Data Analyst - Material Handling Equipment
Stefanini
- Chicago, Illinois, United States
- Chicago, Illinois, United States
About
Category: Information Technology
Position Type: Direct Hire/ Placements
Positions Available: 2
Job Description Location: Preferred - Greater Chicago, IL; Greater Atlanta, GA; Greater Dallas, TX. Otherwise, proximity to a major airport is ideal.
Travel: Up to 25%
Capable of thriving on turning operational data into actionable insights?
Do you enjoy visiting sites and collaborating with local teams, vendors, and national OEMs to drive performance?
Can you build data-driven strategies that support long-term business goals, not just short-term fixes?
Are you able to create value through teamwork, transparency, and continuous improvement?
If so, our client is looking for an initiative-taking and detail-oriented Data Analyst who will focus on MHE and is ready to make an impact. Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network.
About the Role 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 be a key contributor 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
Job Requirements 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 and ability to work cross-functionally
Preferred
Familiarity with KPI development and SLA tracking
Ability to work cross-functionally and influence stakeholders
Experience with telemetry or IoT systems
Familiarity with SAP platforms
Understanding of MHE lifecycle, maintenance practices, and cost modeling
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Languages
- English
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