Principal Data Analyst, Consumer Bank, Horizontal Services

Posted 4 Days Ago
Richmond, VA
Hybrid
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
The role involves leveraging analytic skills to build data solutions and tackle business challenges in the Consumer Bank. Responsibilities include using open-source technologies for data mining, developing BI tools, ensuring data quality, and collaborating with tech teams for data governance.
Summary Generated by Built In

Locations: VA - Richmond, United States of America, Richmond, Virginia
Principal Data Analyst, Consumer Bank, Horizontal Services
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.
In the Consumer Bank, we've combined this human-centered approach with our heritage of data-driven decision making to design, build and test our way to truly enabling financial experiences. We've challenged ourselves to spend less time planning, more time doing, and, above all else, to see the world through the eyes of our customers as they work to understand and manage their money. Bank Operations functional areas supported by this role include Abandoned Property, Tax Information and Reporting, and Estates Planning & Operations; and will require dynamic support for multiple stakeholders, creative approaches to solve challenging problems, and the opportunity to explore and use data across Bank, Enterprise, and other LOB partners.
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 plus at least 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 3 years in data analytics, or currently has, or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 3 years of experience in at least one scripting language
  • At least 1 year of experience utilizing a business intelligence visualization tool
  • At least 3 years of experience in querying and 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


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Top Skills

Python
R
Spark
SQL

What the Team is Saying

Ryan Page
Kristen Cornelsen
Natalia Bachmann
The Company
HQ: McLean, VA
55,000 Employees
Hybrid Workplace
Year Founded: 1994

What We Do

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers, small businesses, and commercial clients. And each new idea makes life better for millions of people.

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Employees engage in a combination of remote and on-site work.

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