Labor Analytics & Process Improvement Lead

NFI; Rincon (GA); On-site; USD 65,000 - 90,000; Full time

Job summary

NFI is seeking a Labor Management Analyst to generate and analyze LMS reports, support facility leadership, and improve labor utilization in a distributed warehouse environment. The role focuses on analyzing labor performance, developing analytics, and driving data-driven decisions for improved productivity.

You will lead LMS-related activities, train supervisors, resolve Level 1 issues, and ensure accurate timekeeping and SOP updates across the site.

Qualifications

• Associate’s degree in business administration, logistics, or related field Bachelor’s degree in business administration, finance, engineering, information technology, logistics preferred.
• Three to five years of related working knowledge in distribution operations and/or 3PL experience
• Past experience working in an LMS environment is preferred
• Warehouse Management Systems (WMS) experience (Manhattan WMOS preferred)
• Basic understanding of SQL preferred
• MS Office – Excel, Word, PowerPoint, Visio, Project, Access.
• Available off-hours as necessary to support the 24/7 facility
• Ability to sit, stand and walk for up to 8 hours per day
• Ability to work in environments with variable noise levels, lighting conditions and temperature variations and ability to access all areas of building without limitations.
• Ability to work collaboratively and seamlessly as part of a cross functional team
• Results and detail oriented with excellent analytical and decision making ability
• Process driven with the ability to recommend and implement changes to improve processes and increase efficiency
• Ability to lead and champion change
• Strong interpersonal skills and ability to communicate with the floor associates, facility leadership & corporate LMS Team
• Ability to organize and manage multiple priorities.
• Ability to proactively and independently resolve and answer routine problems and questions

Responsibilities

• Will lead and provide oversight and support the facility and any and all of the facilities dealings within the LMS, specifically Manhattan software.
• Analyzes and interprets labor performance on an ongoing basis then effectively communicates findings and makes appropriate recommendations to site leadership and management.
• Understand business specific reports and develop analytics to support labor execution and accountability.
• Assists in delivering labor process improvement initiatives, adhering to schedule, budget, scope, and quality requirements.
• Run, review, and distribute LMS reporting for site leadership.
• Work with the Supervisors to ensure they are performing daily standards observations as well as baseline.
• Reconcile previous day’s reports which identify errors and communicate to Supervisors for data correction.
• Ensure that the supervisors are correctly entering beginning/ending shifts and indirect time.
• Train new Supervisors on LMS functionality and teach the benefits of the LMS visibility to local teams as needed.
• Solve any Level 1 Help Desk issues for local Operations teams.
• Activate and deactivate users as necessary from LMS.
• Review associates’ time clock activities to ensure accuracy
• Update site Standard Operation Procedures (SOP) in area of labor functionality as needed

Skills

LMS experience

Interpersonal skills

Analytical and decision making ability

Education

Associate’s degree in business administration, logistics, or related field Bachelor’s degree in business administration, finance, engineering, information technology, logistics preferred

Three to five years of related working knowledge in distribution operations and/or 3PL experience

Tools

Manhattan WMOS

MS Office – Excel, Word, PowerPoint, Visio, Project, Access

Job description

NFI is seeking a Labor Management Analyst to generate and analyze LMS reports, support facility leadership, and improve labor utilization in a distributed warehouse environment. The role focuses on analyzing labor performance, developing analytics, and driving data-driven decisions for improved productivity.

You will lead LMS-related activities, train supervisors, resolve Level 1 issues, and ensure accurate timekeeping and SOP updates across the site.