Capital One
Financial Services
SeniorAssociateDataAnalyst-Card
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Associate Data Analyst- Card at Capital One. Skills: Data analysis, Business intelligence, Data management. Mine complex data sources. Build data solutions”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field, 2 years of data analytics experience, 1 year scripting language experience, 1 year business intelligence visualization tool experience, 1 year querying, analyzing, and working with data languages and platforms
Nice to Have
Master's Degree in Science, Technology, Engineering, Mathematics discipline, 2 years coding in Python, R, Spark, or SQL, 2 years process management and improvement methodologies experience, 1 year utilizing and developing within AWS services, 1 year working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools
What You'll Do.
Mine complex data sources
Enable self-service frameworks
Explore new technologies
Partner with business
Translate business needs
Provide meaningful insights
Drive understanding of data quality principles
Manage security mechanisms
Manage data access governance
Build tools to monitor data quality
Execute tools to report on data quality
How You'll Work.
Team & Collaboration
Collaborate with business; Work with Tech teams
Full Job Description
Senior Associate Data Analyst- Card 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. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by 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 on data quality Our ideal candidate will have: * Degree specialized in a Science, Technology, Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in various forms (data warehouses/SQL, unstr
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