Senior Data Analyst- Financial Services

Capital One • Plano, TX

10d • $101,100 - $115,400

About The Position

At Capital One, data is central to its data-driven 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 role encompasses innovation, business intelligence, and data management.

In innovation, the analyst uses open-source and digital technologies to explore complex, high-volume, and varied data sources and platforms; builds managed data solutions, tools, and capabilities that support self-service data consumption; and learns new technologies to advance initiatives. For business intelligence, the analyst partners with business stakeholders to translate needs into tools, techniques, metrics, and dashboards, and conducts analyses that provide insights into business strategies. For data management, the analyst promotes data-quality principles, including metadata, lineage, and business definitions; collaborates with technology teams on security and data-access governance; and builds and executes data-quality monitoring and reporting tools.

The position requires a quantitative degree or qualifying progress toward one, experience with data analytics, scripting, business-intelligence visualization, and data languages and platforms. Preferred experience includes STEM graduate education, Python, R, Spark, or SQL, process-improvement methodologies, AWS, and data governance and quality practices. The role is listed with an annual salary range of $101,100–$115,400 for work in Plano, Texas, and is eligible for performance-based incentive compensation.

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 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.
• Scripting experience in Python, R, Spark, and SQL is described among the ideal candidate qualifications.
• Strong interest and 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 with data governance, data-quality management concepts, and data-quality tools such as Informatica DQ.

Responsibilities

• Use open-source and digital technologies to explore complex, high-volume, and varied data sources and platforms.
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
• Explore and quickly learn new technologies to progress varied initiatives.
• Partner with the business to translate business needs into tools, techniques, metrics, and dashboards for insights and data visualization.
• Conduct analysis that provides meaningful insights on business strategies.
• Promote 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 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: Senior