At L.L.Bean, we believe the outdoors brings out the best in all of us. We are committed to fostering a culture of belonging and creating safe, inclusive spaces where everyone feels welcome—both here and Outside. We value individual differences and are dedicated to maintaining an inclusive work environment where everyone can bring the best of their experience and talents and truly thrive.
L.L.Bean is seeking a Fulfillment Systems & Data Analyst to join our team in Freeport, Maine.
This position serves as a technical and analytical resource while developing expertise in fulfillment systems, databases, reporting platforms, and application development.
Responsible for building, supporting, and continuously improving the systems, databases, reporting, and analytical tools used to plan, schedule, monitor, and execute Fulfillment operations. Translates business requirements into practical solutions that improve operational visibility, decision-making, automation, and workforce effectiveness.
Partners closely with Planning, Scheduling, Operations, Learning, and IS to ensure leaders have accurate data, reliable systems, and scalable tools needed to support day-to-day execution and long-term business objectives.
Responsibilities
• Develop, maintain, and support reporting solutions, dashboards, and analytical tools used by the Fulfillment team to monitor performance, productivity, service levels, labor utilization, inventory, and operational execution.
• Build and maintain SQL queries, database objects, data pipelines, and automated processes used to collect, store, transform, and distribute operational data.
• Support workforce planning, scheduling, and operational systems by troubleshooting issues, researching root causes, and implementing corrective actions.
• Design, develop, maintain, and enhance web-based tools and forms that support operational processes, employee management, scheduling, hiring, training, and execution activities.
• Partner with operational leaders to understand business requirements and translate those requirements into practical system enhancements, automation opportunities, and reporting solutions.
• Perform moderately complex data analysis across multiple systems and data sources to identify trends, explain performance, and support operational decision-making.
• Maintain and improve data quality, data governance standards, and validation processes to ensure information is accurate, complete, and reliable.
• Support system integrations between fulfillment applications, planning systems, data warehouses, and enterpri