Data Analyst at Prudential plc

Manila, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, MS Excel, Power BI, ETL, Data Analysis, Data Visualization, Robotic Process Automation, Power Automate, Data Warehousing, Change Management, Business Intelligence, Data Mining, KPI Reporting, Process Optimization, Data Quality Assurance

Industry

Financial Services

Description

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 Analyst is responsible for turning 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 to optimize operations. This position also leads data innovation initiatives, reports key 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, and validate the 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. Experiment with data models and provide innovative solutions to complex data challenges. Lead data innovation initiatives by identifying emerging 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 to upskill employees in data analysis tools and techniques, fostering a culture of data-driven decision-making. Champion sustainable change management 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, programs and instruction are carried out. Be familiar and 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 Officer in accordance with the reporting requirements operated by the Compliance Officer. Must operate a process within his/her department to ensure that all relevant compliance matters are identified and reported. Job Specifications Bachelor’s degree in Computer Science, Applied Mathematics, Operations Research, Statistics, or related fields Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements. We are Prudential. For Every Life, For Every Future. Prudential plc provides life and health insurance and asset management to 18 million customers across 24 markets in Asia and Africa. We are headquartered in London and Hong Kong and are focused on four strategic regions: Greater China, ASEAN, India and Africa. We are served by around 68,000 average monthly active agents and more than 200 bank partners. Prudential plc is not affiliated in any manner with Prudential Financial, Inc., a company whose principal place of business is in the United States of America or with the Prudential Assurance Company, a subsidiary of M&G plc, a company incorporated in the United Kingdom. Find out more at www.prudentialplc.com Follow us on LinkedIn

Responsibilities

The Data Analyst is responsible for conducting full lifecycle data analysis, including data cleansing, ETL development, and the creation of dashboards to support business decisions. Additionally, the role involves leading data innovation initiatives, automating processes using RPA, and building analytics capabilities within the team.