Senior Data Analyst - Risk Product Data

Capital One • McLean, VA

2d • $111,200 - $126,900 • Hybrid

About The Position

At Capital One, data is central to the company’s work and decision-making. As a Data Analyst, the employee will use analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to 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, and varied data sources and platforms; builds well-managed data solutions, tools, and capabilities that support self-service for data consumers; and learns new technologies to advance varied initiatives.

In business intelligence, the analyst partners with business stakeholders to translate needs into tools, techniques, metrics, and dashboards for insights and visualization, and conducts analysis that informs business strategies.

In data management, the analyst promotes adherence to data-quality principles, including metadata, lineage, and business definitions; works with technology teams on security mechanisms and data-access governance; and builds and executes tools to monitor and report data quality. The position is designated hybrid, with on-site presence required according to Capital One’s hybrid policy at the designated office location. Salary depends on location: McLean, Virginia, $111,200–$126,900; Richmond, Virginia, $101,100–$115,400; or Chicago, Illinois, $101,100–$115,400. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

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 to be obtained 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.
• Scripting experience in Python, R, Spark, or SQL.
• Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data.
• Experience utilizing and developing within Snowflake 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 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 progress varied initiatives.
• Partner with business stakeholders to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Conduct analysis that provides meaningful insights on 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 by employment status and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

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