Senior Data Analyst - Emerging Payments & AirKey

Capital One • McLean, NY

21h • Hybrid

About The Position

As a Data Analyst at Capital One, you will use analytic and technical skills to build, maintain, and improve well-managed data solutions and capabilities that address business problems. The work spans innovation, business intelligence, and data management. You will use open-source and digital technologies to explore complex, varied data, build tools and self-service capabilities, and quickly learn new technologies. You will partner with business teams to translate needs into tools, metrics, dashboards, and analyses that generate useful insights. You will also support data quality, metadata, lineage, business definitions, security mechanisms, data access governance, and monitoring and reporting tools.

This is a hybrid role, subject to Capital One’s hybrid policy and required on-site presence at the designated office location. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. The position is expected to accept applications for a minimum of five business days.

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 field, and at least 2 years of experience performing data analytics; or currently has or is pursuing a master's degree, with the required degree expected 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.

Nice To Haves

• A 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 using and developing within AWS services.
• At least 1 year of experience with data governance and data quality management concepts and tools, such as Informatica DQ.
• Experience working with data in varied forms, including data warehouses, SQL, and unstructured data.
• Experience using and developing within Snowflake services.

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 grasp new technologies to advance varied initiatives.
• Partner with the business to translate business needs into tools, techniques, metrics, dashboards, and data visualizations.
• 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.
• 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