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:

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

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

• Willing to work in a night shift schedule

• Willing to work in a hybrid schedule

• Willing to work in Alabang

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