Manager Group Inventory Analytics (m/f/d)

DöhlerGroup; Darmstadt; On-site; EUR 70,000 - 100,000; Full time

Job summary

DöhlerGroup is seeking a Manager Group Inventory Analytics (m/f/d) in Darmstadt to lead advanced analytics for optimizing inventory across the global supply chain. You will build models, simulations, and decision-support tools to trade off service, working capital, cost and risk.

You will partner with Group Inventory Management to evaluate replenishment strategies and parameters. The role focuses on developing scalable analytics, translating complex analyses into clear visuals, and driving

Qualifications

• University degree in a quantitative discipline (Data Science, Statistics, Mathematics, OR, IS, or similar).
• 2–5 years of experience in inventory analytics, supply chain analytics or related fields.
• Strong knowledge of inventory theory (safety stocks, service levels, reorder points, replenishment uncertainty).
• Experience with statistical models, simulations, optimization methods or scenario analysis.

Responsibilities

• Develop and improve analytical methods for safety stocks, reorder points, target stock levels, service levels, replenishment frequencies and planning parameters.
• Select and apply inventory models based on demand, lead-time and product characteristics.
• Model demand and lead-time uncertainty to assess service levels and stockout risks.
• Evaluate forecast-driven and other replenishment policies and their feasibility.
• Account for demand variability, seasonality, supplier reliability, batch sizes, shelf life and lifecycle effects.
• Design and conduct simulations (e.g., Monte Carlo) to assess inventory policies and scenarios.
• Validate recommendations with back-testing, sensitivity, and scenario analysis.
• Develop scalable, reproducible analytics tools and automated workflows in Python.
• Assess data quality and availability; work with data owners to address gaps.
• Translate analyses into visualizations and actionable materials for management and stakeholders.
• Conduct ad hoc analyses on deviations, risks and obsolete inventory.
• Contribute to ongoing development of inventory analytics methods and capabilities across the organization.

Skills

Analytical thinking

Problem solving

Communication

Stakeholder management

Python programming

Education

University degree in data science / quantitative field

Tools

Python

SQL

ERP systems

Dashboard tools

Job description

Company Description

Are you interested in high-quality, natural, and tasty nutrition?

We are! It's our ambition to shape the future of nutrition.

Döhler is a leading global producer of natural ingredients and solutions for the food, beverage, lifestyle and nutrition industries. We use innovative technology to process plant-based raw materials and enrich products such as lifestyle drinks, cereals, dairy, and confectionery goods for almost every well-known brand.

Close to 10.000 dedicated employees in more than 70 countries share one common goal - to ensure that millions of people around the world enjoy the products created by us.

We strive to inspire and empower our employees in everything we do, and we invite you to join our team – together WE BRING IDEAS TO LIFE.

Job Description

To strengthen our Group Supply Chain Planning organization in Darmstadt, we are looking for a Manager Group Inventory Analytics (m/f/d). In this role, you will provide advanced analytics to optimize inventory across Döhler’s global end-to-end supply chain. You will develop inventory models, simulations and decision-support tools that make the trade-offs between customer service, working capital, cost, quality, supply risk, capacity and resilience transparent. As the analytical partner to Group Inventory Management, you will evaluate replenishment strategies and provide robust recommendations for planning parameters. The position has no disciplinary responsibility and reports directly to the Manager Group Inventory Management.

Your 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, making the impact 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 relevant factors such as 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.

Qualifications

• University degree in Data Science, Statistics, Mathematics, Operations Research, Industrial Engineering, Supply Chain Management, Computer Science or a comparable quantitative discipline.
• 2–5 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 stocks, service levels, stockout risks, reorder points, target-stock logic and replenishment uncertainty.
• Experience applying statistical models, simulations, scenario analysis, sensitivity analysis or optimization methods to inventory, supply chain or operational decisions.
• Strong programming skills in Python; knowledge of SQL and relevant data-processing, statistical-analysis, visualization and simulation libraries is required.
• Experience with ERP, planning, inventory-management, APS, optimization or dashboarding tools is an advantage.
• Sound understanding of end-to-end Supply Chain processes; experience in Food & Beverage, Ingredients, FMCG, process manufacturing or a comparable environment is an advantage.
• Exceptional analytical and structured problem-solving skills, with the ability to translate ambiguous business questions into practical recommendations.
• Intellectual curiosity and analytical rigor, combined with the confidence to challenge assumptions and communicate limitations transparently.
• Ability to balance analytical sophistication with business relevance and operational feasibility.
• Strong communication and stakeholder-management skills, including the ability to explain complex methods and trade-offs to nontechnical audiences.
• Business-fluent English as the working language; German is an advantage.

Additional Information

What WeOffer:

• Work withpassion: We create an environment where passion meets profession. Meaningful work and positive energy inspire people to give their best and make lasting contribution to our shared success.
• Take ownership: We empower you to take ownership and share your ideas. Whatever your role, you have the opportunity to show initiative and make an impact.
• Grow yourway: With flexibledevelopmentopportunitiesacross departments and a global team, you can broaden your skills, discover newstrengthsand actively shape your career path.
• Thrive in a global environment: Join an international team bringing together multiplecultures,languagesand perspectives to sparknew ideasand inspiration.Through global collaboration, you expand your horizon both professionally and personally.
• The team always wins: We build real connections and grow together. By sharing knowledge and valuing each other’s strengths, we create a culture where trust and team playlead to shared success.

What WeOffer

• Work withpassion: We create an environment where passion meets profession. Meaningful work and positive energy inspire people to give their best and make lasting contribution to our shared success.
• Take ownership: We empower you to take ownership and share your ideas. Whatever your role, you have the opportunity to show initiative and make an impact.
• Grow yourway: With flexibledevelopmentopportunitiesacross departments and a global team, you can broaden your skills, discover newstrengthsand actively shape your career path.
• Thrive in a global environment: Join an international team bringing together multiplecultures,languagesand perspectives to sparknew ideasand inspiration.Through global collaboration, you expand your horizon both professionally and personally.
• The team always wins: We build real connections and grow together. By sharing knowledge and valuing each other’s strengths, we create a culture where trust and team playlead to shared success.

EqualOpportunities for All

We welcome applications from people of all backgrounds regardless of age, ancestry, disability, ethnic origin, gender, gender identity or expression, nationality, religion, sexual orientation, social background or any other characteristic protected by applicable laws, regulations and ordinances.

A good match starts with shared values. Complete our Culture Fit Challenge to find out how well your mindset aligns with the way we work.