Supply Chain Data Analytics Lead

hace 1 semana


Santa Cruz, Costa Rica Thermo Fisher Scientific A tiempo completo

**Job Overview**

This role will oversee a team of analysts who support the Global Supply Chain team, enabling digital capabilities for cross-functional supply chain planning, procurement insights, and analytics.

The Supply Chain Data Analytics Lead will partner closely with the Procurement Analytics, Site Planning, and IT teams to develop digital supply chain capabilities, including standard KPIs, API automation, and reporting. The role will lead multiple initiatives to support technology and analytical needs across the enterprise supply chain.

**Key Responsibilities**

- Build and develop the SC/Reporting & Analytics function within the Procurement Center of Excellence, aligned with Thermo Fisher's digital supply chain strategy.
- Establish and drive automation of existing and new reports, standardizing process execution within the function.
- Manage workload and prioritize reporting & analytics requests from business and supply chain users.
- Collect, model, and analyze data for materials management, planning, supply chain, inventory, supplier, and category-level data for all sites.
- Develop dashboards showcasing key insights for required data sets.

**Functional Skills**

- Advanced analytics skills required to collect and interpret data for supply chain decisions.
- Excel expertise and experience with Power BI, Tableau, and Alteryx are necessary.
- Supply Chain, Procurement, Operations knowledge is required.
- Expertise in statistical and financial models is essential.
- Experience with translational databases and coding is a plus.
- Workflow management tools and data lake implementation experience are desired.

**Leadership Skills**

- Project management skills with the ability to take initiative, track deadlines, and drive projects to completion.
- Highly analytical with strong attention to detail; working closely with data providers and supply chain leaders to achieve high data accuracy and provide insights.
- Creative thinker who looks for ways to improve processes and visualizations of data.

**Working Conditions**

This role requires a collaborative work environment with extended data analytics community involvement. The successful candidate will have excellent communication and interpersonal skills, with the ability to work effectively with various stakeholders.


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