Data Analyst (Officer) Data Analyst (Officer) …

Prudential Hong Kong Limited
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 26 May 20
Prudential Hong Kong Limited
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 26 May 20
Data Analyst (Officer)
At Prudential, we understand that success comes from the talent and commitment of our people. Together, we have a shared vision in securing the future of our customers and our communities. We strive to build a business that you can shape, an inclusive workplace where everyone's ideas are valued and a culture where we can thrive together. Our people stay connected and tuned in to what's happening around us, keeping us ahead of the curve. While focused on the long-term, we look to the future to bring growth, development and benefit to everyone whose lives we touch.

Job Responsibilities:

• Perform in-depth quantitative analysis to summarize and forecast business activity based on past, present and expected operations
• Facilitate the preparation of managerial reports based on vast amount of data from various sources, including and yet not limited to data warehouse
• Closely engage with business stakeholders to understand the problems, translate their needs into analytics problems and propose actionable insights
• Use key tools of analytics to produce tangible, sustainable solutions, and present back to business units with recommendations
• Assist in business planning, campaign performance and KPIs tracking by developing advanced reports, analytics and dashboards
• Hands-on practise on Policy Admin daily operations to gain in-depth understanding on the operation flow
• Ad hoc support to UAT of system enhancement projects

Job Requirements:

• University degree in Statistics, Quantitative Analysis, Computer Science, Data Science or a related discipline with minimum 2 years' relevant experience in statistical data analysis
• Hands-on experience of relational database, to be able to understand, to maintain and compose sophisticated database query scripts
• Capability in handling voluminous data and writing efficient queries, and experience in various data transformation techniques to aggregate transactional data
• Strong business acumen and sensitive to consumer market trends
• Strong customer-centric mindset to help building in-depth, pragmatic and intelligent understanding of customer behavior through data analysis
• Well-versed with SQL, SAS, Qlik, Python and other MS Office applications including PowerPoint & Excel
• Highly motivated by new challenges and ability to take full ownership for deliverables
• Flexible enough to react to changes in decisions and adjust accordingly
• Ability to work under tight deadlines, demanding and fast changing situations is critical
• Enjoy continuous monitoring on business trends/standards and be able to research, recommend and apply new ideas as the emerge
• Knowledge on digital marketing, major social media platforms and trends a definite asset