Sr. Data Analyst - Card Services Data

Sr. Data Analyst - Card Services Data

As a senior data analyst, you will join a large and dynamic data analyst team that plays a critical role across the CS&S organization. Our team supports a wide range of business domains, including Collections, Recoveries, Fraud, Servicing, Channels, and Supply Chain Management, among others, providing data-driven insights that influence key strategic decisions.

The team is structured by ~10 horizontal function pillars such as Risk Management, Operational Processes, Control Modernization, Platform Data Support, Operational Data Products, etc.. Each pillar brings deep expertise in its area while collaborating across business domains to ensure comprehensive analytical support.

You will initially be aligned with the Risk Management pillar, focusing on risk event remediation and data support for internal/external audits and exams.

Our unique internal rotation program encourages analysts to transition between functional pillars over time, giving you the opportunity to work across multiple business domains and expand your impact and expertise.

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 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.

•  At least 1 year of experience working with at least one scripting language 

•  At least 1 year of experience utilizing business intelligence visualization tool 

•  At least 1 year of experience querying, analyzing and working with data languages and platforms

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 2 years of experience coding in Python, R, Spark, or SQL

• At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

• At least 1 year of experience utilizing and developing within AWS services

• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $109,000 - $124,400 for Sr. Data Analyst

 

Richmond, VA: $99,100 - $113,100 for Sr. Data Analyst

 

 

 

 

 

 

 

 

 

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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).