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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.
Job Responsibility:
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems
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
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
Requirements:
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 currently has, or is in the process of obtaining 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
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 we offer:
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)