Principal Data Analyst - Global Payment Network, Global Sales Enablement/GSE (Discover)

Capital One•McLean, VA

1d•$119,400 - $149,800•Hybrid

About The Position

Principal Data Analyst - Global Payment Network, Global Sales Enablement/GSE (Discover) At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. This role will be hired as a Capital One associate but will play a critical part in project execution and delivery for Discover Financial Services as part of our integration effort. The Global Sales Enablement (GSE) team sits within our Global Payment Network organization and drives execution by managing the tools, reporting frameworks, and performance processes that support Sales. GSE captures and standardizes portfolio and pipeline data, delivers visibility into performance, and reduces operational friction through automation and governance. Our work ensures sales leaders have the insights needed to make data-driven decisions that accelerate growth and improve execution discipline. As a Principal Data Analyst on Team GSE, you will: collaborate with sales leadership and cross-functional partners to deliver standardized, automated, and ad-hoc reporting across portfolio performance, strategic initiatives, and execution tracking. You will design scalable data frameworks, translate complex data into actionable insights, and simplify how information is accessed and consumed across the sales ecosystem. We are looking for someone who is passionate about modernizing data infrastructure and improving how decisions are powered by analytics. On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Drive analysis that provides meaningful insights on business strategies Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance Build and execute tools to monitor and report on data quality

Requirements

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within AWS services
Currently has, or is in the process of obtaining a: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 5 years of experience performing data analytics, or, Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
At least 3 years of experience working with at least one scripting language
At least 3 years of experience utilizing a business intelligence visualization tool
At least 3 years of experience in querying, analyzing and working with data languages and platforms

Nice To Haves

Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 2 years of experience utilizing and developing within AWS services
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
At least 1 year of experience with Salesforce or Marketing Technology (MarTech) platforms

Responsibilities

collaborate with sales leadership and cross-functional partners to deliver standardized, automated, and ad-hoc reporting across portfolio performance, strategic initiatives, and execution tracking
design scalable data frameworks
translate complex data into actionable insights
simplify how information is accessed and consumed across the sales ecosystem
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality