Global-Reward Consultant-In-Senior Associate

Job Title: Senior Reward Analyst

Sub Function: Global Reward Virtual Talent Hub Reports to Reward Senior Consultant

Position Summary:

Virtual Talent Hub (VTH) for the respective function is an integral part of TS service offerings where the extended delivery model is used along with high-quality skills and competencies delivered virtually. This is across service lines and regions – delivering non-repetitive project-based work through skilled agile teams. The team in the virtual hub is an extension of the Global talent teams and will cover operational/non-transactional scope.

This position supports the Global Reward function, with a focus on Compensation, to implement the Performance and Reward Strategy and Services. The role is responsible for independently upholding the quality of benchmarking and delivering compensation survey submissions, including project management, job matching, data preparation, and establishing relationships with Region and Country Reward Leaders as well as external vendors. This role provides analytical support to global reward projects including market pricing, pay range development, compensation benchmarking and analysis, and reporting and analysis for compensation reviews.

The successful candidate will have experience in job matching, compensation survey submissions, benchmarking, market analysis, project management and possess strong communication skills to engage with internal stakeholders and external vendors.

Essential Functions of the Job:

• Lead the compensation survey submissions, job matching and benchmarking studies with globally sourced vendors, collaborating closely with local and country reward team members to prepare and review submissions. Currently four multimarket globally sourced surveys across between 20 – 70 Countries.
• Project manage compensation survey submissions, detailing activities, timelines, communication plans, and providing necessary tools or templates to facilitate the submissions.
• Provide guidance to Region / Country Reward leaders throughout the submission process to review and validate benchmarking and employee data sets, ensuring high quality submissions and internal matching.
• Prepare and conduct reward analysis, then synthesize findings from the analysis into visual graphs, storytelling, and presentations for various stakeholders. This includes internal and external benchmarking analysis and annual compensation review summary.
• Liaise directly with external benchmarking vendors and lead the contract renewal for survey contracts and administration.
• Analytical and data management support to the development, implementation, and maintenance of global reward and analytic tools, utilising technical knowledge and experience with various power BI dashboards and tools related to reward and analytics.
• Capable of working with large data sets for preparing analyses, ensuring high standards of accuracy and quality in all outputs. Expected to review own work and cross check work of others.
• Responsible for performing regular updates to compensation management tools (e.g. CompAnalyst or Salary.com), by preparing and reviewing necessary benchmarking data, addressing anomalies, and updating business rules, collaborating with Regional Reward teams.
• Support Global Total Reward Consultant to drive adoption of Global strategy in the Regions through the development of pay ranges, market pricing, pay transparency analysis and benchmarking consultation.
• Provide operational support during and after the annual compensation review cycle, encompassing post-review analysis and reporting for global leadership, including developing and review processes, toolkits, or templates to support analysis and identify improvement opportunities.

Knowledge and Skills Requirements:

• Strong business acumen – ability to focus specialism initiatives on priorities and collaborate with internal network.
• Strong knowledge of the Talent strategy, trends, leading practices, services and, solutions and external benchmarking surveys
• Ability to establish and manage virtual networks across diverse and dispersed geographies
• Strong teaming skills; collaborate effectively across talent ecosystem and wider EY firm
• Strong organizational skills and attention to detail - the ability to operate within budget and effective time frames
• Strong research and analytical skills to track and interpret trending directions for specialism and identify potential future options
• Advanced technical skills (prefer) to perform complex analysis and reporting in Excel and other software, including Power BI, SQL and other tools
• Respected ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment

Other Requirements:

• Due to the global nature of the role; travel and willingness to work alternative hours will be required
• Due to the global nature of the role; English language skills - excellent written and verbal communication will be required

Job Requirements:

Education:

Bachelor/master’s degree in HR/other studies & postgraduate diploma in HR (or completed HR courses)

Experience:

• 6-8 years of experience in a Reward role bringing insights and experience of service design and delivery
• Demonstrable experience of collaborating with Talent or business colleagues to understand and interpret business issues and of proposing/recommending appropriate action, including proposing changes to existing ways of working to optimize performance
• Strong experience in working effectively in globally dispersed teams to enhance services, frameworks, processes and, standards
• Demonstrable experience of working in a central team to manage networks and of sharing insights and best practices to help enhance service delivery and performance at a local level
• Demonstrable experience of working flexibly as part of a project team/squad to providing subject matter expertise and ensure the effective design and quality of service solutions
• Demonstrable experience of working in fast-paced, ambiguous, stressful environments to deliver required results