Principal Data Analyst (Navigator Platform)

Principal Data Analyst (Navigator 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 Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

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

About the Team:

Navigator Platform

 

Have you imagined that you can buy a car from the comfort of your couch, like you do other shopping at Amazon. Car is one of the biggest investments you are making, and is much more complex than other commodities you buy online. Our Navigator Platform team uses analytics , machine learning and Cloud technology to deliver a no-hassle browsing and buying experience.

We use AI and context that customer has shared across Capital One properties to deliver value in marketing to customers when they need a car, helping customers browse broad base inventory to find the right car, exploring both car and pricing / eligibility options, providing customers a personalized shopping experience, and allowing customers to connect when & how they want. 

Our Navigator Platform team is developing leading data innovation and data capabilities to deliver a game changing End to End Digital Auto Buying Experience.  It ranges from trigger-based campaign, rapid product testing, recommended search, journey based experience, Leads and vehicle intelligence, etc.

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