Data Analyst (Manufacturing/Material Handling Equipment)

About the job

Must be authorized to work in the U.S. without sponsorship; no C2C arrangements

*Contract to Hire Opportunity

*Remote with travel to onsite locations (25-50%)

We are looking for an initiative-taking and detail-oriented Data Analyst who is ready to make an impact—not just through analytics, but by helping shape the future of mobile equipment strategy across a network.

About the Role

This is a remote (Contract to Hire) role with up to 50% travel required (typically Tuesday through Thursday) to support on-site collaboration and data validation.

You will be part of a cost-focused team that leverages data to drive sustainable savings, optimize fleet performance, and support full-cycle asset management.

As a Data Analyst, you will play a key role in analyzing telemetry, maintenance, and operational data for forklifts, reach trucks, and other industrial vehicles. Your insights will help guide strategic decisions around equipment utilization, refresh planning, and vendor performance.

What You Will Do

• Analyze fleet performance data to identify trends, inefficiencies, and cost-saving opportunities
• Support implementation and optimization of telemetry systems across sites
• Develop dashboards and reporting tools to monitor MHE utilization, uptime, and maintenance metrics
• Collaborate with Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives
• Assist in building business cases for equipment refreshes and technology upgrades
• Provide insights into direct and indirect operating costs, including hardware, subscriptions, and service contracts
• Participate in quarterly and annual reviews with data-driven recommendations
• Travel to sites as needed to support data validation, stakeholder engagement, and project alignment

Qualifications

Required:

• Bachelor’s degree in Data Analytics, Supply Chain, Engineering, or related field
• 3–5 years of experience in data analysis, preferably in logistics, fleet, or industrial operations
• Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau)
• Excellent communication skills with the ability to translate complex data into clear insights
• Collaborative mindset with the ability to work cross-functionally

Preferred:

• Familiarity with KPI development and SLA tracking
• Ability to influence stakeholders across functions
• Experience with telemetry or IoT systems
• Familiarity with SAP platforms
• Understanding of MHE lifecycle, maintenance practices, and cost modeling

Must be authorized to work in the U.S. without sponsorship; no C2C arrangements

Featured benefits

Medical insurance, Vision insurance, Dental insurance, 401(k)

Requirements added by the job poster

• No need for visa sponsorship