Fulfillment Data & Systems Analyst — Operational Excellence

llbean; United States; On-site; USD 90,000 - 120,000; Full time

Job summary

L.L.Bean in Freeport, Maine, seeks a Fulfillment Systems & Data Analyst to join our team. This role blends systems, databases, reporting platforms, and application development to support fulfillment operations.

You will translate business requirements into practical solutions, build dashboards, pipelines, and tools, and partner with Planning, Scheduling, Operations, IS, and finance to drive visibility and workforce effectiveness.

Qualifications

• Strong analytical and problem-solving skills.
• Interest in technology, systems, data analysis, or software development.
• Ability to communicate effectively with employees at all levels.
• Ability to learn new systems, technologies, and processes quickly.
• Strong attention to detail and data accuracy.
• Excellent organizational and time-management skills.
• Ability to communicate technical concepts to non-technical audiences.
• Self-motivated, inquisitive, and eager to learn.
• Ability to work independently while also collaborating effectively within a team environment.

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 enterprise platforms.
• Develop and maintain documentation for systems, databases, applications, reports, interfaces, and troubleshooting procedures.
• Support modernization efforts by helping migrate legacy tools, reports, and databases to supported technologies and platforms.
• Provide end-user support and training for reporting tools, applications, and data resources.
• Participate in on-call support and incident resolution activities for critical systems and operational processes.
• Research new technologies, analytical techniques, automation opportunities, and best practices that improve operational effectiveness.
• Collaborate with cross-functional business partners including Operations, Planning, Learning, IS, Finance, Retail, Supply Chain, and external vendors.
• Perform additional analytical, technical, reporting, and systems-related projects as assigned.

Skills

Strong analytical & problem-solving

Communication across all levels

Adaptability / quick learner

Attention to detail

Organizational skills

Independent + collaborative

Self-motivated / inquisitive

Education

Four-year bachelor’s degree preferred

Tools

SQL

Excel

Job description

L.L.Bean in Freeport, Maine, seeks a Fulfillment Systems & Data Analyst to join our team. This role blends systems, databases, reporting platforms, and application development to support fulfillment operations.

You will translate business requirements into practical solutions, build dashboards, pipelines, and tools, and partner with Planning, Scheduling, Operations, IS, and finance to drive visibility and workforce effectiveness.