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Principal Data Analyst
Capital One. Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities .
Core Competencies
Role fitCore 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 proficiency in business intelligence visualization tools. Strong background in data quality management, governance, and experience with AWS services enhances the ability to deliver actionable insights and innovative data solutions.
Highest-signal resume keywords
Data AnalyticsScripting Languages (Python, R, Spark, SQL)Business Intelligence Visualization ToolsData Quality ManagementAWS Services
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 LanguagesBusiness Intelligence VisualizationData QueryingData WarehousingSQLPythonRSparkData Governance
Soft Skills
Analytical SkillsConsultancyCollaborationCommunication
Tools & Technologies
AWS ServicesData Visualization ToolsData Quality Monitoring Tools
Industry Keywords
Data Quality Management PrinciplesMetadataData LineageFinancial ServicesAgileLeanSix Sigma
Tech Stack
Tools & technologiesAWSOpen SourcePythonSparkSQL
About the role
Key responsibilities & impact- Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities
- Mine complex, voluminous, and varied data sources and platforms using open source and digital technologies
- 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
- Translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization
- 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 5 years of experience performing data analytics, or a Master’s Degree plus at least 3 years performing data analytics
- Required degree expected to be obtained on or before the scheduled start date
- 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
- Strong desire and experience with data in various forms
- Preferred: Master’s Degree in a Science, Technology, Engineering, Mathematics 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, and 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
- Hybrid work arrangement