Sr. Analyst, Data Analysis

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

Job summary

Capital One Group in Alabang, Muntinlupa City, Philippines is seeking a Sr. Analyst, Data Analysis to build and maintain data solutions for real-time risk management and business insights.

The role requires a Bachelor’s degree in a quantitative field and 2+ years of data analytics, with scripting, SQL, AWS, and BI visualization experience. Hybrid work setup and mid-shift schedule offered.

Qualifications

• Bachelor’s degree in a quantitative field (Statistics, Economics, OR, Analytics, Math, CS or related).
• 2+ years of data analytics experience.
• 1+ year of scripting language experience.
• 1+ year of using a BI visualization tool.
• 1+ year of querying and analyzing data languages/platforms.

Responsibilities

• Develop dynamic reporting, advanced analytics, and automation for real-time risk management and efficiency.
• Partner with the business to design dashboards and data visualization with insights.
• Drive data quality, metadata, lineage, and governance aligned with data security practices.
• Leverage open source and cloud technologies to build scalable data solutions.

Skills

SQL

Scripting

AWS

BI Visualization

Data Warehousing

Education

Bachelor’s degree in quantitative field

Tools

Informatica DQ

Job description

## Sr. Analyst, Data AnalysisApply: Alabang, Muntinlupa City: Full time: Posted Today: R1001281Alabang (96050), Philippines, Muntinlupa City, National Capital RegionSr. Analyst, Data Analysis**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 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 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* **Skills Required:** + 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 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)