Senior Data Analyst - Emerging Payments & AirKey

Capital One • McLean, VA

1d • $111,200 - $138,400 • Hybrid

About The Position

At Capital One, data is central to business decision-making. The Senior Data Analyst will use analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to address business problems. The work spans innovation, business intelligence, and data management.

In innovation, the analyst will use open-source and digital technologies to mine complex, high-volume, varied data sources and platforms, build data solutions and tools that enable self-service, and quickly learn new technologies to advance initiatives. In business intelligence, the analyst will partner with business teams to translate needs into tools, techniques, metrics, dashboards, and visualizations, and conduct analyses that provide insights into business strategies. In data management, the analyst will promote data quality principles, including metadata, lineage, and business definitions; collaborate with technology teams on security and data access governance; and build tools to monitor and report on data quality.

The role is designated hybrid, with on-site attendance required according to Capital One’s hybrid policy. The position is eligible for performance-based incentive compensation. The listed full-time annual salary ranges are $111,200–$126,900 in McLean, Virginia, and $121,300–$138,400 in New York, New York; compensation for other locations depends on the applicable location pay range.

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, plus at least 2 years of data analytics experience; or currently has or is pursuing a master’s degree and will obtain the required degree 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.
• Strong desire and experience working with data in different forms, including data warehouses/SQL and unstructured data.
• Experience utilizing and developing within Snowflake services.

Nice To Haves

• A 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 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, dashboards, and data visualizations.
• Conduct analyses that provide meaningful insights into business strategies.
• Promote understanding of and adherence to data quality 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.
• 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