Principal Data Analyst – Strategy and Analytics

Capital One

Data Analyst at Capital One leveraging analytic and technical skills to innovate and maintain data solutions. Collaborating with business units for insights and data visualization.

Posted 7/10/2026full-timeMcLean • New York, Virginia • 🇺🇸 United StatesLead💰 $131,300 - $163,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analytics, leveraging scripting languages such as Python, R, and SQL to derive insights from complex data sources. Proficient in statistical methods and machine learning techniques to enhance business strategies and ensure data quality.

Highest-signal resume keywords

Data AnalyticsPython ScriptingMachine LearningBusiness Intelligence VisualizationData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsPythonRSparkSQLStatistical AnalysisMachine LearningRegressionClusteringCausal Inference

Soft Skills

ConsultancyCollaboration

Tools & Technologies

Business Intelligence ToolsData Warehouses

Industry Keywords

Data SolutionsData QualityData Access GovernanceUnstructured Data

Tech Stack

Tools & technologies

Open SourcePythonSparkSQL

About the role

Key responsibilities & impact

Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions
Use Open Source/Digital technologies to mine complex data sources
Partner with the business to provide consultancy and translate business needs
Drive analysis that provides meaningful insights on business strategies
Manage security mechanisms and data access governance with Tech teams
Build tools to monitor and report on data quality

Requirements

What you’ll need

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in Python, R, Spark, and SQL
Sound statistical and machine learning experience, including regression, classifiers, clustering, and causal inference
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
At least 5 years of experience performing data analytics, or a Master’s Degree plus at least 3 years performing data analytics
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

Benefits

Comp & perks

Performance-based incentive compensation
Health insurance
Comprehensive benefits package