Senior Data Analyst – Card

Capital One

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

Posted 9/15/2026full-timeMcLean • Virginia • United StatesSenior💰 $101,100 - $126,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, data quality management, and business intelligence visualization, with proficiency in scripting languages such as Python, R, Spark, and SQL. Capable of building data solutions and collaborating with business partners to translate needs into actionable insights and tools.

Highest-signal resume keywords

Data AnalyticsBusiness Intelligence VisualizationScripting in Python, R, Spark, SQLData Quality ManagementAWS Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsScripting in PythonScripting in RScripting in SparkScripting in SQLBusiness Intelligence VisualizationData Quality ManagementData GovernanceData WarehousingData Analysis

Soft Skills

CollaborationConsultancyProblem SolvingCommunication

Tools & Technologies

AWS ServicesInformatica DQAgileLeanSix Sigma

Industry Keywords

Data Quality Management PrinciplesMetadataData LineageSelf-Service FrameworksData Visualization

Tech Stack

Tools & technologies

AWSInformaticaOpen 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 appropriate 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

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or a Master’s Degree with an expectation that the required degree will be obtained on or before 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 in various forms, including 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
Preferred: Master’s Degree in a STEM discipline
Preferred: At least 2 years of experience coding in Python, R, Spark, or SQL
Preferred: At least 2 years of experience with Agile, Lean, Six Sigma, or other process management and improvement methodologies
Preferred: At least 1 year of experience utilizing and developing within AWS services
Preferred: At least 1 year of experience with data governance, data quality management concepts, and data quality tools such as Informatica DQ

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
Reasonable accommodations for applicants with disabilities