Principal Data Analyst (Financial Services)

Capital One • Plano, TX

1d • $119,400 - $136,200

About The Position

At Capital One, data is central to business and decision-making. The Principal 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.

The role uses open-source and digital technologies to work with complex, high-volume, and varied data sources and platforms, and builds tools and capabilities that support self-service data consumption. It partners with business stakeholders to translate needs into analytical tools, techniques, metrics, dashboards, and visualizations, and conducts analyses that inform business strategies. It also advances data quality management—including metadata, lineage, and business definitions—works with technology teams on security and data access governance, and develops tools to monitor and report on data quality.

Requirements

• Currently has or is pursuing a bachelor's degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) and at least 5 years of data analytics experience, or currently has or is pursuing 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.
• Degree specialization in a Science, Technology, Engineering, or Mathematics discipline.
• Scripting experience in Python, R, Spark, or SQL.
• Strong interest and experience working with data in various forms, including data warehouses/SQL and unstructured data.
• 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 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 stakeholders to translate needs into tools, techniques, metrics, dashboards, and data visualizations.
• Drive analysis that provides meaningful insights into business strategies.
• Promote understanding 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, competitive, and inclusive health, financial, and other benefits supporting employee 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: Senior