美商韋萊韜悅企業管理顧問股份有限公司台灣分公司
Analyst/ Associate, Rewards Data Intelligence
10/16 Updated
Full-time
Mid to Senior Level
6 ~ 10 applicants

Salary & Location

Salary negotiable
(Regular monthly salary of NT$40,000 or above)
台北市信義區

Required

Work Experience
2年以上

Job Description

The Business
WTW Data Services is a global centre of excellence for compensation, benefits and employment practices information. Our databases cover almost 100 countries, ensuring we can support companies wherever they do business. Our rigorous data processes, coupled with the depth of our databases, guarantee the delivery of high-quality, robust data and consistent reporting practices.
In addition to compensation surveys, we publish reference materials that help HR practitioners attract, retain and reward exceptional employees. We also provide tools to help compensation and benefit managers analyze market data efficiently and conduct in-depth analysis to aid future program planning.
The role
Maintain and expand assigned Data Services industry, and contribute to reward solution in projects to achieve business objectives
Performance Objectives:
Client
• Provide value-added consulting services for clients and build community relationship to maintain long-term client relationship and expand own client database
• Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
Excellence
• Plan and deliver annual Data Services reports to ensure the report quality and on-time delivery
• Contribute to reward solution projects through continued professional growth for achieving the LOB’s business objectives
• Conduct knowledge sharing or contribute article to professional magazine to build personal brand
• Demonstrate the ability to integrate industry and compensation domain knowledge to provide best solution for clients
Financial
• Meet chargeable hours targets
• Take proactive actions to probe and identify clients’ potential needs to create derivative business opportunities
People
• Build relationships internally and collaborate effectively on cross-functional teams
Number of Openings
1~1人
Educational Requirements
大學(學院)以上
Work Schedule
日班
Leave Policy
依公司規定
Job Category
Human Resource Personnel
6 ~ 10 applicants