Lead - HR Analytics - FMCG/FMCD/BFSI

Talent Analytics Lead

Reports to Head HR

Responsibilities :

- Build a People Analytics & Insights function beginning with setting the vision and 3-year roadmap

- Provide thought leadership on the complete cycle of talent analytics, from sourcing, retention, and development to organizational health and culture, exit information and alumni status, and develop people related KPIs, dashboards and forecast reports to scale analytics & insights to the organization

- Develop employee predictive analytics to identify significant differences, relationships, and trends in data, as well as factors that could affect the results of research, and translate data and trends into strategies and stories to achieve client, program, and business objectives for resource optimization

- Manage and implement surveys including designing questions and reports, delivering executive presentations, creating complex data models and performing analysis to identify trends used for actionable insights and workforce decision-making

- Evaluate effectiveness of all workforce strategies (e.g., training/development, compensation, inclusion & diversity, performance, etc.) and clearly communicate and influence leaders on findings and recommendations

- Partner with the broader HR functions to understand and deliver on their data needs from standard reporting, workforce planning support, to organizational analysis and recommendations

- Partner closely with HRIS and IT to build the required system functionality to collect, analyze and present data

- Provide coaching and training on use and interpretation of data insights

- Develop and maintain appropriate benchmarks with other organizations

- Demonstrate good judgment and discretion in dealing with highly sensitive data

Requirement

You have strong and recent 6-10 years of related experience in business intelligence, data mining, workforce analytics or market insights at a leadership level demonstrated through your intellectual curiosity and ability to handle high levels of ambiguity