Remote Supply Chain Analyst - Data-Driven Optimizer

Stellantis

Zaragoza

Remote

EUR 36,000 - 54,000

Full time

6 days ago
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Benefits offered by this job

Competitive salary
Fully remote work
Health, dental, and vision insurance
Professional development
Collaborative work environment

Job summary

Stellantis is seeking a highly analytical Supply Chain Analyst to join a dynamic, fully remote team. You will analyze supply chain performance, identify inefficiencies, and develop data-backed recommendations to optimize inventory, transportation costs, and overall supply chain effectiveness from your home office.

The role emphasizes data visualization, collaboration with logistics, procurement, and sales teams, and contributing to strategic planning and forecasting for inventory and demand.

Qualifications

  • Bachelor's degree or equivalent in SCM/OR/Statistics/Economics.
  • Proven analytical experience with data-driven decision making.
  • Proficiency with Excel, SQL, and BI tools.

Responsibilities

  • Collect, analyze, and interpret data from various sources within the supply chain.
  • Develop reports and dashboards to visualize KPIs and identify trends.
  • Identify bottlenecks and inefficiencies and propose data-driven solutions.
  • Collaborate with logistics, procurement, and sales to implement process improvements.
  • Support strategic planning and forecasting related to inventory and demand.

Skills

Data analysis
Excel
SQL
Tableau
Power BI
Communication
Remote work

Education

Bachelor's degree in SCM/OR/Statistics/Economics

Tools

SQL queries

Job description

Stellantis is seeking a highly analytical Supply Chain Analyst to join a dynamic, fully remote team. You will analyze supply chain performance, identify inefficiencies, and develop data-backed recommendations to optimize inventory, transportation costs, and overall supply chain effectiveness from your home office.

The role emphasizes data visualization, collaboration with logistics, procurement, and sales teams, and contributing to strategic planning and forecasting for inventory and demand.

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