THE REQUIREMENTS

• Bachelor’s 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.

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.