Senior Data Analyst - Commercial Risk Job at Capital One in Richmond

Locations: VA - Richmond, United States of America, Richmond, Virginia Senior Data Analyst - Commercial Risk This position on Capital One’s Commercial Risk – Journey Analytics team offers the candidate a unique opportunity to drive dynamic reporting, analytics and automated solutions enabling risk insights for the Commercial Bank. 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) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. 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 RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).