Manager - Total Rewards Analytics

Job Summary

You are expected to support the Total Rewards portfolio for specific businesses along with Benefits, wellness and Policies portfolio for GDS India Activities. You will act as the core analytical anchor for the Annual Reward cycle budgeting, benchmarking, and review process, leveraging predictive modelling and workforce analytics to drive strategy. You will proactively partner with other Talent teams and business line management to identify, analyse, and address compensation issues, with data-backed total compensation philosophies and strategies to key stakeholders. You will effectively partner with other Talent teams and business clients to manage, consult on compensation and benefit-related issues. Provide guidance to the business and develop creative solutions on a variety of total compensation issues including the setting of appropriate fixed pay, variable pay levels.

Responsibilities

• Advanced Compensation Analytics Data Intelligence: Data-Driven Decision Making: Ensure deep-dive analysis and calculate ROI of all compensation and benefit interventions using quantitative metrics.
• Dashboarding Visualization: Build, maintain, and scale interactive compensation dashboards, scorecards, and executive reporting platforms. You will support the assigned lead in the entire life cycle of compensation activities ranging from compensation benchmarking, budgeting, increase and bonus cycles.
• You will be accountable to build and tap existing networks for sources of Market intelligence
• You will build strong network and be able to assess the pulse of Recruitment and Talent retention data points by performing deep-dive root cause analysis, statistical modeling, and providing actionable recommendations for program design.
• Perform ad hoc analysis for costing, program effectiveness and trend purposes
• Identify, select and participate in compensation and benefits surveys to analyse the company's competitive market position for each in-country location
• Look for opportunities to do technology transformation in process areas and steps.

Compensation analytics

• Predictive Modelling: Develop predictive and scenario-based financial models to support long-term compensation planning, pay-band structures, and budget optimization.
• Strategic Recommendations: Generate actionable, data-backed insights to continuously improve reward effectiveness and optimise workforce outcomes.
• Ensure deep dive analysis, ROI of all compensation interventions.
• Build compensation dashboards, scorecards, and executive reports.
• Conduct analyses related to: 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.
• Help in the change management process and communicate the same to the larger employees.
• Partnering with Procurement and Risk management as and when necessary, when new service providers are signed up for.
• Has to be fiscally responsible for the program budgets.
• Will be accountable for the judicious use of budgets towards program
• Evaluate and compare existing benefit programs to identify key differences and possible areas of alignment
• Transforming existing benefit programs by recommending design changes that would work from Global, local cultural perspective and cutting through a diverse workforce.

Skills and attributes for success

• Analytical Leadership: A self-starter and initiative taker who leverages data to independently identify program improvements and trends.
• Ability to tap into internal data streams and external networks to identify reward optimization opportunities.
• A self-starter and initative taker and work independently.
• Should be able to tap into local networks to identify Total Rewards program opportunities
• Must possess strong verbal, written and interpersonal skills for internal presentations.
• Ability to seek out information, clearly communicate information and requests and provide quality advice
• Ability to effectively manage communication and relationships in a highly matrix organization structure
• Demonstrate the ability to highly network and also look for opportunities to attend external forums.

To qualify for the role, you must have

• Graduate or a post graduate qualification
• 8-12 years of proven compensation and benefits experience with strong hands-on experience in HR/Compensation Analytics.
• Technical Skills as per following:
  • Advanced Microsoft Excel (Building Macros, Power Query, Other O365 related functions).
  • Power BI / Tableau dashboard development.
  • Data analytics and visualization.
  • Statistical modelling and workforce analytics.
  • HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM, etc.).
• Good understanding of the principles and practices of compensation and benefits systems and legislation in India
• Knows basic taxation laws applying to compensation in India
• Strong analytical, problem solving skills and quantitative skills and a track record for planning, doing and auditing work;

Ideally, you'll also have

• 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 at once.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.