Sr. Analyst, Data Analysis

Capital One; Muntinlupa; On-site; PHP 446,400 - 669,600; Full time

Job summary

Capital One is looking for a Sr. Analyst, Data Analysis in Muntinlupa, Philippines. This role emphasizes leveraging analytic skills to innovate data solutions, facilitating risk management and enhancing efficiency through advanced analytics and reporting.

The ideal candidate will have a Bachelor’s Degree in a quantitative field and at least 2 years of data analytics experience. Proficiency in business intelligence visualization tools and AWS services is preferred. A hybrid work setup is available during training.

Qualifications

• At least 2 years of experience performing data analytics.
• At least 1 year of experience working with a scripting language.
• At least 1 year of experience utilizing a business intelligence visualization tool.

Responsibilities

• Use Open Source/Digital technologies to mine data from various sources.
• Provide consultancy and develop tools for insights and data visualization.
• Drive analysis to provide meaningful insights on business strategies.

Skills

Data analytics

SQL

Business intelligence visualization

Scripting language

AWS services

Data quality management

Education

Bachelor’s Degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related field

Job description

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

Sr. Analyst, Data Analysis

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.

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.

Qualifications

• Educational Background: Bachelor’s Degree in a 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.
• Willing to work in a mid shift schedule.
• Willing to work in a hybrid set up during training and work from home onwards.
• Willing to work in Alabang.

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).

No agencies please.

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.