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Capital One Philippines Support Services Corp. is seeking a Sr. Analyst, Data Analysis to leverage analytics, build data solutions, and support risk-focused decisions.
You will develop real-time reporting, advanced analytics, and automation to improve risk management and operational efficiency. Collaboration with business and tech teams will drive data governance and insights.
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