Supply Chain Analytics Specialist

Our Opening and Your Responsibilities Our Global Supply Chain Management organization is looking to expand our advanced analytics capabilities with a dedicated focus on Trade Compliance. For our Supply Chain Data & Analytics Team in Nänikon we are looking for a Supply Chain Analytics Specialist 100% (all genders). In this role, you will leverage analytical skills to generate actionable insights that help reduce risk and complexity in our supply chain, with a special emphasis on ensuring compliance with international trade regulations and policies. In this role, your responsibilities would include: Collaborate closely with interdisciplinary teams, especially Global Trade Compliance, to optimize supply chain processes and implement workflows that reduce costs and mitigate compliance risks Use statistical analysis, NLP and machine learning techniques to extract meaning from unstructured data and perform advanced text analysis Streamline internal and external supply chain reporting processes to ensure compliance and drive efficiency Develop and maintain supply chain models to support decision making Foster data literacy within the organization by providing training and mentorship to other teams across the company Measure and track key performance indicators (KPIs) to assess supply chain performance Analyze supply chain data to identify trends and opportunities for improvement Communicate and present data-driven analyses and recommendations to colleagues across multiple hierarchy levels Stay up to date on industry trends and best practices in supply chain and especially trade compliance analytics What You Need to Succeed Following requirements are necessary for this role: You have an academic degree in Natural Science, Data Science, Business Analytics or related field of study Ideally you already have several years of work experience in a data-related field or SCM You have technical skills in BI and visualization (SAC, PowerBI) and knowledge in programming (e.g. Python, KNIME, etc.) Knowledge in SAP, Machine Learning, AI and project management is a plus You are a well-structured, data driven, analytical, detail-oriented and communicative person who likes to collaborate with multicultural colleagues Knowledge in trade compliance topics and regulations is a plus You are fluent in English, German is an advantage Our Offer to You We offer: Flexible working hours (depending on the role), a hybrid work model, and a wide portfolio of training opportunities A 40-hour work week with at least 25 vacation days per year, plus 4 to 7 additional days off between bank holidays Free parking and direct access to public transport Healthy lunches cooked onsite at our own METTLER TOLEDO restaurant, with special prices for employees A range of additional attractive benefits, including employee discounts at select area businesses You can expect challenging, interesting, and varied tasks in an innovative and international environment, with the opportunity to network globally and achieve your career goals. Have we raised your interest? Then we look forward to receiving your complete application at our Job portal. Please note that we do not accept any application documents via email, only applications submitted on our job platform due to our data protection guidelines. Furthermore, we do currently not accept applications from recruitment agencies for this role. If you have any question, please do not hesitate to contact our Talent Acquisition Team ta-ch@mt.com. About Mettler Toledo METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit www.mt.com. Equal Opportunity Employment We are an equal opportunity employer and value diversity at our company. We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification. You can find more details in our Equal Employment Opportunity Policy. #J-18808-Ljbffr