Join EY Global Delivery Services (GDS) as an Assistant Director in Total Rewards Analytics, contributing to a better working world. This role offers a challenging and rewarding career in a high-growth organization, valuing wellbeing, curiosity, and agility. You will be instrumental in shaping the future of Total Rewards by leveraging advanced analytics and predictive modeling to drive strategic compensation and benefits decisions.

As part of a collaborative and inclusive team, you will have the opportunity to build a career that is as unique as you are, with the global scale and support of EY. We are looking for individuals who are passionate about making a tangible impact and fostering a positive work environment.

As the core analytical anchor for the Total Rewards portfolio, you will support budgeting, benchmarking, and review processes for compensation and benefits. Key responsibilities include leveraging predictive modeling and workforce analytics to inform strategy, partnering with Talent teams and business leaders to address compensation issues with data-backed philosophies, and managing compensation and benefit-related consultations. You will also build interactive dashboards, scorecards, and executive reporting platforms, identify market intelligence sources, and perform deep-dive root cause analysis on talent retention data.

You will be responsible for conducting advanced compensation analytics, including pay equity, market positioning, and attrition risk analysis. Developing predictive financial models for long-term compensation planning and budget optimization is crucial. Furthermore, you will contribute to change management processes, collaborate with Procurement and Risk management, and ensure fiscally responsible program budget utilization. Evaluating and transforming benefit programs with global and local cultural considerations are also integral to this role.

To excel in this role, you should possess a Graduate or Post Graduate qualification, coupled with 8-12 years of proven experience in compensation and benefits, with a strong focus on HR/Compensation Analytics. Essential technical skills include advanced Microsoft Excel (Macros, Power Query), Power BI/Tableau dashboard development, data analytics, visualization, statistical modeling, and workforce analytics. Familiarity with HRIS platforms like Workday, SAP SuccessFactors, or Oracle HCM is required.

Additionally, a solid understanding of compensation and benefits systems, legislation in India, and basic taxation laws related to compensation is necessary. Strong analytical, problem-solving, and quantitative skills are paramount, alongside a proven track record in planning and auditing work. Ideally, you will have expertise in building custom analytical tools, dynamic models, and automated reporting templates, along with strong project management capabilities to handle multiple priorities.