Senior Analyst, Supply Chain

Description

• Manage data integrity and analytics for on-time delivery (OTD) and cost-of-goods-sold (COGS) dashboards.
• Manage supplier allocation data based on schedules, pricing, volume agreements, and inventory levels.
• Support documentation and standardization through SOP development and Lean process improvement initiatives.
• Perform analysis of planned, shipped, and delivered orders for projects; identify and close operational gaps.
• Identify deviations between sales and purchase orders; provide exception reports and insights for planners and delivery managers.
• Collaborate with procurement, planning, and operations teams to drive supplier accountability and continuous improvement.
• Evaluate vendor performance, Fleet Center operations, and logistics partners to ensure alignment with quality, cost, and delivery goals.
• Issue proactive weekly project alerts highlighting delivery gaps, BOM variances, and schedule impacts.
• Develop KPI dashboards, cost-to-serve models, and supplier performance scorecards using Power BI and AI-driven tools.
• Conduct market, commodity, and logistics analysis to support sourcing and freight optimization strategies.
• Analyze and reconcile delivery schedules versus allocations in Anaplan or equivalent systems.
• Lead digitization and automation initiatives to improve forecasting accuracy and reduce manual effort.
• Support demand forecasting and inventory optimization initiatives, especially for long lead-time and capital-intensive components.
• Automate supply-demand analytics to support shipment prioritization during international transloading.

Requirements

• Working knowledge of Lean Six Sigma, S&OP processes, and cost-reduction initiatives.
• Proficiency in MS Excel, Access, Power BI, and ERP systems (SAP, Oracle SCM, or similar).
• Strong analytical, forecasting, and project management skills with high attention to detail.
• Demonstrated success using AI/ML tools or predictive analytics for supply chain forecasting.
• Excellent communication, stakeholder engagement, and cross-functional collaboration skills.
• Experience in solar, renewable energy, heavy equipment, semiconductor, or steel manufacturing industries.
• Exposure to Agile project management (JIRA, Confluence) and system development life cycle (SDLC) methodologies.
• Experience with data visualization, process automation, and reporting tools.
• 4–6 years of experience in supply chain analytics, planning, or manufacturing environments.
• Ability to thrive in a fast-paced, global, and startup-like environment.
• Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain Management, Business Administration, or related field.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance