Pr. Analyst, Data Analysis

Alabang (96050), Philippines, Muntinlupa City, National Capital Region (Manila)

Pr. Analyst, Data Analysis

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

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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.

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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).