Senior Data Analyst – Card

Capital One

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

Posted 10/5/2026full-timeMcLean • Virginia • United StatesSenior💰 $101,100 - $126,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, utilizing scripting languages such as Python, R, Spark, and SQL, along with experience in business intelligence visualization tools and AWS services. Strong ability to translate business needs into actionable data solutions while ensuring adherence to data quality management principles.

Highest-signal resume keywords

Data AnalyticsScripting LanguagesBusiness Intelligence VisualizationAWS ServicesData Quality Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsScripting LanguagesSQLPythonRSparkBusiness Intelligence ToolsData WarehousingData QueryingData Analysis

Soft Skills

CollaborationConsultancyProblem-SolvingCommunication

Tools & Technologies

AWS ServicesBusiness Intelligence ToolsData Quality Monitoring Tools

Industry Keywords

Data SolutionsData GovernanceData Quality ManagementMetadataData Lineage

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

Requirements

What you’ll need

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Bachelor’s Degree in a quantitative field plus at least 2 years of experience performing data analytics, or Master’s Degree with the required degree obtained by the scheduled start date
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing a business intelligence visualization tool
At least 1 year 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
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)
Comprehensive health, financial, and other benefits supporting total well-being