NA Supply Chain Analytics, Data Transformation, and AI Innovation Analyst
SandozSandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally. Join us, the future is ours to shape! Position Location: This position will be located at the Princeton, NJ US Headquarters site. Our Sandoz flexible hybrid working approach allows US office-based employees to work up to 50% of their monthly workday remotely. This role will not have the ability to be located remotely. Preference will be given to local candidates not requiring relocation. Major Accountabilities / Your Key Responsibilities: Your responsibilities include, but not limited to: Key Responsibilities: Supply Chain Analytics& Value Delivery: Support the delivery of analytics aligned with North America supply chain priorities, including inventory optimization, service performance, demand and supply visibility, excess and obsolescence reduction, safety stock, and working capital improvement. AI-Driven Insights& Innovation: Assist with identifying, testing, and implementing AI, machine learning, and advanced analytics use cases that improve forecasting, inventory risk detection, root-cause analysis, exception management, scenario planning, and decision support. Self-Service Analytics Enablement: Develop and maintain user-friendly dashboards, reports, and self-service tools that help planners, inventory managers, and cross-functional stakeholders access trusted data, monitor performance, and make timely decisions. Data Standardization, Governance& Quality: Support the standardization of supply chain data definitions, processes, and reporting logic across ERP, planning, inventory, and analytics platforms. Perform data validation and help improve accuracy, consistency, traceability, and confidence in reporting. Automation& Productivity Improvement: Build and enhance automated data workflows, dashboards, and reporting solutions that reduce manual effort, improve cycle times, and create more capacity for analysis and problem solving. Cross-Functional Partnership: Collaborate with Supply Chain, Demand Planning, Finance, Commercial, IT, and Global teams to gather requirements, support recurring business reviews, communicate findings, and encourage adoption of analytics tools and processes. Key Performance Indicators: Analytics Solution Delivery: Demonstrates timely and effective delivery of dashboards, reports, analytical tools, and enhancements in accordance with defined business requirements, quality standards, and agreed timelines. Business Value Realization: Contributes measurable financial and operational value through analytics and automation initiatives, including improvements in inventory health, working capital, service performance, and excess and obsolescence reduction. Automation and Productivity Improvement: Achieves measurable reductions in manual effort, reporting cycle time, and process inefficiencies through the development and enhancement of automated workflows and analytical solutions. Data Quality and Reporting Reliability: Maintains the accuracy, completeness, consistency, and timeliness of supply chain data and reporting, with identified data-quality issues resolved within agreed service levels. Solution Adoption and Stakeholder Satisfaction: Drives sustained adoption and effective use of dashboards, self-service analytics, and related processes, as demonstrated through usage measures, stakeholder feedback, and integration into business decision-making. What you’ll bring to the role: Qualifications: Bachelor’s degree in Supply Chain, Logistics, Data Analytics, Business Analytics, Engineering, Information Systems, or a related field. 2–3 years of experience in supply chain, inventory management, planning, analytics, operations, or a related business function; relevant internships or project experience may be considered. Wo…