
Specializing in credit cards, auto loans, banking, and savings accounts, headquartered in Tysons, Virginia, with operations primarily in the United...
Sr. Analyst, Data Analysis
Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila)
Sr. Analyst, Data Analysis
Summary:
- As a Data Analyst, this role will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. The role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. You will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. Leveraging cutting-edge technologies and innovative data practices, this role will play a key role in strengthening risk management strategies.
General Responsibilities:
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Innovation
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Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
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Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
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Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
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Business Intelligence
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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
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Drive analysis that provides meaningful insights on business strategies
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Data Management
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Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
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Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
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Build and execute tools to monitor and report on data quality
Basic Qualifications:
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Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
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Professional Experience:
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At least 2 years of experience performing data analytics
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At least 1 year of experience working with at least one scripting language
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At least 1 year of experience utilizing a business intelligence visualization tool
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At least 1 year of experience in querying and analyzing and working with data languages and platforms
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Skills Required:
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Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
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Experience utilizing and developing within AWS services
Preferred Qualifications:
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Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
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At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
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At least 1 year of experience utilizing and developing within AWS services
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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)
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 [Recruiting Accommodation@capitalone.com](mailto:Recruiting Accommodation@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
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).
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About Capital One

Capital One
PublicA financial services company that provides banking, credit card, auto loan, savings, and commercial banking services.
10,001+
Employees
Mclean
Headquarters
$30B
Valuation
Reviews
10 reviews
3.9
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
3.8
Career
3.5
Management
3.7
72%
Recommend to a friend
Pros
Flexible work arrangements and hours
Great team dynamics and collaboration
Competitive salary and excellent benefits
Cons
High workload and pressure during peak times
Fast-paced and overwhelming environment
Limited career advancement opportunities
Salary Ranges
94 data points
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0 reports
$81,250
total per year
Base
$32,500
Stock
$40,625
Bonus
$8,125
$56,875
$105,625
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview process
1
Application Review
2
Online Assessment (CodeSignal)
3
Recruiter Phone Screen
4
Technical Interview
5
Behavioral Interview
6
Power Day/Super Day
7
Final Round/Offer
Common questions
Coding/Algorithm
Data Analysis
Behavioral/STAR
Technical Knowledge
System Design
Latest updates
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