Data Analytics Expert

Prudential Services Asia; Taguig; Hybrid; PHP 1,000,000 - 1,500,000; Full time

Job summary

Prudential Services Asia seeks a Data Analytics expert to help Operations leaders derive data-driven insights and recommendations. The role applies descriptive to prescriptive analytics across product, solutions development and operations processes.

Responsibilities include performing data mining, building dashboards in Power BI, and presenting findings to key decision-makers while ensuring compliance with governance standards.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Business Analytics, Computer Science, Finance or related fields.
• Proficient with MS Excel, PowerPoint and PowerBI.
• Knowledgeable in descriptive and predictive methods such as statistics, regression and basic ML concepts.
• Familiar with Python, R and Power BI DAX.
• Good design thinking, facilitation and customer-centric approach.
• Ability to create clear visualizations and present data-driven insights.

Responsibilities

• Provides data-driven insights and perspectives from product & solutions development to operations processes.
• Performs business risk analysis through customer and business data mining and analytics.
• Performs descriptive to predictive analyses using operations data.
• Provides product and solutions development insight through human-centered design.
• Creates visualizations and dashboards with Power BI aligned to governance.
• Ensures compliance with company policies and reporting requirements.
• Performs other functions as assigned.

Skills

Data analytics

Communication

Statistical methods

Problem solving

Education

Bachelor’s degree in Mathematics, Statistics, Business Analytics, Computer Science, Finance

Tools

Excel

Power BI

Python

R

Power BI DAX

PowerPoint

Job 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 Analytics expert will help the key decision-makers in Operations to come up with data-driven insights and recommendations through their vast expertise in applying appropriate analytical methods from descriptive to prescriptive analytics.

Job Accountabilities

1. Provides data-driven insights and perspectives from product & solutions development to operations processes
2. Performs business risk analysis through customer and business data mining and analytics
3. Performs descriptive to predictive types of analysis using operations processes' data
4. Provides product and solutions development insight through human-centered design approach
5. Performs data analysis using digital competencies tools such as PowerBI while ensuring alignment with data governance model
6. Compliance Ensures that all company policies, procedures, programs and instruction are carried out Familiarizes and understands Pru Life UK Compliance Standards. Full awareness of his/her responsibilities and competent to carry them out to the required standards. Reports all compliance matters openly and honestly to their Compliance Officer in accordance with the reporting requirements operated by the Compliance Officer. Operates a process within his/her department to ensure that all relevant compliance matters are identified and reported.
7. Performs other functions as may be assigned.

Job Specification

1. Bachelor’s degree in Mathematics, Statistics, Business Analytics, Computer Science, Finance, or other related courses.
2. Proficient in using relevant Microsoft applications especially MS Excel, Powerpoint, and PowerBI
3. Knowledgeable in descriptive and predictive methods such as summary statistics, hypothesis testing, linear regression, basic machine learning concepts
4. Has knowledge in programming languages such as Python, R, PowerBI DAX
5. Basic design thinking and collaborative methods (e.g. feedback gathering, facilitation and presentation skills, customer-centric approach,)
6. Creation of effective visualizations through static reports or dashboards that will be presented to stakeholders and key decision makers
7. Coming up with data-driven reports using appropriate statistical methods to support decision-making.
8. Being a good communicator and can knowledge transfer their expertise

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, we are partners. For every future, we are protectors. Prudential plc provides life and health insurance and asset management to 17 million customers across 20 markets in Asia and Africa. We are headquartered in Hong Kong and have dual primary listings on the Stock Exchange of Hong Kong and the London Stock Exchange. We are focused on four strategic regions: Greater China, ASEAN, India and Africa. Our customers are served by around 55,000 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