Job Posting Title Senior Data Analyst (Financial Services)

Capital One • Plano, TX

1d • $101,100 - $115,400

About The Position

At Capital One, data is central to its business and data-driven decision-making. The Senior Data Analyst uses 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 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, and drives analysis that yields insights into business strategies. In data management, the analyst promotes data-quality 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.

Requirements

• Currently hold or be in the process of obtaining a bachelor's degree in a quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science, plus at least 2 years of data analytics experience; alternatively, currently hold or be in the process of obtaining 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.
• Experience with scripting languages such as Python, R, Spark, and SQL.
• Experience working with data in various forms, including data warehouses, SQL, and unstructured data.
• Experience utilizing and developing within AWS 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 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 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, competitive, and inclusive 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: Senior