Pr. Analyst, Data Analysis

Capital One Group; Metro Manila; Hybrid; PHP 900,000 - 1,300,000; Full time

Job summary

Capital One Group in Alabang, Philippines is seeking a Pr. Data Analyst to design, implement, and manage data solutions that tackle business problems in a risk-focused environment.

The role emphasizes real-time reporting, advanced analytics, and automation to drive efficiency and informed decision making across teams. You will lead multiple projects, collaborate with IT and business stakeholders, and apply Python, SQL, Spark, and AWS within data warehouses and BI tools to deliver insights and

Qualifications

• Bachelor's degree in a quantitative field (stats, econ, OR, analytics, CS)
• 5+ years of data analytics experience
• 3+ years of scripting experience (Python, R, Spark, or SQL)
• 3+ years of experience with BI visualization tools and data languages/platforms

Responsibilities

• Develop dynamic reporting, advanced analytics, and dashboards for insights and decision support
• Drive data quality, metadata, lineage, and governance across teams
• Partner with business to translate needs into analytics tools and metrics
• Lead multiple projects and drive strategic analytics initiatives
• Apply Open Source/Digital tech and AWS services to build self-service data capabilities

Skills

Python

R

Spark

SQL

Data Warehouses

AWS

Education

Bachelor's degree in a quantitative field

Job description

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

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

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 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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.

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 1-800-304-9102 or via email at [e-mail]. 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 [e-mail]