Sr. Data Analyst - Retail Bank

Capital One • McLean, VA

4d • $111,200 - $126,900

About The Position

At Capital One, data is central to its data-driven decision-making. Within the Consumer Bank, the company combines a human-centered approach with analytics to design, build, and test financial experiences. The Retail Bank includes digital and online banking, branch and cafe experiences, bank operations, contact centers, enterprise payments, marketing and product strategy, and small business banking.

As a Data Analyst, you 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. You will use open-source and digital technologies to explore complex data sources, build tools and self-service capabilities, partner with the business to develop dashboards and insights, and support data quality, governance, security, and access management.

Requirements

• Currently has, or is pursuing, 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 data analytics experience; alternatively, currently has or is pursuing a master’s degree, with the required degree expected on or before 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.
• Degree specialization in a Science, Technology, Engineering, or Mathematics discipline is identified as part of the ideal candidate profile.
• Scripting experience with Python, R, Spark, and SQL is identified as part of the ideal candidate profile.
• Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data, is identified as part of the ideal candidate profile.
• Experience utilizing and developing within Snowflake services is identified as part of the ideal candidate profile.

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 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 the business to translate needs into tools, techniques, metrics, dashboards, insights, and data visualizations.
• Drive analysis that provides meaningful insights on business strategies.
• Promote understanding of and adherence to data quality management principles, including metadata, lineage, and business definitions.
• Work with appropriate 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.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level