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Döhler

Global supplier of natural food ingredients

Manager Group Inventory Analytics

Inventory ManagementUpdated on Nov 14
Full-timeDarmstadt, GermanyNo salary listedIn-person

About the Job

Requirements

  • A completed university degree in Data Science, Statistics, Mathematics, Operations Research, Industrial Engineering, Supply Chain Management, Computer Science, or a comparable quantitatively oriented field.
  • Two to five years of professional experience in inventory analytics, supply chain analytics, operations research, data science, planning analytics, or a related field.
  • Strong practical knowledge of inventory theory, including safety stock, service levels, stockout risks, reorder points, target inventory logic, and uncertainty in replenishment planning.
  • Experience applying statistical models, simulations, scenario and sensitivity analyses, and optimization methods to inventory, supply chain, or operational decisions.
  • Very good programming skills in Python; knowledge of SQL and relevant libraries for data processing, statistical analysis, visualization, and simulation is required.
  • Strong understanding of end-to-end supply chain processes.
  • Strong analytical and structured problem-solving skills, including the ability to turn ambiguous business questions into practical recommendations.
  • Analytical curiosity and accuracy, and the confidence to challenge assumptions and communicate limitations transparently.
  • Ability to balance analytical depth with business relevance and operational feasibility.
  • Very good communication and stakeholder-management skills, including the ability to explain complex methods and trade-offs to nontechnical audiences.
  • Business-fluent English skills; English is the working language.

Responsibilities

  • Develop and improve analytical methods to recommend safety stock, reorder points, target inventory, service-level settings, replenishment frequencies, and other relevant planning parameters.
  • Select and apply suitable inventory models considering demand, procurement, lead-time, product, and operational characteristics.
  • Model demand and lead-time uncertainty and transparently present its effects on service levels, stockout risks, and inventory levels.
  • Evaluate forecast-based, reorder-point-based, and other replenishment strategies, considering planning cycles, ordering restrictions, and operating conditions.
  • Account for relevant factors such as demand variability, seasonality, intermittent demand, supplier reliability, minimum order quantities, lot sizes, shelf life, and product life-cycle effects.
  • Design and conduct simulations, including Monte Carlo simulations when appropriate, to evaluate inventory strategies, service targets, scenarios, and operational constraints.
  • Validate recommendations through backtesting, sensitivity analysis, and scenario analysis, and document assumptions, logic, and limitations.
  • Develop and maintain scalable, reproducible analytical tools and automated workflows using Python and suitable technologies for data processing, statistics, and visualization.
  • Assess the quality and availability of demand, inventory, procurement, lead-time, master, and service data, and work with data owners to address limitations.
  • Translate complex analyses into clear visualizations, decision materials, and practical recommendations for Group Inventory Management and relevant stakeholders.
  • Conduct ad hoc analyses of inventory deviations, procurement and service risks, inventory build-up, excess and obsolete inventory, and other business questions.
  • Contribute to the ongoing development of methods, tools, standards, and capabilities in inventory analytics across the global supply chain organization.

Desired Qualifications

  • Experience with ERP, planning, inventory-management, advanced planning and scheduling (APS), optimization, or dashboarding tools.
  • Experience in the food and beverage, ingredients, fast-moving consumer goods (FMCG), process-industry, or a comparable environment.
  • German language skills.

About the Company

Döhler

Global supplier of natural food ingredients

Döhler is a global supplier of natural ingredients for the food and beverage industry. Its products include natural colors, specialty ingredients, flavoring compounds, and fruit preparations that manufacturers use to color, flavor, and shape the texture of foods and drinks. Döhler’s offerings work by providing ready-to-use ingredients and formulations that integrate into food and beverage production, helping brands achieve consistent taste, appearance, and mouthfeel. The company differentiates itself through a long, private family history dating back to 1838, a steady strategy of growth via acquisitions, and a global footprint, reinforced by a 2024 strategic partnership with a major international ingredient supplier. Its goal is to be a leading global provider of natural ingredient solutions for the food and beverage industry, supporting manufacturers from formulation to finished products.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Darmstadt, Germany
Founded
1838

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