Senior Data Analyst - Ho Chi Minh City, Việt Nam - Prudential plc

Prudential plc
Prudential plc
Công ty đã được xác minh
Ho Chi Minh City, Việt Nam

1 tuần trước

Đức Nguyễn

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Đức Nguyễn

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Mô tả
Prudential's purpose is to help people get the most out of life.

We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners.

We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions.

We pledge to make Prudential a place where you can Connect, Grow and Succeed.


This role is to be a key part of PVA's ambition of transforming into a data-led organization (going from descriptive to predictive analytics, going from hindsight to insight and foresight) both in planning and execution.

Harness the data generated from sales and transactions to 1.5 million existing customers, 2 millions policies and from activity of hundred thousands of sales agents, develop insights that can be translated into actions that drive business growth at different areas (Agency/Partnership Distribution, Product Development, Operations, Customer service, Fraud detection, etc.)

Job Responsibilities

MAINTAIN BAU REPORTS/ DASHBOARDS FOR THE ASSIGNED FUNCTIONS:

  • Master the data structures and processing rules for the assigned function(s)
  • Prepare & review periodic report/ dashboard (monthly, weekly, daily ) and adhoc requests to support the business stakeholders for the assigned functions & ensure data accuracy and timeliness delivery
  • Actively look for areas of potential simplification/ automation and implement these changes
  • Verify and document data rules, data dictionary so that it is wellmaintained & updated
  • Continuously upgrade data processing & visualization skill sets to catch up with new technology, new strategy
ON PROJECT-BASED (FOR NEW REQUESTS - DASHBOARD OR ANALYSIS

  • Understand the assigned function(s)' specific goals, challenges & opportunities
  • Build dashboard/ Deepdive analysis
  • Support local/ regional data scientists to build predictive models/ advanced analytics work

OTHERS:

  • Share knowledge to other team members
  • Other tasks assigned by managers
Job Requirements


Qualifications:


  • Degree in Business, Mathematics, Statistics, Engineering, Computer Science, or other Quantitative discipline
Experience

  • Min 23 years of solid experience in business intelligence/ business analytics
Knowledge and skill

  • Ability to interpret data and translate them into actionable insights
  • Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is preferred
  • Skilled in SQL and Excel
  • Familiarity with one of the programming language R/Python is a plus
  • Inherently curious about data with a strong desire to keep up to date with the latest developments in analytics and machine learning
  • Attention to details
  • Critical thinking
  • Cando attitude
  • Decent communication skills
Competencies

Leadership Capability Model - N/A
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