Lead Associate - Rewards Data Intelligence
Lead Associate - Rewards Data Intelligence
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Job Description
The Role
As a Rewards Data Intelligence (RDI) Lead Consultant you will play a moderately significant role in driving the growth and profitability of the RDI practice as a team member for key client groups support medium- to large-size projects and be involved in marketing and selling Willis Towers Watson Rewards data & software products and services. This includes standard and bespoke surveys as well as selling and delivering compensation-based project work such as salary structure development compensation and benefits reviews and conducting pay assessments.
As a key resource for selected industries and/or manager of selected client accounts you will support the collection of compensation and benefits data by exercising influence through your client relationships and provide expert inputs on data validation analysis and reporting through in-depth understanding of the industries/clients under your care.
You will be involved in the provision of compensation and benefits data consulting support to clients across various industries.
Performance Objectives:
Excellence
- Displays strong understanding and knowledge of firm-wide survey methodologies and processes
- Develops and maintains strong understanding of available WTW products and services
- Lead research on client problems and unmet data needs to identify develop and evaluate new product ideas or enhancements to existing products translate research discoveries into usable and marketable solutions.
- Identify and develop products and solutions that can help grow and transform the data business by designing and building models / algorithms to drive predictive & prescriptive analytics across the customer journey and product portfolio.
- Identify opportunities for leveraging advanced analytics in transforming the business products and solutions for clients.
- Mine and analyze data to drive optimization and improvement of product development marketing techniques and business strategies.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Continuously develop technical and consulting skills (e.g. selling and project management skills)
- Support medium- and/or project-manage several small-sized projects paying strict adherence to strong project management standards quality project deliverable outcomes
- and meeting client requirements in a timely manner
People & Clients
- Serve as a key team member for selected industries by establishing and maintaining close relationships with survey clients
- Lead analysis on trends and insights preparation for client meetings/events.
- Drive small client group presentations or one-to-one meetings and provide support for large client group presentations.
- Build strong relationships externally and internally and collaborate effectively on cross functional teams
- Demonstrate natural ease and effectiveness when dealing with clients/colleagues
- Drive the revenue growth of allocated industry sectors and/or surveys
- Drive business development and account management activities to meet revenue targets
- Lead the development and execution of industry research and business development plans by identifying key target industries groups associations etc.
- Lead proposal development and presentation activities
- Support and guide less experienced members of the team
Qualifications
The Requirements
- Bachelors Degree in Accountancy Business Administration Mathematics Economics or a related discipline involving significant quantitative course work
- 3 - 8 years of relevant Compensation-related experience
- 2 years of experience in solving complex business problems using data science statistical techniques & machine learning to build predictive & prescriptive solutions across the product portfolios and customer journeys.
- Demonstrated success in working with dynamic and autonomous teams in a global organization including experience working in an agile environment with iterative feedback.
- Able to identify and solve challenges think outside the box facilitate discussions support achievement of consensus on project teams and execute ideas.
- Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions
- Excellent problem-solving skills with ability to synthesize & communicate moderately complex matters to senior leaders.
- Attention to detail with focus on data quality data consistency and criticality.
- Ability to shape ambiguity & prioritize in a matrixed environment across organizational boundaries.
- Experienced in providing insights to support higher-level strategic decisions including preparing and delivering insights and recommendations and visualizing presenting and
- effectively communicating data.
- Maintain confidentiality regarding client data and other information interfaced with during the course of employment.
Equal Opportunity Employer
Required Experience:
IC
Employment Type
Full-Time
