Job Posting Title Senior Data Analyst (Financial Services)

Capital One • Plano, TX

4d

About The Position

Capital One is seeking a Senior Data Analyst to use analytic and technical skills to build and maintain well-managed data solutions and capabilities that address business problems. The role spans innovation, business intelligence, and data management. The analyst will explore diverse and complex data using open-source and digital technologies, create tools that enable self-service data use, partner with business teams to develop analytics and visualizations, and help ensure data quality, governance, security, and access controls.

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 by the scheduled start date.
• At least 1 year of experience 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, and SQL is identified as part of the ideal candidate profile.
• Strong interest in and experience with varied forms of data, including data warehouses, SQL, and unstructured data.

Nice To Haves

• Master’s degree in a Science, Technology, Engineering, or Mathematics discipline.
• At least 2 years of coding experience 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 quickly learn new technologies to advance initiatives.
• Partner with the business to understand needs and design 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 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