Data Analyst

Skills

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 unstructured data) Experience utilizing and developing within AWS services

Description

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:

Responsibilities

• Currently has, or is in the process of obtaining a Bachelors Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Masters Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date.
• At least 3 years of experience in at least one scripting language
• At least 1 year of experience utilizing a business intelligence visualization tool
• At least 3 years of experience in querying and analyzing and working with data languages and platforms

Educational Requirements

• Masters 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
• 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