Principal Data Analyst – Risk Product Data

Capital One

. Use open source and digital technologies to mine complex, voluminous, and varied data sources and platforms .

Posted 10/28/2026full-timeUnited StatesLead💰 $119,400 - $149,800 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, alongside proficiency in business intelligence visualization tools. Strong understanding of data quality management principles and experience with AWS services to build effective data solutions.

Highest-signal resume keywords

Data Analytics ExperienceScripting In Python, R, Spark, SQLBusiness Intelligence Visualization ToolsData Quality ManagementAWS Services Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsScripting LanguagesBusiness Intelligence ToolsData QueryingData AnalysisData WarehousingSQLPythonRSpark

Soft Skills

CollaborationConsultancyProblem-SolvingCommunication

Tools & Technologies

AWS ServicesData Visualization ToolsAgile MethodologiesLean MethodologiesSix Sigma

Industry Keywords

Data GovernanceData Quality ManagementFinancial ServicesMetadataData Lineage

Tech Stack

Tools & technologies

AWSOpen SourcePythonSparkSQL

About the role

Key responsibilities & impact

Use open source and digital technologies to mine complex, voluminous, and varied data sources and platforms
Build well-managed 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 for insights and data visualization
Drive analysis that provides meaningful insights into business strategies
Drive understanding and 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

Requirements

What you’ll need

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
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
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 of experience coding in Python, R, Spark, or SQL
Preferred: At least 4 years of experience with Agile, Lean, Six Sigma, or other process management and improvement methodologies
Preferred: At least 2 years of experience utilizing and developing within AWS services
Preferred: At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices in financial services
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 health, financial, and other benefits supporting total well-being
Hybrid work arrangement