Data-Driven Supply Chain Analyst: Drive Forecasts & Efficiency

Kramp; Varsseveld; Hybrid; EUR 42,000 - 64,000; Full time

Benefits offered by this job

25 vacation days

12 ADV days

Travel and home‑working allowance

Profit sharing bonus

Training and development budget

Pension plan

Job summary

Kramp is seeking a Supply Chain Analyst to optimize the end-to-end supply chain by turning data into actionable insights. You will partner with stakeholders to improve forecast accuracy, resilience, and operational efficiency across markets.

Join a collaborative Supply Chain Excellence team and contribute to S&OP and S&OE processes, dashboard development, and continuous improvement initiatives. A Master’s degree with 1–4 years of analytical experience is preferred.

Qualifications

• Master's degree with 1–4 years of experience in analytics, supply chain, or a similar role.
• Strong analytical mindset with ability to translate data into business value.
• Hands-on experience with SQL, Python, Tableau, or Power BI.
• Clear communicator who can influence decisions through insights.

Responsibilities

• Translate data into clear insights and actionable improvements across supply chain.
• Support better decision-making in S&OP and S&OE processes with practical solutions.
• Drive data-driven analyses to improve forecast accuracy, planning adherence, and efficiency.
• Identify trends, risks, and opportunities in demand, inventory, and supply performance.
• Design and build dashboards, models, and analyses for transparency and control across the supply chain.

Skills

Analytical mindset

SQL

Python

Tableau/Power BI

Education

Master's degree in a relevant field

Tools

SQL

Python

Tableau

Power BI

Job description

Kramp is seeking a Supply Chain Analyst to optimize the end-to-end supply chain by turning data into actionable insights. You will partner with stakeholders to improve forecast accuracy, resilience, and operational efficiency across markets.

Join a collaborative Supply Chain Excellence team and contribute to S&OP and S&OE processes, dashboard development, and continuous improvement initiatives. A Master’s degree with 1–4 years of analytical experience is preferred.