Principal Data Analyst

Principal Data AnalystAt Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.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.About the TeamThe Bank Tech Analytics team is a group dedicated to advancing data-driven decision-making and operational excellence across the enterprise, delivering comprehensive services for Bank Tech while actively contributing back to the broader organization. The team provides core capabilities spanning metrics and insights frameworks, applied analytics, operational efficiency automation, and AI integration. Through continuous stakeholder partnerships and automated data pipelines via Snowflake/Onelake and Databricks, Bank Tech Analytics transforms complex information into actionable insights and custom reporting solutions. This work enhances the developer experience, equips leaders to drive strategy, and delivers high-impact value by fostering enterprise-wide collaboration and pioneering innovative analytics transformations.On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:InnovationUse Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platformsBuild well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumersDemonstrate ability to explore and quickly grasp new technologies to progress varied initiativesBusiness IntelligencePartner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualizationDrive analysis that provides meaningful insights on business strategiesData ManagementDrive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitionsWork collaboratively with appropriate Tech teams to manage security mechanisms and data access governanceBuild and execute tools to monitor and report on data qualityOur ideal candidate will have:Degree specialized in a Science, Technology, Engineering, Mathematics disciplineScripting 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 servicesBasic Qualifications: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 languageAt least 3 years of experience utilizing a business intelligence visualization toolAt least 3 years of experience in querying, analyzing and working with data languages and platformsPreferred Qualifications:Master's Degree in a Science, Technology, Engineering, Mathematics disciplineAt least 4 years of experience coding in Python, R, Spark, or SQLAt least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.At least 2 years of experience utilizing and developing within AWS servicesAt least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industryCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.McLean, VA: $131,300 - $149,800 for Principal Data AnalystNew York, NY: $143,200 - $163,500 for Principal Data AnalystRichmond, VA: $119,400 - $136,200 for Principal Data AnalystCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.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.This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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.