Senior Supply Chain & Logistics Analyst

Empresaconfidencial

Barcelona

Presencial

EUR 52.000 - 76.000

Jornada completa

hace 9 horas
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Descripción de la vacante

Empresaconfidencial is seeking an experienced data analytics professional to support global supply chain and logistics through data-driven decision-making, dashboards, and digital transformation projects.

You will work with cross-functional teams to improve efficiency, reduce costs, and enhance visibility across the supply chain. Fluency in English and ability to navigate a fast-paced, international environment are essential.

Formación

  • 4–6 years of experience in supply chain analytics, logistics, or similar.
  • Strong analytical and problem-solving abilities with data-driven insights.
  • Experience with reporting, data visualization and business intelligence tools.
  • Familiarity with AI, machine learning or generative AI is a plus.
  • Excellent communication and stakeholder management skills.

Responsabilidades

  • Provide analytical insights and recommendations to optimize logistics and supply chain.
  • Monitor performance, identify opportunities to improve efficiency and reduce costs.
  • Develop dashboards, reports, and tools to support operations and decision making.
  • Collaborate with cross-functional teams across regions to support planning and execution.
  • Create analytical models for forecasting, planning, and performance monitoring.
  • Explore AI and advanced analytics to increase productivity.

Conocimientos

Analytical skills
Problem solving
Advanced Excel
Data analysis
Reporting & dashboards
BI tools
Data visualization
AI / ML familiarity
Stakeholder management

Educación

Bachelor's degree

Herramientas

BI tools
Excel
Data visualization

Descripción del empleo

We are looking for an experienced analyst to support global supply chain and logistics operations through data-driven decision-making, process improvement, and digital transformation initiatives. This role works closely with cross-functional teams to enhance operational efficiency, optimize costs, and develop tools that improve business performance and visibility across the supply chain.

Key Responsibilities:
Supply Chain & Logistics Support
  • Support logistics and supply chain activities by providing analytical insights and business recommendations.
  • Monitor operational performance and identify opportunities to improve efficiency and reduce costs.
  • Collaborate with internal stakeholders across different regions and functions to support planning and execution activities.
  • Track key logistics and supply chain metrics and contribute to continuous improvement initiatives.
Digital Solutions & Process Improvement
  • Develop and maintain digital tools, dashboards, and reporting solutions to support business operations.
  • Automate workflows and streamline processes using modern collaboration and productivity platforms.
  • Improve data quality, reporting accuracy, and accessibility of information.
  • Support digitalization and transformation projects aimed at enhancing operational effectiveness.
  • Analyze large datasets to identify trends, risks, and improvement opportunities.
  • Create reports, dashboards, and visualizations to support decision-making.
  • Develop analytical models to improve forecasting, planning, and performance monitoring.
  • Explore and implement AI and advanced analytics solutions to increase productivity and business value.
Requirements:
  • Bachelor's degree in Supply Chain, Engineering, Data Analytics, Business Administration, Computer Science, or a related field.
  • Approximately 4-6 years of experience in supply chain, logistics, operations, analytics, or a similar business environment.
  • Strong analytical and problem-solving skills, with the ability to convert data into actionable insights.
  • Experience working with reporting, data visualization, and business intelligence tools.
  • Advanced Excel skills and experience with data analysis platforms.
  • Knowledge of process automation, digital solutions, and modern workplace technologies is highly valued.
  • Familiarity with AI, machine learning, or generative AI applications is a plus.
  • Strong communication and stakeholder management skills.
  • Ability to work effectively in a fast-paced, international, and collaborative environment.
  • Fluent English is required; additional languages are an advantage.
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