Strategic Supply Chain Data Analytics Lead

Prysmian Group; Australia; Hybrid; AUD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and benefits

Job summary

Prysmian Group is seeking a highly analytical Supply Chain Data Analytics Specialist to identify cost savings and efficiency gains across warehouse operations, transport, and distribution networks. This role will leverage advanced data analytics, modeling, and business insights to deliver measurable financial benefits.

You will build savings pipelines, track KPIs such as cost per unit, DIO, and service levels, and translate insights into actionable improvements.

Qualifications

• Bachelor’s degree or equivalent in supply chain, analytics, or related field.
• Experience in supply chain analytics, logistics optimization, or operations improvement.
• Advanced Excel modeling; proficiency in Power BI / Tableau; Python / R / SQL.
• Experience with ERP/WMS/TMS data environments (e.g., SAP) is a plus.

Responsibilities

• Identify, quantify, and deliver cost-saving initiatives across warehouse operations, transportation, and distribution network
• Build and track savings pipelines, ensuring initiatives are measurable and realized
• Analyze large datasets to identify process inefficiencies, cost drivers, service bottlenecks
• Apply advanced analytics techniques such as predictive modeling, scenario simulations (what-if analysis)
• Support network design and reconfiguration projects
• Analyze warehouse location strategy, inventory placements, and service level vs cost trade-offs
• Evaluate impact of demand changes, growth scenarios, and new market entries
• Define and track critical KPIs: Cost per unit / tonne Warehouse productivity metrics Transport cost per km / route Inventory days (DIO), service levels
• Cross-Functional Collaboration with warehouse and distribution, 3PL service provider, planning team, IT / Digital teams
• Translate analytical insights into actionable operational improvements

Skills

Excel modeling

Power BI

Tableau

Python/SQL

ERP/WMS/TMS data

Education

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

Tools

SAP

Job description

Prysmian Group is seeking a highly analytical Supply Chain Data Analytics Specialist to identify cost savings and efficiency gains across warehouse operations, transport, and distribution networks. This role will leverage advanced data analytics, modeling, and business insights to deliver measurable financial benefits.

You will build savings pipelines, track KPIs such as cost per unit, DIO, and service levels, and translate insights into actionable improvements.