Expert Data Analyst – Logistics Processes (all genders)

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GELITA AG
Munkavégzés helye

Hibrid

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárások
- Angol felsőfok és
- Német felsőfok
- 1-3 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Data Analysis & Reporting:Collect, clean, and analyze logistics-related data from various sources (e.g., shipment times, inventory levels, warehouse efficiency, transport routes, delivery performance).Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and logistics metrics (e.g., on-time delivery, cost per shipment, inventory turnover).Identify trends, anomalies, and areas for improvement in logistics processes through data analysis.Process Improvement Proposals:Use data insights to propose actionable recommendations for optimizing logistics workflows, reducing costs, and improving operational efficiency.Collaborate with logistics and operations teams to develop solutions to address inefficiencies or bottlenecks identified through data analysis.Assist in defining scope and metrics for improvement initiatives within the logistics domain.Collaboration & Communication:Work closely with cross-functional teams (logistics, supply chain, finance, IT) to understand data needs and ensure alignment on data-driven decisions.Present findings and recommendations to stakeholders, including management, in a clear and concise manner.Support the implementation of process changes based on data-driven insights to ensure alignment with business goals.Continuous Improvement:Monitor the impact of implemented process improvements and refine strategies based on results.Stay up to date with trends in data analytics and logistics technology, and proactively suggest ways to leverage new tools and methods to improve operations.Improve the (financial) logistics data and standardize the way it becomes available in order to create more transparency and ease the reporting.

Requirements

EducationBachelor's degree in Data Science, Business Analytics, Supply Chain Management, Logistics, Economics, or a related field (preferred).ExperienceStrong analytical skills and experience with data analysis, data visualization, and reporting.Familiarity with logistics and supply chain processes is a plus, but not mandatory.Experience with data analysis tools such as Excel, SQL and Power BI (programming and use).Experience with SAP S/4HANA is helpful.Experience of using AI tools (ChatGPT-5, MS Co-Pilot) for analysis.Basic understanding of logistics operations, such as transportation management, warehousing, or inventory control, is advantageous.SkillsExcellent problem-solving skills and attention to detail.Ability to analyze large datasets and derive actionable insights.Strong communication skills to effectively present findings and recommendations.Collaborative mindset and ability to work with cross-functional teams.Self-motivated with the ability to manage multiple tasks and meet deadlines.Business fluency in German and English.Preferred (but not required)Knowledge of advanced analytics or optimization techniques (e.g., route optimization, inventory forecasting).Experience with logistics-specific software or systems (e.g., TMS, WMS, ERP).

What we offer

Access to a Germany-wide network of fitness studios, swimming pools, and a wide range of sports activities through Hansefit – flexible use for health and well-being.
Our own gym - with a fantastic view of the Neckar and professional trainer support.
Attractive compensation and numerous additional benefits guaranteed by the collective agreement for the chemical industry. In addition to vacation and Christmas bonuses, there are extensive pension benefits.
Generous company pension scheme. Collectively agreed subsidies and an employer contribution when converting salary for your private pension. CareFlex long-term care insurance.
Flexible working hours and generous company regulations for working from home. Possibility to combine mobile work and vacation (workation).
Possibility to convert pay or leave for career breaks or earlier retirement.
Employer subsidy for the JobTicket. JobRad from deferred compensation. Parking facilities. E-charging stations for company vehicles. Pool vehicles for all employees to use on business trips.
Canteen with daily fresh and regional meals, subsidized by GELITA.
Opportunity for exchange and networking in our coffee lounge.

Company info

The GELITA Group is one of the world's leading manufacturers of collagen proteins and is represented on all continents with more than 2,900 employees and 20 sites. With our global presence and expertise, we provide natural collagen protein solutions in the food, health and nutrition markets as well as in the pharmaceutical and medical industries. In addition, our products offer a wide range of exciting innovative technical applications. Guided by our GELITA Values and scientific research, we drive innovation and consistently focus on excellence, experience and customer orientation.

We are seeking a motivated and detail-oriented Data Analyst (all genders) to join our logistics team. This person will play a crucial role in analyzing logistics data, identifying trends and bottlenecks, and proposing actionable insights to optimize our supply chain and logistics operations. While experience in logistics processes is preferred, it is not mandatory; in-depth knowledge of Power BI is recommended. We value strong analytical skills and a drive to improve processes through data-driven decisions.

Expert Data Analyst – Logistics Processes (all genders)