Senior Data Analyst- Card

Capital One • McLean, VA

2d • Hybrid

About The Position

At Capital One, data is central to the company’s work and decision-making. The Senior Data Analyst will use analytical 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, and varied data sources and platforms; builds well-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 business teams to translate needs into tools, techniques, metrics, and dashboards, and conducts analysis that provides insights into business strategies. In data management, the analyst promotes data quality practices covering metadata, lineage, and business definitions; works with technology teams on security and data-access governance; and builds and executes tools to monitor and report on data quality.

This is a hybrid role, with on-site presence required according to Capital One’s hybrid policy. The role is based in McLean, Virginia, with location-specific compensation ranges. It 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 field, plus at least 2 years of data analytics experience; alternatively, currently has or is pursuing a master’s degree, with the required degree 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.
• Degree specialized in a Science, Technology, Engineering, or Mathematics discipline is identified as an ideal-candidate qualification.
• Scripting experience with Python, R, Spark, and SQL is identified as an ideal-candidate qualification.
• Strong desire and experience working with data in various forms, including data warehouses/SQL and unstructured data, is identified as an ideal-candidate qualification.
• Experience using and developing within Snowflake services is identified as an ideal-candidate qualification.

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 using and developing within AWS services.
• At least 1 year of experience with data governance, data quality management concepts, and data quality tools such as Informatica DQ.

Responsibilities

• Use open-source and digital technologies to mine complex, high-volume, and varied data sources and platforms.
• Build well-managed data solutions, tools, and capabilities that enable self-service for data consumers.
• Explore and learn new technologies to advance varied initiatives.
• Partner with business teams to understand their needs and develop tools, techniques, metrics, and dashboards for insights and data visualization.
• Conduct analysis that provides 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 employee well-being; eligibility varies by employment status and management level.
• Eligible for 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