Yard Data Analyst

Position Summary The McCarthy National Yard team is looking for a Yard Data Senior Analyst to drive day-to-day reporting and deliver actionable insights across regional yard operations. This role is perfect for someone who enjoys diving into dashboards, solving real-world equipment problems with data, and occasionally running “what-if” simulations to guide smart decisions. You’ll work directly with McCarthy’s National Yard Director and Emerging Tech Advisor, helping keep our data clean, our dashboards sharp, and our decisions well-informed. You’ll also support early AI initiatives aimed at reducing equipment downtime, optimizing fleet deployment, and automating repetitive analysis tasks. Key Responsibilities Initial Projects • Build dashboards for project-facing KPIs like yard spend, off-rent deltas, and project profit at yard. • Analyze telematics and Yard Hub data to identify national utilization patterns. • Develop early-stage procurement forecasts based on usage gaps and regional demand trends. Operational Reporting & Dashboarding • Own and maintain Power BI dashboards for asset tracking, utilization, inventory health, and 28-day billing cycles. • Monitor and troubleshoot data refreshes and inconsistencies across Yard Hub and other sources. • Collaborate with IT and end-users to recommend improvements to Yard Hub functionality and ERP integrations. Ad-Hoc & Scenario-Based Analysis • Partner with the National Yard Director to answer if/then-style questions and short-turnaround analysis. • Use Excel, Power BI, and basic simulations to forecast impacts of equipment movements, procurement changes, or rental rates. • Present clear, action-ready summaries that help drive operational decisions. AI & Innovation Support • Explore AI-driven tools and lightweight scripting (e.g., Python or other analytics platforms) to identify trends and automate common data tasks. • Support basic predictive modeling (e.g., maintenance alerts, utilization forecasts) using AI tools, Python notebooks, or Excel simulations. • Help test and provide feedback on AI pilots in Yard Hub (Custom Enterprise Billing System). Data Stewardship & Taxonomy Management • Maintain clean and consistent categorization across Major Type > Minor Type > Cat Class structure. • Reconcile duplicates, mismatches, and legacy category issues across five regional entities. • Lead API-based data crosschecking across rental vendors with different taxonomies, building logic tables that normalize external category labels into the Yard Hub system taxonomy. Qualifications • 1–5 years in a data analyst, business intelligence, or operations analyst role • Proficiency with Power BI (DAX, Power Query, data modeling) and Excel • Basis understanding of coding languages and execution • Experience querying databases (SQL) and working with large datasets • Strong problem-solving skills and ability to turn messy data into clean answers • Clear communicator comfortable working with both technical teams and field operation • Experience in construction, logistics, or equipment-heavy industries preferred • Familiarity with inventory/asset tracking management systems preferred • Exposure to AI tools, statistical modeling, or simulation software pre • Basic Python (pandas/matplotlib) or R for data exploration and forecasting preferred McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.