Pr. Analyst, Data Analysis

Capital One; Muntinlupa; Hybrid; PHP 1,200,000 - 1,500,000; Full time

Job summary

Capital One is seeking a Pr. Data Analyst in Alabang, Philippines, who will leverage technical skills to build and maintain data solutions that tackle business problems. This role involves innovation in data analytics, developing tools and dashboards, and partnership with the business for insights and data visualization.

Candidates should have at least a Bachelor’s Degree in a quantitative field and over 5 years of experience in performing data analytics, alongside strong scripting skills in Python, R, or SQL. The position includes a hybrid work schedule.

Qualifications

• Minimum 5 years of experience performing data analytics.
• At least 3 years of experience in querying and analyzing data.
• Experience coding in Python, R or SQL.

Responsibilities

• Build well-managed data solutions and tools for data consumers.
• Provide consultancy to translate business needs into tools and metrics.
• Manage and report on data quality.

Skills

Scripting experience in Python

Experience utilizing business intelligence visualization tools

Strong desire with data in various forms

Experience with AWS services

Education

Bachelor’s Degree in a quantitative field

Tools

SQL

R

Spark

Job description

Location

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

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. The 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.

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 a 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; willingness to work in a night‑shift schedule; willingness to work in a hybrid schedule; willingness 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.

Equal Opportunity Employment

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.