Pr. Analyst, Data Analysis

capitalone; Muntinlupa; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

Capital One is seeking a Professional Data Analyst to leverage analytic and technical skills to build and maintain data solutions and capabilities for real-time risk management. The role involves dynamic reporting, advanced analytics, and automation across multiple projects in a risk-focused environment.

You will collaborate with the business to translate needs into dashboards and insights, while driving data quality governance and security practices in partnership with Tech teams.

Qualifications

• Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related).
• At least 5 years of experience performing data analytics.
• At least 3 years of experience with at least one scripting language.
• At least 3 years of experience using a BI visualization tool.
• At least 3 years of experience querying/analyzing data languages and platforms.

Responsibilities

• Innovation: mine data sources, build self-service data solutions.
• Business Intelligence: design dashboards and provide data-driven insights.
• Data Management: ensure data quality, metadata, lineage, and governance.

Skills

Python

R

Spark

SQL

Data Warehouses

AWS

Night Shift

Hybrid Schedule

Alabang

Education

Bachelor's Degree in quantitative field

Master's Degree in STEM

Job description

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

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.