Senior Business Intelligence Engineer - Supply Chain Analytics

Hybrid - 3 days in the office a week

Chicago, IL

Up to $150k

A leading manufacturing company dedicated to innovation, quality, and operational excellence, with a global footprint and a commitment to leveraging cutting-edge technologies, revolutionizing supply chain operations to deliver exceptional value to our customers.

The Role

An individual with expertise in supply chain analytics, collaborating with cross-functional teams to design and deliver BI solutions that optimize supply chain performance, enhance decision-making, and drive operational efficiencies.

Key Responsibilities

• Develop and maintain advanced BI dashboards and reporting solutions to support end-to-end supply chain processes, including procurement, production, inventory management, and logistics.
• Collaborate with supply chain, manufacturing, and IT teams to gather and translate business requirements into scalable BI solutions.
• Design, build, and optimize ETL processes to ensure seamless integration of data from multiple systems, including ERP, WMS, and TMS platforms.
• Analyze large datasets to identify trends, patterns, and opportunities for cost savings, process improvements, and risk mitigation.
• Lead data governance initiatives to ensure data accuracy, consistency, and security across all BI platforms.
• Mentor junior BI engineers and contribute to the development of best practices for data visualization and analytics.
• Stay updated on emerging BI technologies and recommend innovative solutions to enhance supply chain analytics capabilities.

Skills & Experience

• 5+ years of experience in BI engineering, with a focus on supply chain analytics in a manufacturing environment.
• Proficiency in BI tools such as Tableau, Power BI, & SQL.
• Strong expertise in SQL, data modeling, and ETL tools
• Experience working with ERP systems and supply chain management software.
• Solid understanding of supply chain processes and KPIs.
• Strong problem-solving skills and the ability to work with complex datasets to generate actionable insights.
• Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.
• Ability to work in a hybrid environment and commute to our Chicago office as required.
• Right to work in the U.S.