Supply Chain Financial Analyst Intern

Position Overview: This internship provides an opportunity to gain hands-on experience in supply chain management, financial planning and analysis, and manufacturing. The Summer 2027 Supply Chain FP&A Intern will partner with the Manufacturing Finance team on important business projects focused on enhancing the organization's data and analytics capabilities. The intern will leverage operational, financial, and manufacturing data to identify key cost drivers, generate actionable insights, and develop scalable analytical solutions. The internship takes place in Summer 2027. Responsibilities: Example #1 - Financial Modeling & Scenario Analysis. Develop analytical tools that help business leaders evaluate manufacturing and sourcing decisions. Create scenario-based models to assess the financial impact of inventory levels, production strategies, and supply chain investments. Example #2 - Manufacturing Performance Analytics. Analyze production volume, operational performance, and financial results to identify trends, opportunities, and key cost drivers. Present insights and recommendations that support improved business performance and decision-making. Example #3 - Financial Reporting & Dashboard Development. Support efforts to standardize reporting across multiple manufacturing and agricultural operations. Leverage data from diverse systems to build dashboards and reporting solutions that improve visibility, enable meaningful comparisons, and enhance decision support capabilities. Learning agility and adaptability. Qualifications: Undergraduate students who will have completed their junior or senior year by the start of the internship and will remain academically active through the internship, with an anticipated graduation date between August 2027 and April 2028. Technical Skills: Microsoft Excel, Microsoft PowerPoint, Data analysis and interpretation. Strong quantitative and analytical skills. SQL. Tableau. Power BI. Alteryx. Google Cloud Platform (GCP). Amazon Web Services (AWS). Python. Financial modeling and dashboard development experience. Curiosity and desire to understand the story behind the data. Cross-functional mindset and ability to connect financial and operational information. Compensation: The compensation for this role is $24.36–$25.55 per hour. About Us: We are an HR consultancy firm, and we help candidates match with the potential roles by using an Artificial Intelligence System which is free of cost. Our approach to matchmaking utilizes several different formats throughout the course of the recruiting process. In addition to speaking with our recruiters and client-serving professionals, we also leverage the use of the Artificial Intelligence System to help you understand your strengths and strategize your career ahead. We can let you know better once you submit your resume.

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