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An ideal candidate will possess strong analytical skills, intellectual curiosity, attention to detail, and ability to identify areas for process automation and efficiency. Problem solving and conceptual thinking abilities, in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and analytical environment where you will be handling multiple concurrent projects while working independently and in teams. You will leverage analytical and technical skills to innovate, build, and maintain well-managed processes and data solutions to tackle challenging business problems.
Specific responsibilities include, but are not limited to:
Effectively present complex analysis and concepts to a variety of audiences
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for customers in Commercial Risk
Identify, prioritize and execute value added enhancements and automation projects to improve process efficiency
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives; Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Partner with various risk partners to drive innovative automated solutions, translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Our ideal candidate will have:
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience (SQL, Python, Shell)
Strong desire and interest in Statistics, experimentation and other Data Science disciplines
Experience working with AWS environment
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data environments/PIG,HIVE, Impala)
Strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
At least 1 year of experience in at least one scripting language
At least 1 year of experience utilizing a business intelligence visualization tool
At least 1 year of experience in querying and analyzing and working with data languages and platforms
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 2 years of experience coding in Python, R, Spark, or SQL
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 1 year of experience utilizing and developing within AWS services
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. 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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