Planning Analyst (All genders)
Stark · Munich
Apply directly on Stark’s careers site — no account needed.
About the role
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.
About the team
Your mission
As Planning Analyst, you are the analytical engine of the Operations Planning and Analytics team. You build and maintain the models, dashboards, and data packs that keep the S&OP process and management reporting running - working closely with the BI/Reporting Analyst to ensure the data feeding your models is clean and structured.
Responsibilities
Build and maintain planning models for demand, supply, and inventory
Prepare weekly business review / monthly business review data packs — actuals vs. targets, KPI summaries, variance commentary
Develop and maintain KPI dashboards in Power BI or equivalent
Support S&OP data preparation: consolidating inputs, validating data, flagging gaps
Work with the BI/Reporting Analyst to migrate outputs from manual exports to structured pipelines
Respond to ad-hoc analytical requests from the OPA Lead and operational stakeholders
Qualifications
2–4 years in operations planning, supply chain analysis, or business analysis
Advanced Excel - complex models, structured references, clean formatting
SQL (basic to intermediate) - able to query and validate operational data
Power BI or equivalent - dashboard development and maintenance
Structured thinking and attention to detail - numbers must be right
BSc in Industrial Engineering, Business Administration, or similar
Nice to have
Experience in a manufacturing or industrial environment
Familiarity with ERP systems and how operational data is structured at source
Experience working in an S&OP process
Skills
- SQL
- Tableau
- Power BI
- Looker
- Python
- R
- Excel
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