Jobs Companies L.L.Bean Fulfillment Systems & Data Analyst

Über diese Fulfillment Systems & Data Analyst Stelle bei L.L.Bean

L.L.Bean · Vor Ort · Freeport, ME

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 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.

Health & Safety Requirement

Every employee is responsible for contributing to a safe and healthy workplace. Employees are expected to be active participants in health and safety by following all safety policies and procedures, reporting unsafe conditions or at-risk behaviors to leadership, and conducting work in a safe manner. Those in a leadership role are also expected to model safe behaviors, evaluate risk, and ensure that risks are reduced to acceptable levels.

Education Level

Four-year bachelor’s degree preferred.

Years of Experience

3 years of relevant experience.

Development Approach

We are willing to develop and train candidates who demonstrate strong analytical ability, technical aptitude, intellectual curiosity, and a desire to learn.

Skills & Qualifications

Required

  Strong analytical and problem-solving skills.

  Demonstrated interest in technology, systems, data analysis, or software development.

• Demonstrated ability to communicate effectively with employees at all organizational levels

  Ability to learn new systems, technologies, and business processes quickly.

  Strong attention to detail and commitment to 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.

Preferred

  Basic knowledge of SQL or relational databases.

  Experience using Excel for data analysis.

  Exposure to reporting, analytics, or business intelligence tools.

  Familiarity with data visualization concepts and dashboard development.

  Exposure to application development, scripting, automation, or web technologies.

  Interest in supply chain, fulfillment, operations, or workforce planning.

Additional Requirements

  This position participates in support of business-critical systems and may require occasional planned weekend, off-shift, or on-call support.

  Position requires the ability to balance technical work with direct interaction and partnership with operational business teams.

  Due to the hands-on nature of supporting fulfillment operations, this position requires full-time on-site attendance and is not eligible for remote work arrangements.

L.L.Bean uses a market-based compensation approach. The anticipated starting base pay for this position is $65,800.00-$82,200.00. Individual compensation may vary based on factors such as a candidate’s experience, qualifications, education, geographic location, skills, competencies, and proficiency for the role.

 

 

If you care about the outdoors, joining L.L.Bean is a great way to feel good about what you do. Our benefits package makes a good thing even better, with programs and perks designed to support your health and financial goals. Plus, maintaining a healthy work-life balance and re-charging outside are all part of the plan.

If your experience looks a little different from what we've identified and you think you'd be great at this role, we'd love to learn more about you!   At L.L.Bean, we believe the outdoors brings out the best in all of us.  We strive to reflect this every day in our commitments to employees and partners and in our efforts to promote belonging.

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Wie sich dieses Gehalt für Data Analyst vergleicht

Diese Stelle zahlt $74,000/yrunter der üblichen Spanne für Data Analyst Stellen.

$59,715 dem Median $102,000 $160,000

Übliche Spanne $79,700–$129,313/yr, aus 955 vergleichbaren Data Analyst Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Analyst ansehen →

Über L.L.Bean

Over a century ago, company founder Leon Leonwood Bean set out to make a boot to keep hunters’ feet warm and dry. Today, we continue to follow the trail he blazed, adding new paths to help more people discover the outdoors, whether it’s the thrill of sea kayaking, the quiet of early morning fishing or the pleasure of walking in your local park . Of course, we remain true to L.L.’s core values, and are committed to quality, service, and putting the outside, inside everything we make. So join us, adventure awaits… 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 w

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