Demand and Data Analyst

Michael Page

Amsterdam

Hybrid

EUR 42,000 - 65,000

Full time

4 days ago
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Benefits offered by this job

Hybrid working model

Job summary

Michael Page in Amsterdam is seeking a data-driven Supply Chain Analytics professional to support demand planning and forecasting across European markets.

You will develop automated reports and dashboards (Power BI) and collaborate with international stakeholders to ensure reliable planning outcomes; hybrid work in a fast-paced, data-driven environment.

Qualifications

  • Bachelor's degree in a relevant field such as Supply Chain, Analytics or Operations.
  • Minimum 2 years of Data Analysis, Demand Planning, Forecasting or Supply Chain Analytics.
  • Advanced Excel skills; Power BI experience strongly desired.
  • Strong analytical mindset with attention to detail; collaboration across teams.
  • Experience with ERP systems such as SAP is advantageous.
  • Fluent in English and able to work in a hybrid environment.

Responsibilities

  • Analyse and interpret demand planning and forecasting data to support decisions.
  • Develop, maintain, and automate reports, dashboards, and KPI tracking.
  • Prepare and manage large datasets through data uploads, downloads and validation.
  • Support monthly forecasting and S&OP activities across European markets.
  • Identify trends, risks, anomalies, and opportunities to improve forecast accuracy.
  • Collaborate with supply chain, commercial, marketing and operations teams.
  • Drive continuous improvements in reporting, analytics and data management.

Skills

Power BI
Excel
Data Analysis
Demand Planning
Forecasting
ERP SAP

Education

Bachelor's degree in Supply Chain/Business Analytics/Operations

Tools

Power BI
Excel
SAP

Job description

  • Gain experience in an international European Supply Chain environment.
  • Work with advanced data analytics, forecasting, and Power BI tools.
About Our Client

Our client is a leading international organisation with a strong presence across Europe and a highly collaborative supply chain function. Operating in a fast-paced and data-driven environment, the business is focused on continuous improvement, operational excellence, and delivering exceptional service across its European markets. The organisation offers a multicultural working environment where employees have the opportunity to work closely with international stakeholders and contribute to strategic business decisions.

Job Description
  • Analyse and interpret demand planning and forecasting data to support business decisions.
  • Develop, maintain, and automate reports, dashboards, and KPI tracking.
  • Prepare and manage large datasets through data uploads, downloads, and validation processes.
  • Support monthly forecasting and S&OP activities across European markets.
  • Identify trends, risks, anomalies, and opportunities to improve forecast accuracy.
  • Collaborate with supply chain, commercial, marketing, and operations teams to ensure reliable planning outcomes.
  • Drive continuous improvements in reporting, analytics, and data management processes.
The Successful Applicant
  • Bachelor's degree in Supply Chain, Business Analytics, Operations, or a related field.
  • Minimum 2 years of experience in Data Analysis, Demand Planning, Forecasting, or Supply Chain Analytics.
  • Advanced Excel skills are essential, experience with Power BI is highly desirable.
  • Strong analytical mindset with excellent attention to detail.
  • Experience working with ERP systems such as SAP is advantageous.
  • Confident communicator who enjoys collaborating with international stakeholders.
  • Fluent in English and available to work in a hybrid environment.
What's on Offer
  • Immediate start within a high-performing international organisation.
  • Initial 6-month contract with strong potential for extension.
  • Exposure to European supply chain operations and international stakeholders.
  • Hybrid working model with flexibility and collaboration.
  • Opportunity to work with advanced analytics, forecasting tools, Power BI, and large datasets.
  • Dynamic and supportive team environment with visible business impact.
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