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.
- Primary responsibility of designing interactive visualisations and automation within Qlik Sense & NPrinting
- End to end and hands on experience on Qlik Sense platform management, Architecture (in-memory data discovery architecture), Report/Dashboard Development & User adaption.
- Responsible for Qlik Sense Apps Deployment (single and multi-node environment), Security & User role-based access activity processes
- Collaborate with business users for automation of existing manual extraction and reporting with SQL and SAS EG technologies.
- Performing matching algorithms on Data Sharing exchanges
- Development and testing of data extract scripts. Data validation & assistance with UAT (user acceptance testing).
- Create new and maintain existing reports using SQL and SAS EG reporting tools.
- Maintaining weekly/monthly data extraction for business users with SQL/SAS EG
- Must know advanced scripting, aggregation functions, advanced charts, and extensions with hands on experience with Qlik Sense Apps Deployment, Security & User role-based access activity processes
- Create functional & technical documentation related to Business Intelligence deliverables particularly around Campaign and Leads Management
- Applies principles, concepts and techniques of skills in developing best practice solutions and strategies.
- Ensures that the visualization architecture is well planned and in agreement with standards of data governance & security guidelines
- Drive to support various on-going initiatives including NPrinting, report and dashboard building
**Qualifications**:
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
- Knowledge of insurance or financial services is preferred