS ServicesBusiness Intelligence ToolsData PlatformsData Monitoring ToolsData Access Governance

Industry Keywords

Financial ServicesData Quality Management PrinciplesMetadataData LineageOperational Excellence

Tech Stack

Tools & technologies

AWSOpen SourcePythonSparkSQL

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/digital technologies
Build data solutions, tools, and capabilities enabling self-service frameworks for data consumers
Explore and quickly grasp 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 Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Contribute to data-driven decision-making and operational excellence across the enterprise

Requirements

What you’ll need

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Bachelor’s Degree in a 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
Required degree must 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
Scripting experience in Python, R, Spark, and SQL
Experience with data warehouses/SQL and unstructured data
Experience utilizing and developing within AWS services
Familiarity with data governance and data quality management concepts and practices within the financial services industry
No agencies please

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) 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
Hybrid work arrangement