Principal Data Analyst - Enterprise Services

Principal Data Analyst – Enterprise Services At 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. 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 Ideal Candidate 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 in a 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 language At least 3 years of experience utilizing a business intelligence visualization tool At least 3 years of experience in querying, analyzing and working with data languages and platforms Preferred Qualifications Master’s Degree in a Science, Technology, Engineering, Mathematics discipline At least 4 years of experience coding in Python, R, Spark, or SQL At 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 services At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry Benefits & Compensation Salary ranges: McLean, VA: $131,300 – $149,800; Richmond, VA: $119,400 – $136,200. Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Equal Opportunity Employment 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 will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries. For accommodations, contact View email address on click.appcast.io. For technical support or questions, contact View email address on click.appcast.io. #J-18808-Ljbffr