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Ernst & Young

Global professional services: consulting, assurance, tax

Assistant Director - Total Rewards Analytics

Compensation & BenefitsUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A graduate or postgraduate qualification is required.
  • At least 8 years of compensation and benefits experience, including hands-on human resources or compensation analytics experience, is required.
  • Advanced Microsoft Excel skills are required, including building macros, using Power Query and other Microsoft 365 functions.
  • Power BI or Tableau dashboard development skills are required.
  • Data analytics and visualization skills are required.
  • Statistical modeling and workforce analytics skills are required.
  • Experience with human resources information systems such as Workday, SAP SuccessFactors or Oracle HCM is required.
  • A good understanding of compensation and benefits principles and practices, including legislation in India, is required.
  • Knowledge of basic taxation laws applying to compensation in India is required.
  • Strong analytical, problem-solving and quantitative skills, along with a track record of planning, performing and auditing work, are required.
  • Ability to identify reward optimization opportunities using internal data streams and external networks is required.
  • Ability to identify Total Rewards program opportunities through local networks is required.
  • Strong verbal, written and interpersonal skills for internal presentations are required.
  • Ability to seek out information, communicate information and requests clearly, and provide quality advice is required.
  • Ability to manage communication and relationships effectively in a highly matrixed organization is required.
  • Ability to work independently and take initiative is required.

Responsibilities

  • Support the Total Rewards portfolio for specific businesses, as well as the Benefits, wellness and Policies portfolio for GDS India activities.
  • Serve as the analytical anchor for annual reward-cycle budgeting, benchmarking and review, using predictive modeling and workforce analytics to inform strategy.
  • Partner with Talent teams and business-line management to identify, analyze and address compensation issues, and provide data-backed total compensation philosophies and strategies to stakeholders.
  • Partner with Talent teams and business clients to manage and consult on compensation- and benefits-related issues, and develop solutions on total compensation matters, including fixed-pay and variable-pay levels.
  • Analyze compensation and benefits interventions and calculate their return on investment using quantitative metrics.
  • Build, maintain and scale interactive compensation dashboards, scorecards and executive reporting platforms.
  • Support the assigned lead through the compensation activity lifecycle, including benchmarking, budgeting, increase and bonus cycles.
  • Build and use existing networks to source market intelligence.
  • Assess recruitment and talent-retention data through root-cause analysis and statistical modeling, and provide actionable recommendations for program design.
  • Perform ad hoc analyses for costing, program effectiveness and trends.
  • Select and participate in compensation and benefits surveys to analyze the company's competitive market position for each in-country location.
  • Identify opportunities for technology transformation in processes and process steps.
  • Develop predictive and scenario-based financial models for long-term compensation planning, pay-band structures and budget optimization.
  • Generate data-backed recommendations to improve reward effectiveness and workforce outcomes.
  • Analyze pay equity and compensation fairness, market positioning, salary competitiveness, variable-pay effectiveness, promotion and progression trends, attrition and retention risk, workforce demographics and talent segmentation.
  • Support change management and communicate changes to employees.
  • Partner with Procurement and Risk Management when necessary for onboarding new service providers.
  • Take fiscal responsibility for program budgets and ensure their judicious use.
  • Evaluate benefit programs to identify key differences and potential areas of alignment.
  • Recommend benefit-program design changes suitable for global and local cultural contexts and a diverse workforce.

Desired Qualifications

  • Expertise in building custom analytical tools, dynamic models and automated reporting templates to interpret complex data sets.
  • Strong project management skills and ability to manage multiple projects and priorities.
  • Ability to create tools and models for interpreting and analyzing data.
  • Ability to understand the nuances of diverse businesses and develop customized yet scalable and consistent solutions.
  • Extensive understanding of industry-wide Total Rewards programs and how they operate.
  • Ability to break down problems or processes into components and develop alternative solutions.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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