Sr. Analyst, Data Analysis

Overview

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 :

• 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

Basic Qualifications:

• Educational Background: Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

• Professional Experience: 

  • At least 2 years of experience performing data analytics

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

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

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

• Skills Required:

  • Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

  • Experience utilizing and developing within AWS services

Preferred Qualifications:

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

• 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)

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 Show phone number or via email at View email address on capitalonecareers.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 View email address on capitalonecareers.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).