Hiring.Camp

Supply Chain Data Analytics Specialist

Prysmiangroup

·

Today

Location
Liverpool, Australia
Type
Full-time
Department
Operations
Source
Workday

Description

Who we are:

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!

The role:

We are seeking a highly analytical and results-driven Supply Chain Data Analytics Specialist 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.

What you'll do:

  • 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

What you'll need to succeed:

  • 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)

Why Join Us?

  • Be part of a global leader in energy and telecom cable and connectivity systems.

  • Work in a dynamic, inclusive, and driven and safety-focused environment.

  • Competitive salary and benefits on offer

Prysmian , as an Equal Opportunity Employer, aims to attract and recruit individuals with diverse backgrounds, skills, and abilities. We strongly believe that diversity brings significant value at all levels of the organization, increasing the possibility of capturing market opportunities and maximizing value for our customers and stakeholders. With Diversity, Equity, and Inclusion (DE&I) as part of our Social Ambition 2030 and a strategic pillar of our Company culture, Prysmian is committed to the development of an organization that prioritizes talent, where people feel respected, included, and free to fully express their potential just as they are.


All Managers and HRs in Prysmian are responsible for ensuring DE&I policies are respected during the recruiting process, as well as recognizing and mitigating unconscious biases that must not influence our selection processes. All persons will be considered for employment without regard to their race, ethnicity, religion, nationality, origin, citizenship status, socio-economic status, age, sex, gender identity or expression, sexual orientation, marital status, disability, military service or veteran status, pregnancy, parental leave, medical conditions, or any other characteristic protected by applicable federal, state or local laws. Prysmian will endeavor to make a reasonable accommodation for any disclosed physical or neurological condition or disability of a qualified applicant unless the accommodation would impose an undue hardship on the operation of our business.

Visit our DE&I Page to learn more about Prysmian's commitments.

Your application data will be treated according to our Data Protection Policy. If you believe you require assistance to complete this form or to participate in an interview, please let us know.

Skills

PythonSQLExcelSAPTableauPower BIWarehouse OperationsERPWMSSix SigmaR

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Supply Chain Data Analytics Specialist at Prysmiangroup | Hiring.Camp