Principal Associate, Data Analyst - Loyalty Platform

Principal Associate, Data Analyst - Loyalty Platform

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.

 

As a Principal Data Analyst on the Loyalty Platform DA team, you will be part of a team supporting the next world class platform at Capital One. The members of our team are key contributors to the major projects in support of the Loyalty platform, such as our platform modernization to allow for personalized and real-time experiences for our customers, onboarding Statement Credit functionality to migrate customer credits away from Fractal campaigns, and building the necessary functionality to support customer accounts. Additionally, our team supports the development and ownership of controls, monitoring, and reporting to facilitate our well-managed agenda. Finally, we serve as the data stewards for the platform, partnering closely with our Tech partners to support our analytical data publishing through OneStream and with our data consumers to ensure our data remains high quality.

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

 

Our ideal candidate will have:

• 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

 

Basic Qualifications:

• 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 currently has, or is in the process of obtaining a 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

 

Preferred Qualifications:

• 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<