Principal Associate, Data Analyst - Enterprise Risk
$131.3k - $149.8kCapital One Bank
Principal Associate, Data Analyst - Enterprise Risk 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 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
- 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
- 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
- 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, unstructured data)
- Experience utilizing and developing within AWS services
- Currently has, or is in the process of obtaining a 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, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will 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 in querying, analyzing and working with data languages and platforms
- 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
$200.7k - $229.1k
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