Sr. 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 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
• Flexible with a mid shift or night shift

schedule

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