Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.
The Data Analystis responsible forturning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. The role involves ensuring data integrity, developing ETL processes, creating dashboards, and implementing automation solutions tooptimizeoperations.This position also leads data innovation initiatives,reportskey metrics to senior management, and builds analytics capability within the team through training and change management.
Job Accountabilities
1. Data Management & Quality Assurance
Process, cleanse, andvalidatethe integrity of data to ensure accuracy and reliability for analysis.
Assess data quality and perform necessary cleaning or removal of inaccurate, incomplete, or redundant data.
Develop and maintain ETL (Extract, Transform, Load) processes to guarantee data consistency and integrity.
Implement data warehousing solutions to support business intelligence and reporting needs.
2. Data Analysis & Reporting
Analyze structured and unstructured data using SQL, Python, MS Excel, and Power BI to generate actionable insights.
Create dashboards, reports, and visualizations for management to support decision-making.
Perform business risk analysis through customer and operational data mining and analytics.
Experimentwith data models and provide innovative solutions to complex data challenges.
Lead data innovation initiatives byidentifyingemerging technologies, tools, and methodologies to enhance analytics capabilities.
Prepare and present data-driven insights, KPIs, and performance metrics to senior management for strategic decision-making.
3. Automation & Process Optimization
Build attended and unattended Robotic Process Automations (RPAs) using Power Automate to streamline business processes.
Collaborate with cross-functional teams to understand data requirements and deliver automated solutions.
4. Capability Building & Change Management
Develop and deliver training programs toupskillemployees in data analysis tools and techniques, fostering a culture of data-driven decision-making.
Championsustainablechangemanagement by embedding analytics capabilities within the department and promoting continuous improvement.
5. Leadership
Act as Officer-in-Charge in the absence of the line manager, ensuring continuity of operations and decision-making.
6. Compliance
Ensure that all company policies, procedures,programsandinstructionare carried out.
Befamiliarand understand Pru Life UK Compliance Standards. Must be fully aware of his/her responsibilities and competent to carry them out to the required standards. Must report all compliance matters openly and honestly to their Compliance Officerin accordance withthe reporting requirementsoperatedby the Compliance Officer. Mustoperatea process within his/her department to ensure that all relevant compliance matters areidentifiedand reported.
Job Specifications
Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, Statistics, or related fields
Data Analyst • Metro Manila
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