Data Analytics Expert

Reposted 20 Days Ago
Be an Early Applicant
Hiring Remotely in Metro Manila, PHL
Remote
Entry level
Financial Services
The Role
The Data Analytics Expert provides data-driven insights to operations, performs analytics, ensures compliance, and develops visualizations for decision-makers.
Summary Generated by Built In

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

  • 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.

Skills Required

  • 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
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The Company
HQ: Central, Hong Kong
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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