We are looking for a Systems Analyst - WMS to support warehouse technology and process optimization for a Long-term Contract position based in Ephrata, Pennsylvania. This role focuses on improving distribution operations through system configuration, workflow analysis, performance measurement, and reporting. The ideal candidate will work closely with operations, IT, and warehouse teams to strengthen efficiency, visibility, and overall execution across the facility.
Responsibilities:
- Configure and support the Manhattan warehouse management platform to meet operational needs and maintain reliable system performance.
- Review current warehouse workflows, identify inefficiencies, and design process improvements that enhance throughput, accuracy, and service quality.
- Establish and maintain labor benchmarks, conduct time studies, and track production measures to support workforce planning and operational performance.
- Build reporting tools, dashboards, and scorecards in Power BI and related applications to provide actionable insight for business stakeholders.
- Collaborate with cross-functional partners across operations, information technology, and warehouse teams to develop and implement practical process improvements.
- Manage projects related to warehouse systems, operational applications, and material handling technologies from planning through execution.
- Assess emerging tools and technologies that may improve warehouse effectiveness and contribute to ongoing continuous improvement efforts.
- Bachelor’s degree in engineering or a closely related discipline.
- Hands-on experience with Manhattan WMS in a warehouse or distribution environment.
- Strong analytical and problem-solving ability with the capacity to evaluate processes and recommend effective solutions.
- Proficiency with Microsoft Office, Power BI, and warehouse systems used for operational reporting and analysis.
- Effective communication and collaboration skills for working with technical and operational teams.
- Experience developing labor standards, conducting time studies, or supporting continuous improvement initiatives is preferred.
- Background in logistics, distribution, supply chain, or manufacturing environments is preferred.
- Familiarity with operational technologies such as RF or voice-directed systems is preferred.