About Us:
As a company, we promote a culture of honesty and integrity, and value the trust it allows us to build with customers and employees alike. Our focus on our people is what sets us apart and keeps our customers coming back to work with us!
If you are seeking to be a part of a family, this is the place for you!
Maersk Logistics & Services USA, Inc. handles end-to-end warehousing and distribution logistics needs utilizing our strategic network of storage facilities. Our facilities are capable of receiving, storing, processing and dispatching cargo, so we can build flexibility and resilience into the supply chain process. Our integrated solutions allow us to be prepared for supply chain risks, so we can plan distribution to better achieve lead time and goals despite unexpected conditions. Our extensive experience, connections, and deep expertise across different sectors, industries, and transportation modes, means we can be counted on for process excellence that will save time and money.
Summary
The Data Analyst supports warehouse operations by transforming operational data into actionable insights that improve productivity, quality, labor utilization, and customer service. This role partners closely with operations leadership to identify trends, develop reporting, and drive data-informed decision-making across a fast-paced distribution environment.
The ideal candidate combines strong analytical skills with the ability to communicate findings to business leaders and develop scalable reporting solutions.
Key Responsibilities:
Analyze operational performance data to identify trends, opportunities, and root causes.
Design, develop, and maintain dashboards, scorecards, and recurring reports using business intelligence tools.
Monitor key operational metrics, including productivity, quality, throughput, inventory accuracy, labor utilization, and service performance
Partner with operations managers to support labor planning, staffing analysis, and capacity forecasting.
Conduct ad hoc analyses to support business initiatives and operational improvements.
Translate complex datasets into clear recommendations for frontline leadership and senior management.
Validate data accuracy and investigate discrepancies across multiple systems.
Automate recurring reporting processes to improve efficiency and reduce manual effort.
Support continuous improvement initiatives through statistical analysis and performance measurement.
Present findings and recommendations to cross-functional stakeholders.