![Prudential plc](https://media.trabajo.org/img/noimg.jpg)
Data Analytics Senior Specialist
1 week ago
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.
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.
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
Job ID
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