Pr. Analyst, Data Analysis
1 week ago
Summary:
As a Pr. 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. This role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. The role will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. This role will have the opportunity to lead multiple projects, drive strategic initiatives, and leverage cutting-edge technologies and innovative data practices to strengthen 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 5 years of experience performing data analytics
At least 3 years of experience working with at least one scripting language
At least 3 years of experience utilizing a business intelligence visualization tool
At least 3 years of experience in querying, analyzing and working with data languages and platforms
Skills Required:
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
Willing to work in a night shift schedule
Willing to work in a hybrid schedule
Willing to work in Alabang
Preferred Qualifications:
Master's Degree in a Science, Technology, Engineering, Mathematics discipline
At least 4 years of experience coding in Python, R, Spark, or SQL
At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 2 years of experience leading multiple projects
At least 2 years of experience utilizing and developing within AWS services
At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry
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 or via email at 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
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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