Senior Data Analyst - Card
About The Position
At Capital One, data is central to its business and decision-making. The Senior 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, high-volume, varied data sources and platforms; builds managed data solutions, tools, and capabilities that enable self-service for data consumers; and learns new technologies to advance initiatives. In business intelligence, the analyst partners with the business to translate needs into tools, techniques, metrics, and dashboards; provides data visualization and consultancy; and conducts analyses that generate meaningful insights into business strategies. In data management, the analyst promotes data-quality principles, including metadata, lineage, and business definitions; collaborates with technology teams on security and data-access governance; and builds and executes tools to monitor and report on data quality. The role requires a quantitative bachelor’s degree (or a master’s degree in progress or obtained by the scheduled start date), along with relevant experience in analytics, scripting, business intelligence visualization, and querying and working with data. The role may be based in McLean, Virginia, or Richmond, Virginia, with location-specific salary ranges. It is eligible for performance-based incentive compensation.
Requirements
- Currently has, or is in the process of obtaining, a bachelor’s degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field, plus at least 2 years of experience performing data analytics; alternatively, currently has or is obtaining a master’s degree, with the required degree expected by the scheduled start date.
- At least 1 year of experience working with at least one scripting language.
- At least 1 year of experience using a business intelligence visualization tool.
- At least 1 year of experience querying, analyzing, and working with data languages and platforms.
- Scripting experience in Python, R, Spark, and SQL is sought; the description also emphasizes experience with data in different forms, including data warehouses/SQL and unstructured data, and experience utilizing and developing within AWS services.
Nice To Haves
- Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
- At least 2 years of experience coding in Python, R, Spark, or SQL.
- At least 2 years of experience working with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
- 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 such as Informatica DQ.
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 their needs into tools, techniques, metrics, and dashboards for insights and data visualization.
- Conduct analyses that provide meaningful insights into business strategies.
- Promote understanding of 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 health, financial, and other benefits supporting total well-being; eligibility varies based on full- or part-time status, exempt or non-exempt status, and management level.
- Eligible for 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
Senior
