Principal Data Analyst - Analytics & Transformation
About The Position
At Capital One, data is central to the business and its data-driven decision-making. The Principal Data Analyst will use analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management. In innovation, the analyst uses open-source and digital technologies to mine complex, voluminous, and varied data sources and platforms; builds tools and capabilities that enable self-service data frameworks; and learns new technologies to advance initiatives. In business intelligence, the analyst partners with business teams to translate needs into tools, techniques, metrics, and dashboards, and drives analysis that informs business strategies. In data management, the analyst advances data quality management—including metadata, lineage, and business definitions—works with technology teams on security and data access governance, and builds tools to monitor and report data quality. The position is designated hybrid, with on-site presence required in accordance with Capital One’s hybrid policy. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Requirements
- Currently hold, or be in the process of obtaining, a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 5 years of data analytics experience; or hold a master’s degree plus at least 3 years of data analytics experience. The required degree must 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 using a business intelligence visualization tool.
- At least 3 years of experience querying, analyzing, and working with data languages and platforms.
- Experience with scripting languages such as Python, R, Spark, and SQL.
- Experience working with data in various forms, including data warehouses/SQL and unstructured data.
- Experience utilizing and developing within AWS services.
Nice To Haves
- Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
- At least 4 years of experience coding in Python, R, Spark, or SQL.
- At least 4 years of experience with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
- 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.
Responsibilities
- Use open-source and digital technologies to mine complex, voluminous, and varied data sources and platforms.
- Build well-managed data solutions, tools, and capabilities that enable self-service frameworks for data consumers.
- Explore and quickly learn new technologies to advance varied initiatives.
- Partner with business stakeholders to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
- Drive analyses that provide meaningful insights on business strategies.
- Promote understanding and adherence to data quality management principles, including metadata, lineage, and business definitions.
- Collaborate with technology teams to manage security mechanisms and data access governance.
- Build and execute tools to monitor and report on data quality.
Benefits
- Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
