Locations: TX - Plano, United States of America, Plano, Texas Senior Data Analyst - Financial Services, Navigator Platform Have you ever imagined that you can buy a car from the comfort of your couch? Cars are one of the biggest investments you can make, and it is much more complex than other commodities you buy online. Our Navigator Platform team uses analytics, machine learning and Cloud technology to deliver a no-hassle browsing and buying experience. Our Navigator Platform team is developing leading data innovation and data capabilities to deliver a game changing End to End Digital Auto Buying Experience. It ranges from trigger-based campaign, rapid product testing, recommended search, journey based experience, Leads and vehicle intelligence, etc. 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: 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 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 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).