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Senior Data Analyst – Global Payment Network
Capital One. Use open source/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, utilizing scripting languages such as Python, R, Spark, and SQL, while effectively employing business intelligence visualization tools to deliver insights and data solutions. Strong understanding of data quality management principles and experience with Snowflake services enhance the ability to support data governance and self-service frameworks.
Highest-signal resume keywords
Data AnalyticsScripting Languages (Python, R, Spark, SQL)Business Intelligence Visualization ToolsData Quality ManagementSnowflake 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 LanguagesSQLPythonRSparkBusiness Intelligence VisualizationData WarehousingData QueryingData Analysis
Soft Skills
CollaborationConsultancyCommunication
Tools & Technologies
SnowflakeBusiness Intelligence ToolsData Visualization Tools
Industry Keywords
Data Quality ManagementData GovernanceMetadataData LineageSelf-Service Frameworks
Tech Stack
Tools & technologiesOpen SourcePythonSparkSQL
About the role
Key responsibilities & impact- Use open source/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 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 expected completion 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 Snowflake services
- 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
- Drug-free workplace