Nänikon, Zürich, Switzerland
32 days ago
Supply Chain Analytics Specialist
Our Opening and Your ResponsibilitiesOur 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 risksUse statistical analysis, NLP and machine learning techniques to extract meaning from unstructured data and perform advanced text analysisStreamline internal and external supply chain reporting processes to ensure compliance and drive efficiency Develop and maintain supply chain models to support decision makingFoster data literacy within the organization by providing training and mentorship to other teams across the companyMeasure and track key performance indicators (KPIs) to assess supply chain performanceAnalyze supply chain data to identify trends and opportunities for improvementCommunicate and present data-driven analyses and recommendations to colleagues across multiple hierarchy levelsStay up to date on industry trends and best practices in supply chain and especially trade compliance analyticsWhat You Need to SucceedFollowing requirements are necessary for this role: You have an academic degree in Natural Science, Data Science, Business Analytics or related field of studyIdeally you already have several years of work experience in a data-related field or SCMYou 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 plusYou are a well-structured, data driven, analytical, detail-oriented and communicative person who likes to collaborate with multicultural colleaguesKnowledge in trade compliance topics and regulations is a plusYou are fluent in English, German is an advantageOur Offer to YouWe offer:Flexible working hours (depending on the role), a hybrid work model, and a wide portfolio of training opportunitiesA 40-hour work week with at least 25 vacation days per year, plus 4 to 7 additional days off between bank holidaysFree parking and direct access to public transportHealthy 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 businessesYou 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 e-mail, 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 ToledoMETTLER 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 EmploymentWe 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.
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