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As a Financial Analyst, you will work for a company that invests in ways to tell stories, view trends, and diagnose results in a more compelling and visual nature. You will have the opportunity to partner with business customers on driving strategic business direction that leads to sustainable performance and you will be asked to challenge our current well-managed processes to be more proactive, effective and efficient.
Financial Analysts perform data analysis in an Agile environment with Tech, Product, Business and Data Professionals to frequently build reports; provide data capability for Regulatory requirements; perform reporting, analysis and data validations to support presentation, predictive modeling and ad-hoc requests.
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
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
Basic Qualifications:
Bachelor’s degree or military experience
At least 3 years of experience in data analytics
At least 1 year of experience in Python, R, Spark, SQL, or a combination
At least 1 year of experience utilizing a business intelligence visualization tool such as Tableau
At least 1 year of experience in querying, analyzing, and working with data such as SQL, data warehouses, or unstructured data
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, or Mathematics discipline
2+ years of experience coding in Python, R, Spark, SQL, or a combination
2+ years of experience working within process management and improvement methodologies such as Agile, Lean, Six Sigma, etc.
1+ year of experience utilizing and developing within AWS services
1+ year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools such as Informatica DQ
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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