Data Analyst

This is a fully remote 6 month contract to hire role. It is expected to be 10-20% travel. 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, packaging, or industrial operations working with vendors - Expereince building forecasting models utilizing data - Strong analytical skills with proficiency in Excel, SQL, and data visualization tools (e.g., Power BI, Tableau) - Familiarity with SAP or CMMS platforms About the Role: You’ll 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’ll be a key contributor in analyzing telemetry, maintenance, and operational data for forklifts, reach trucks, and other industrial vehicles. You’ll be responsible for building a forecasting model utilizing data from Excel/Smartsheet (and API integrations) to support growth and operational planning. 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