Business Data Analyst II supporting SAS/SQL - based CCAR Y14 reporting solutions at Truist. Ensuring accuracy and regulatory alignment of CCAR Y14 data through reporting enhancements and analysis.
About the role
- Data Analyst leveraging technical skills to develop data solutions at Capital One. Innovation and data management focus with business intelligence and data quality responsibilities.
Responsibilities
- 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
- 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
Requirements
- 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
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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