Capital One
Global Payment Network
PrincipalDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Data Analyst at Capital One. Skills: Data Analytics, Statistical Modeling, Business Intelligence, Data Management, Scripting Languages (Python, R, Spark, SQL), AWS Services. Mine complex, voluminous, and different varieties of data sources and platforms using Open Source/Digital technologies. Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers”
What You'll Achieve.
Provide analytical solutions to payment businesses covering the whole lifecycle of participant management; Provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization; Drive analysis that provides meaningful insights on business strategies; Monitor and report on data quality
Industry & Context.
Analytical solutions
What They're Looking For.
Must Have
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience 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
Nice to Have
Master's Degree in a Science, Technology, Engineering, Mathematics discipline, At least 4 years of experience coding in Python, R, Spark, or SQL, At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc., At least 2 years of experience utilizing and developing within AWS services, At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
What You'll Do.
and different varieties of data sources and platforms using Open Source/Digital technologies
Build well-managed data solutions
and capabilities to enable 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 to design and develop tools
and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata
and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
How You'll Work.
Team & Collaboration
Partner with the business; Work collaboratively with appropriate Tech teams
Communication Scope
Translate business needs
Full Job Description
Principal Data Analyst - Global Payment Network At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. GNA stands for Global Network Analytics within Discover's Global Payment Network (GPN) business. The GNA department provides analytical solutions to payment businesses covering the whole lifecycle of participant management. This department has a variety of teams that handle a plethora of topics including but not limited to: marketing, pricing, fraud, optimization, automation, restitution, and even GenAI and text modeling. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: _**Innovation**_ * Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms * Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers * Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives _**Business Intelligence**_ * Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization * Drive analysis that provides meaningful insights on business strategies _**Data Management**_ * Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions * Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance * Build and execute tools to monitor and report o
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