About the Company:
Truck Equipment is a key division of ATW (American Trailer World), backed by Bain Capital. Formed through the combination of industry-leading brands, Truck Equipment includes CM Truck Beds and Dakota Bodies, both recognized for their quality, durability, and innovation in the work truck industry.
CM Truck Beds is a market leader in truck beds and hauling platforms, serving a broad network of independent dealers and end users across North America. Dakota Bodies specializes in service bodies and custom upfit solutions, delivering purpose-built configurations for commercial trades, fleet operators, and municipal customers who rely on dependable, job-ready equipment.
Together, these businesses form a growing platform within ATW focused on delivering high-performance work truck solutions through strong channel partnerships and a deep understanding of end-user applications. As ATW continues its vision of increasing people’s capacity for work and productivity, Truck Equipment is investing in data, technology, and process improvements to drive continued growth and strengthen its competitive position in the market.
Position Overview: This Data Analyst role supports Dakota Bodies and CM Truck Beds within Truck Equipment. The position partners with Sales, Operations, Supply Chain, and Finance to drive data-driven decisions, improve forecasting, and enhance business performance. This role is critical to supporting the SIOP process and scaling analytics capabilities.
Key Responsibilities: • Build and maintain Power BI dashboards and reports • Analyze sales, inventory, production, and forecast data • Support SIOP (Sales, Inventory & Operations Planning) • Develop data models from ERP and business systems • Identify trends, risks, and cost-saving opportunities
• Automate reporting and reduce manual processes • Ensure data accuracy through QA and validation • Present insights to business stakeholders
Core Requirements: • Power BI fundamentals (DAX, modeling, visualization) • SQL curiosity / eager to explore and develop • Advanced Excel skills (Lookups, Pivots, Power Query) • Strong analytical and problem-solving abilities • Strong communication and attention to detail • Microsoft 365 Suite Experience
Preferred Qualifications: • Manufacturing or distribution experience • SIOP / supply chain analytics exposure • Forecasting or demand planning experience • Python or R (nice to have) • Cross-functional collaboration experience
Experience & Education:
• 1–3+ years in an analytical role • Bachelor’s Degree in Analytics, Finance, Economics, or related field
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