Supply Chain Analyst

From the depths of the ocean to the pinnacles of the world’s tallest buildings, Prysmian drives new forms of energy and information to each and every corner of the earth. We offer the widest range of services and know-how in the industry. Each year, our Company manufactures thousands of KMs of underground and submarine cables and systems for power transmission and distribution, as well as medium and low voltage cables for the construction and infrastructure sectors. We also produce a comprehensive range of optical fibres, copper cables and connectivity systems for voice, video, and data transmission for the telecommunications sector.  Become part of a global network of 30,000 colleagues spanning 50 countries, all committed to connecting the planet's pathways!

We are seeking a highly analytical and results-driven Supply Chain Analyst to identify operational efficiency and cost savings across warehouse operations, transport, and distribution networks.

This role will leverage advanced data analytics, modeling, and business insights to identify optimization opportunities, improve service levels, and deliver measurable financial benefits.

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  Identify, quantify, and deliver cost-saving initiatives across warehouse operations, transportation, and distribution network

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  Build and track savings pipelines, ensuring initiatives are measurable and realized

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   Analyze large datasets to identify process inefficiencies, cost drivers, service bottlenecks

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  Apply advanced analytics techniques such as predictive modeling, scenario simulations (what-if analysis)

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  Support network design and reconfiguration projects

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  Analyze warehouse location strategy, inventory placements, and service level vs cost trade-offs

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  Evaluate impact of demand changes, growth scenarios, and new market entries

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  Define and track critical KPIs:

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    Cost per unit / tonne

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    Warehouse productivity metrics

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    Transport cost per km / route

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    Inventory days (DIO), service levels

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• Bachelor’s degree in Supply Chain, Engineering, Data Analytics, or related field

• Or experience in supply chain analytics, logistics optimization, operations improvement

• Advanced proficiency in Excel (advanced modeling), Power BI / Tableau, Python / R / SQL (will be plus)

• Experience with: ERP/WMS/TMS data environments (e.g., SAP) would be a plus

• Strong analytical and problem-solving skills

• Ability to translate data into business actions

• Continuous improvement mindset (Lean / Six Sigma preferred)