Principal Data Analyst (Financial Services)

Capital One • Plano, TX

2d • $119,400 - $136,200

About The Position

At Capital One, data is central to business operations and 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 well-managed data solutions, tools, and capabilities that enable self-service for data consumers; and explores new technologies to advance initiatives. In business intelligence, the analyst partners with business teams to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization, and drives analyses that inform business strategies. In data management, the analyst promotes data quality management principles, including metadata, lineage, and business definitions; collaborates with Technology teams on security mechanisms and data-access governance; and builds and executes tools to monitor and report data quality.

The position is based in Plano, Texas for the stated salary range. The role may be eligible for performance-based incentive compensation, including cash bonuses and/or long-term incentives. Capital One offers a comprehensive benefits program; eligibility varies by employment status and management level.

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, or Computer Science, or a related quantitative field) and at least 5 years of data analytics experience; or currently has or is in the process of obtaining a master’s degree and 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.
• The ideal candidate has a degree specialized in a Science, Technology, Engineering, or Mathematics discipline; scripting experience in Python, R, Spark, and SQL; experience with data in various forms, including data warehouses/SQL and unstructured data; and experience using 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 working with process management and improvement methodologies such as Agile, Lean, or Six Sigma.
• At least 2 years of experience using 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 teams to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• 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.
• Collaborate 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; 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: Principal