Data Analytics Specialist for Workforce Optimization

2 meses atrás


Lisboa, Lisboa, Portugal Nestle Operational Services Worldwide Sa Tempo inteiro

About Us
Nestlé Business Services (NBS) plays a pivotal role within the Nestlé Group, providing Supply Chain, Financial, HR, Digital & social media, and Consumer Engagement services to facilitate Nestlé's engagement with millions of consumers worldwide. Our team comprises diverse and multicultural professionals who are passionate about digital innovation and dedicated to driving continuous process improvement.

Position Summary
We are currently seeking a Workforce & Data Analytics Specialist at Nestlé Business Services. Reporting to the CRC Nespresso Operations Lead, this role is responsible for a team of CRC Coffee Specialists, supporting the CRC to successfully achieve performance targets and optimize resource usage, driving sustainable, cost-efficient operations focused on best customer satisfaction for Nespresso Brand.

A Day in the Life of...
Supporting the CRC Operational Master Plan through short- and long-term forecast information, jointly predicting the impact that trends and market patterns will have on the CRC workload and subsequent Customer Experience. Overseeing established work schedules of CRC Specialists, evaluating and adapting scheduling and work practices to minimize variance between forecasted demand needs and staff availability. Maximizing the work schedule for internal resources by implementing processes and practices to facilitate the working conditions of CRC Specialists, in full respect of business bets. Overseeing real-time monitoring and real-time management, transaction allocation and routing to specific locations, queues, and personnel. Ensuring that decision support reports and dashboards are released in collaboration with stakeholder teams, making CRC Specialist performance indicators available, allowing Team Leaders to train employees to continually strive for higher performance. The reports tailored numbers including workload trends, personnel requirements, and key performance results for different audiences (CS, TL, Local ManCom, and HQ) to create recommendations.



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