Sr. Analyst, Data Analysis

Capital One Philippines Support Services Corp.; Muntinlupa; On-site; PHP 400,000 - 700,000; Full time

Job summary

Capital One Philippines Support Services Corp. is seeking a Data Analyst to leverage analytic and technical skills to develop data solutions, dynamic reporting and automation for real-time risk management.

The role focuses on building self-service capabilities and strengthening risk-driven analytics in a fast-paced environment. You will collaborate with business and Tech teams to translate needs into dashboards and insights while ensuring data quality and governance across data sources,

Qualifications

• Bachelor's degree in a quantitative field.
• At least 2 years of data analytics experience.
• At least 1 year of scripting experience.
• At least 1 year of experience with a BI visualization tool.
• At least 1 year of experience querying data languages and platforms.
• Experience with data warehouses/SQL and unstructured data.
• Experience utilizing AWS services.

Responsibilities

• Innovate and build data solutions and self-service capabilities.
• Partner with business to design dashboards and visualizations for insights.
• Ensure data quality and governance across data sources.

Skills

Data analytics

Scripting language

BI tools

SQL / data languages

AWS

Data warehousing

Data governance

Education

Bachelor's Degree in quantitative field

Master’s Degree in STEM

Tools

Python

Power BI

Informatica DQ

Job description

Summary

As a 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. The role offers a unique opportunity to apply data-driven solutions in a fast-paced, risk-focused environment. You will develop dynamic reporting, advanced analytics, and automation to provide real-time risk management and drive efficiency. Leveraging cutting-edge technologies and innovative data practices, this role will play a key role in strengthening 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 manage security mechanisms and data access governance

  • Build and execute tools to monitor and report on data quality

Basic Qualifications

• Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)

• At least 2 years of experience performing data analytics

• At least 1 year of experience working with at least one scripting language

• At least 1 year of experience utilizing a business intelligence visualization tool

• At least 1 year of experience in querying and analyzing and working with data languages and platforms

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

• Experience utilizing and developing within AWS services

Preferred Qualifications

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.

• At least 1 year of experience utilizing and developing within AWS services

• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)

• Flexible with a mid shift or night shift schedule

• Willing to work in a hybrid set up at Alabang Muntinlupa