Data Analytics Expert

Pru Life UK; Metro Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Pru Life UK in Metro Manila is seeking a Data Analytics expert to support operations with data-driven insights, using descriptive to prescriptive analytics.

You will develop dashboards with PowerBI, perform data mining for business risk, and contribute to governance and compliance. The role requires a mathematics/statistics/business analytics background and strong communication to transfer knowledge.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Business Analytics, Computer Science, Finance, or related fields.
• Proficient in MS Excel, PowerPoint and PowerBI.
• Knowledgeable in descriptive and predictive methods such as statistics, hypothesis testing, regression and ML concepts.
• Knowledge in programming languages such as Python, R, PowerBI DAX.
• Basic design thinking and collaborative methods for feedback gathering and presentation.
• Creation of effective visualizations through reports or dashboards for stakeholders.
• Delivery of data-driven reports to support decision-making with clear communication.

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.
• Performs data analysis using tools such as PowerBI within data governance standards.
• Ensures compliance with company policies and procedures.
• Performs other functions as assigned.

Skills

Data analytics

Communication

Visualization

Descriptive statistics

Predictive analytics

Python

R

PowerBI

Education

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Business Analytics

Computer Science

Finance

Tools

Excel

PowerPoint

PowerBI

Python

R

PowerBI DAX

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

• one. Provides data-driven insights and perspectives from product & solutions development to operations processes
• two. 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

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