Remote Supply Chain Analyst: Data-Driven Optimizer

Ewals Group; Barcelona; À distance; EUR 40 000 - 56 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Fully remote work

Health, dental and vision insurance

Professional development

Collaborative environment

Résumé du poste

Ewals Group is seeking a highly analytical, data-driven Supply Chain Analyst to join our remote team. You will analyze supply chain performance, identify inefficiencies, and develop data-backed recommendations to optimize operations from your home office.

Responsibilities include collecting and interpreting data, building dashboards and reports to visualize KPIs, and proposing data-driven solutions to reduce costs and improve inventory and transport efficiency.

Qualifications

• Bachelor's degree required in a relevant field.
• Proven experience as a Supply Chain Analyst or similar.
• Proficiency with data analysis tools (Excel, SQL) and BI tools.
• Strong analytical, problem-solving, and communication skills.
• Experience working in a remote environment preferred.

Responsabilités

• Collect, analyze, and interpret data from the supply chain (inventory, transportation, costs).
• Develop reports and dashboards to visualize KPIs and trends.
• Identify bottlenecks and propose data-driven solutions.
• Collaborate with logistics, procurement, and sales to implement improvements.
• Support forecasting and inventory planning activities.

Connaissances

Data analysis

Analytical thinking

Communication

Problem solving

Formation

Bachelor's degree in Supply Chain Management or related field

Outils

Excel

SQL

Power BI

Tableau

Description du poste

Ewals Group is seeking a highly analytical, data-driven Supply Chain Analyst to join our remote team. You will analyze supply chain performance, identify inefficiencies, and develop data-backed recommendations to optimize operations from your home office.

Responsibilities include collecting and interpreting data, building dashboards and reports to visualize KPIs, and proposing data-driven solutions to reduce costs and improve inventory and transport efficiency.