Supply Chain Analyst (Material Planning & ERP)

About Us

STARK is a new kind of defence technology company revolutionising the way autonomous systems are deployed across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective — providing operators with a decisive edge in contested environments.

We are focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe, today.

Your mission

As a Supply Chain Analyst (Material Planning & ERP), you will ensure the seamless availability of materials to keep our production lines running without interruption. You will act as the critical link between procurement, warehouse and production, identifying potential bottlenecks and implementing long-term solutions to eliminate supply chain blockers. Beyond daily disposition, you will play a key role in our digital transformation of our ERP system, transitioning from basic functions to a fully optimized, data-driven supply chain engine.

Qualifications

• Bachelors degree in Supply Chain Management, Economics, Business Informatics / Information Systems, Business Analytics / Data Science, Computer Science, Information Management / Information Systems or a similar field

• 2+ years of experience in procurement and logistics

• You possess exceptional analytical skills and the ability to draw actionable insights from complex datasets

• Experience working with ERP systems; familiarity with NetSuite is a significant plus

• A highly organized working style with the ability to manage multiple stakeholders and follow up on processes until they are fully implemented.

• Ability to collaborate effectively with cross-functional teams such as Engineering, Procurement, Warehouse, and Production

• Fluency in both German and English is required.

Nice to have

• Previous experience building databases (private, internship, or working-student experience)

• Previous experience building business analytics dashboards

• Familiarity with BI tools (PowerBI, Tableau, or Data Studio/Looker Studio) and/or data pipeline concepts (data standardisation, data normalisation etc.)