Early Career Supply Chain Role (Planner or Analyst)
About the position HAVI is a global, privately owned company focused on innovating, optimizing and managing the supply chains of leading brands. Offering services in marketing analytics, packaging, supply chain management and logistics, HAVI partners with companies to address challenges big and small across the supply chain, from commodity to customer. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. HAVI's supply chain services are complemented by the customer engagement services offered by our affiliated company The Marketing Store. For more information, please visit HAVI.com. Are you looking to begin your career in Supply Chain? Do you want to have an impact on the global food service supply chain? Do you seek continuous development and improvement? If your answer is yes to these questions, then HAVI might have the perfect opportunity for you. HAVI is seeking a recent Supply Chain/Analytics/Data Science Graduate or early Supply Chain career individual to join our Global Supply Chain Planning and Analytics team in June 2025. As you begin your career, HAVI's opportunity will provide a 10-week paid intensive onboarding experience covering our supply chain planning and analytics business. Upon completion, you will be placed in a full-time role as a Supply Chain Data Analyst or Planner where you will be able to apply your learnings and insights to make an impact on our business and our global food service customers. This is a hybrid opportunity. We have a beautiful office in the Fulton Market District of Chicago that allows employees to come together to collaborate, socialize and work together in the office 2 - 3 days a week and spend the other days working from your home location. Requirements • Have a degree in Supply Chain, Analytics, Industrial Engineering, Data Science or related fields and 2 years or less of related work experience • Demonstrated time management skills through course work and extracurricular activities • MS Office experience (Excel, Word, PowerPoint) • Knowledge of statistical, optimization, machine learning or other analytic methodologies is a plus • Good written and verbal communication • Collaborative/teamwork oriented • Demonstration of clear strong desire for continuous development Benefits • Generous medical, dental, vision and other great benefits • Paid parental and medical leave programs • 401(k) with a company match component and profit sharing • 15 days of paid time off plus company holidays • Hybrid work model with flexibility • Tuition reimbursement and student loan repayment assistance Apply tot his job