Senior Data Analyst - Global Payment Network

Join Capital One's Global Payment Network analytics team in Riverwoods, IL, on a hybrid schedule, and tap into a benefits-forward environment that values innovation, business intelligence, and data governance. This role centers on building data solutions, dashboards, and governance workflows in AWS, with a culture that emphasizes collaboration, self-service analytics, and data quality. You will benefit from health and financial benefits, plus performance-based incentives that recognize contributions to business outcomes.

Responsibilities

• Leverage open source and digital technologies to mine complex, large-scale data from diverse sources and platforms
• Design and deliver well-managed data solutions, tools, and capabilities that enable self-service analytics for data consumers
• Rapidly explore and adopt new technologies to drive multiple initiatives forward
• Partner with the business to translate needs into tools, techniques, metrics, and dashboards for insights and visualization
• Lead analyses that inform and shape business strategies
• Promote and ensure adherence to data quality management principles, including metadata, lineage, and business definitions
• Collaborate with technology teams to manage security mechanisms and data access governance
• Develop and deploy tools to monitor and report on data quality

Requirements

• Currently pursuing or possessing a Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) with at least 2 years of data analytics experience; or pursuing a Master’s degree with expected completion by the 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

Technologies

• Python
• R
• Spark
• SQL
• AWS
• Informatica DQ

Benefits

• Health benefits
• Financial benefits
• Incentives (performance-based incentive compensation, including cash bonuses and/or long term incentives)

Our ideal candidate will have

• A degree in a Science, Technology, Engineering, or Mathematics discipline
• Scripting experience in Python, R, Spark, and SQL
• A strong interest in data in diverse forms, including data warehouses/SQL and unstructured data
• Experience using and building within AWS services

Basic qualifications

• Currently pursuing or possessing a Bachelor’s degree in a quantitative field with at least 2 years of data analytics experience; or pursuing a Master’s degree with anticipated completion by the start date
• At least 1 year of experience with at least one scripting language
• At least 1 year of experience using a BI visualization tool
• At least 1 year of experience querying, analyzing, and working with data languages and platforms

Preferred qualifications

• Master’s degree in a STEM 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 AWS services
• At least 1 year of experience with data governance and data quality concepts and tools (for example Informatica DQ)