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
Role Requirements:
Amenable to work in a hybrid set up in Alabang, Muntinlupa; pre dominantly work from home
Amenable to work in the mid shift schedule
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)
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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).