FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Principal Data Analyst – Card
Capital One. Use open-source and digital technologies to mine complex, voluminous, and varied data sources and platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, including proficiency in scripting languages such as Python, R, Spark, and SQL, along with experience in business intelligence visualization tools. Strong understanding of data quality management principles and the ability to develop solutions within AWS services.
Highest-signal resume keywords
Data Analytics ExperienceScripting in Python, R, Spark, SQLBusiness Intelligence Visualization ToolsAWS Services DevelopmentData Quality Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsScripting LanguagesSQLPythonRSparkData WarehousingData GovernanceData Quality ManagementBusiness Intelligence
Soft Skills
CollaborationConsultancyProblem-SolvingCommunication
Tools & Technologies
AWS ServicesBusiness Intelligence ToolsData Visualization Tools
Industry Keywords
Financial ServicesData Quality Management PrinciplesAgileLeanSix Sigma
Tech Stack
Tools & technologiesAWSPythonSparkSQL
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 on 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 plus at least 5 years of experience in data analytics, or Master’s Degree plus at least 3 years in data analytics, or PhD
- At least 3 years of experience in at least one scripting language
- At least 1 year 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 in various forms, including 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 process management and improvement methodologies such as Agile, Lean, or Six Sigma
- 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 within the financial services industry
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
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
- Reasonable accommodations for applicants who require them