Data Analyst

About the Company

The organization promotes an environment built on honesty, integrity, and trust, with a strong emphasis on valuing employees and customers alike. It describes itself as a close-knit place where people are at the center of the business.

Maersk Logistics & Services USA, Inc. provides end-to-end warehousing and distribution support through a strategic network of storage facilities. Its operations cover receiving, storing, processing, and dispatching cargo, helping create flexibility and resilience across the supply chain. With integrated solutions and broad experience across industries and transportation modes, the company focuses on process excellence that helps save time and money.

Role Overview

The Data Analyst role supports warehouse operations by converting operational data into useful insights that improve productivity, quality, labor utilization, and customer service. The position works closely with operations leadership to spot trends, build reports, and support decisions in a fast-moving distribution setting.

The right candidate will bring strong analytical ability, communicate findings clearly to business leaders, and create reporting solutions that can scale with the operation.

Key Responsibilities

• Examine operational performance data to uncover trends, improvement opportunities, and underlying causes.
• Build, update, and manage dashboards, scorecards, and recurring reports using business intelligence tools.
• Track key operational measures such as productivity, quality, throughput, inventory accuracy, labor utilization, and service levels.
• Work with operations managers on labor planning, staffing analysis, and capacity forecasting.
• Perform on-demand analyses to support business initiatives and process improvements.
• Turn complex data into clear, practical recommendations for frontline and senior leaders.
• Check data accuracy and troubleshoot inconsistencies across different systems.
• Streamline recurring reporting by automating manual processes wherever possible.
• Support continuous improvement efforts through statistical analysis and performance tracking.
• Share insights and recommendations with cross-functional stakeholders.

Qualifications

• 1 to 3 years of experience in data analytics, business intelligence, supply chain, manufacturing, or distribution operations.
• Advanced Excel capability, including PivotTables, Power Query, Power Pivot, and complex formulas.
• Ability to write SQL queries for data extraction and analysis.
• Hands-on experience with Power BI, Tableau, or comparable business intelligence platforms.
• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to balance multiple priorities in a dynamic operational environment.

Benefits

• Medical coverage.
• Dental coverage.
• Vision coverage.
• 401(k) plan with company match.
• Employee Assistance Program.
• Paid time off.
• Flexible work schedules where feasible.
• Additional employee benefits.

Pay and Compensation

Expected starting salary range: $65,000 to $72,000 per year. The company notes that this range may be adjusted based on market conditions and location, and final compensation will be discussed directly with the selected candidate in accordance with applicable law.

Eligibility and Other Notes

Applicants must be authorized to work for any employer in the United States.

The employer states that it is committed to a diverse and inclusive workplace and considers qualified applicants regardless of protected characteristics, including race, color, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other legally protected status. Applicants with criminal histories will be considered in line with applicable legal requirements.

Support is available for candidates who need adjustments during the application or hiring process. Requests for special assistance or accommodation can be sent to [email protected].