Data Analyst Supply Chain

As a Supply Chain Network Modeler at Cencora, you will play a crucial role in developing, maintaining, and applying network models to transform complex supply chain data into actionable insights for strategic and operational decision-making. Your responsibilities will include: - Developing, maintaining, and enhancing end-to-end supply chain network models covering facilities flows, transportation capacity, inventory, and service performance. - Translating business problems into scenario-based network analyses that evaluate cost-to-serve, service levels, capacity constraints, and investment alternatives. - Partnering with cross-functional teams to scope modeling opportunities, gather and validate inputs, align scenarios and assumptions, interpret and communicate results, and support network optimization and simulation initiatives. - Creating standardized dashboards and visualizations to effectively communicate model inputs, outputs, and tradeoffs to technical and non-technical audiences. - Documenting modeling assumptions, methodologies, data sources, and limitations to ensure transparency, repeatability, and governance. - Contributing to the development of modeling best practices, templates, and training materials to support the growth of internal citizen modelers. - Staying current with emerging trends in network modeling, optimization, simulation, and advanced analytics. Qualifications required for this role include: - Bachelor's or Master's degree in Industrial Engineering, Operations Research, Supply Chain, Data Analytics, Mathematics, Statistics, Computer Science, or a related field. - 3 years of experience in supply chain analytics, network modeling, optimization, or related quantitative roles. - Demonstrated experience applying analytical techniques to business problems and translating results into actionable recommendations. - Strong technical skills in quantitative modeling, statistics, and optimization techniques. - Hands-on experience with supply chain network modeling or optimization tools such as Llamasoft, Coupa, AnyLogistix, OptiLogic, or similar. - Proficiency in data analysis and modeling languages such as Python, R, SQL, SAS, and Databricks. - Experience working with large datasets and integrating data from ERP, WMS, TMS, transportation, inventory, or forecasting systems. - Familiarity with business intelligence and visualization tools such as Power BI, DataBricks, Tableau, and Qlik. - Understanding of cost-to-serve, transportation tradeoffs, capacity planning, and service optimization concepts. In addition to technical skills, you should possess: - A team-oriented and highly collaborative working style. - Strong analytical, conceptual, and problem-solving skills. - Effective communication skills with both technical and non-technical stakeholders. - Strong presentation and storytelling abilities to explain complex modeling outcomes clearly and persuasively. - Strong organizational skills, attention to detail, and ability to manage multiple tasks effectively in a dynamic environment. - Sound judgment and discretion when working with sensitive or complex information. - Comfort working in a remote, cross-functional, multidisciplinary environment. - A growth mindset with a strong interest in solving business challenges and continuously improving modeling capabilities. Cencora is an equal opportunity employer committed to providing a harassment-free and non-discriminatory work environment. Reasonable accommodations are available for individuals with disabilities during the employment process. If you require an accommodation, please contact us directly. As a Supply Chain Network Modeler at Cencora, you will play a crucial role in developing, maintaining, and applying network models to transform complex supply chain data into actionable insights for strategic and operational decision-making. Your responsibilities will include: - Developing, maintaining, and enhancing end-to-end supply chain network models covering facilities flows, transportation capacity, inventory, and service performance. - Translating business problems into scenario-based network analyses that evaluate cost-to-serve, service levels, capacity constraints, and investment alternatives. - Partnering with cross-functional teams to scope modeling opportunities, gather and validate inputs, align scenarios and assumptions, interpret and communicate results, and support network optimization and simulation initiatives. - Creating standardized dashboards and visualizations to effectively communicate model inputs, outputs, and tradeoffs to technical and non-technical audiences. - Documenting modeling assumptions, methodologies, data sources, and limitations to ensure transparency, repeatability, and governance. - Contributing to the development of modeling best practices, templates, and training materials to support the growth of internal citizen modelers. - Staying current with emerging trends in network modeling, optimization, s