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

Responsibilities

  • Develop and improve analytical methods for recommending safety stocks, reorder points, target stock levels, service-level settings, replenishment frequencies, and related planning parameters.
  • Select and apply appropriate inventory models based on demand, supply, lead-time, product, and operational characteristics.
  • Model demand and lead-time uncertainty and make the impacts on service levels, stockout risks, and inventory transparent.
  • Evaluate forecast-driven, reorder-point-driven, and other replenishment policies, considering review cycles, order constraints, and operational realities.
  • Account for demand variability, seasonality, intermittent demand, supplier reliability, minimum order quantities, batch sizes, shelf life, and product lifecycle effects.
  • Design and conduct simulations, including Monte Carlo simulations where appropriate, to assess inventory policies, service targets, scenarios, and operational constraints.
  • Validate recommendations through back-testing, sensitivity analysis, and scenario analysis, while documenting assumptions, logic, and limitations.
  • Develop and maintain scalable, reproducible analytical tools and automated workflows using Python and suitable data-processing, statistical, and visualization technologies.
  • Assess the quality and availability of demand, inventory, supply, lead-time, master-data, 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 on inventory deviations, supply and service risks, inventory build-ups, excess and obsolete inventory, and other business questions.
  • Contribute to the continuous development of inventory analytics methods, tools, standards, and capabilities across the global Supply Chain organization.

Desired Qualifications

  • Experience with ERP, planning, inventory-management, APS, optimization, or dashboarding tools is an advantage.
  • Experience in Food & Beverage, Ingredients, FMCG, process manufacturing, or a comparable environment is an advantage.
  • German language proficiency is an advantage.

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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