Supply Chain Analyst

At Panduit, we don’t just offer a job – we offer a career where your contributions directly impact our customers, the environment and our company’s success. You’ll have the opportunity to grow, innovate, and be a part of an inclusive team that celebrates both individual and collective achievements. If you’re ready to elevate your career and help us deliver exceptional experiences to our customers, apply today and make your mark with Panduit!

• →Manage data flow, ensure accuracy, and optimize database structures: Clean, transform, and prepare data for analysis using SQL or ETL tools. Manage ETL processes to ensure seamless data flow between systems such as OTBI and SAP. Implement data validation processes and optimize databases for enhanced performance and accessibility. (35%)
• →Design dashboards and reports to support decision-making: Develop and maintain intermediate dashboards and reports that support strategic planning, focusing on trends and performance optimization like consignment reports. Create visualizations to analyze supply chain performance and ensure reports align with internal customer needs, including planning, sourcing, and KPM analysis. (35%)
• →Analyze data trends and build predictive models: Establish centralized data repositories for improved data access, conduct data audits to maintain integrity and accuracy, and collaborate on projects that involve statistical analysis and predictive modeling. (15%)
• →Collaborate with BI Analysts and internal teams: Partner with analysts to validate datasets and develop advanced analytical solutions. Provide support to internal clients with data-related queries and ad-hoc analysis. (15%)

• Required Degree: Bachelor's Degree OR an equivalent combination of education, training, experience, and certifications sufficient to achieve position expectations required. (or local country equivalent education). Bachelor’s Degree in one of the following fields:• Business Administration/ Intl. Business: Strong foundation in business processes, useful for understanding supply chain dynamics. • Industrial Engineering: Provides knowledge in process optimization and supply chain fundamentals. Solid foundation in technical skills, beneficial for working with data systems. Emphasis on analytics, modeling and optimization in a supply chain context. • Data Science/Analytics: Focus on data preparation, data transformation, and integration. Also, extracting insights from data, predictive analytics and statistical modeling.
• 0-2 years Experience in supply chain function or related field Required
• Experience or coursework in ETL tools, data management, and SQL/database systems. Preferred

• Certifications in data analytics or predictive modeling can be advantageous. (Optional) Preferred

• Oracle knowledge (Low proficiency)
• Data visualization tools such as PowerBI, OTBI, BO. (Low proficiency)
• Desired knowledge in statistical analysis software, and Python. (Optional) (Low proficiency)
• Proficiency in Excel; Power BI a plus (Medium proficiency)

Last updated: 04/17/2026