1088 - Supply Chain Analyst

About Us

Hoonigan serves the automotive enthusiast community through engaging content and a broad range of vehicle enhancements from brands like Fuel Off-Road, American Racing, KMC, Rotiform, and Black Rhino. Our distribution centers in North America, Australia, and Europe support more than 30,000 retailers along with a growing e-commerce presence, giving enthusiasts reliable access to wheels, suspension, lighting, and accessories. Our experience in automotive culture guides how we operate and help us stay connected to what enthusiasts care about as the industry evolves. With one of the strongest product portfolios in the industry and a global network behind it, we're focused on delivering products and experiences that set the standard for enthusiasts worldwide.

About The Role

We are seeking a Supply Chain Data Analyst who combines strong analytical capability with hands-on workflow automation skills. This role will translate raw supply chain, procurement, inventory, and logistics data into actionable insights, while also designing and building automated tools — using AI, Python, and Excel/VBA — that eliminate manual, repetitive reporting work across the organization. The ideal candidate is equally comfortable interpreting data and engineering the pipelines and macros that deliver it.

Responsibilities

• Data Analysis: Analyze supply chain data (demand, inventory, procurement, logistics, supplier performance) to identify trends, risks, and cost-saving opportunities.
• Reporting: Build and maintain dashboards and recurring reports (e.g., in Alteryx, Excel, Power BI, or Tableau) for planning, procurement, and operations stakeholders.
• Automation Development: automate data extraction, cleaning, consolidation, and distribution across ERP, WMS, and spreadsheet-based systems.
• Process Improvement: Identify manual, time-consuming workflows and apply AI tools streamline or eliminate them.
• Data Integration: Connect and reconcile data across ERP (e.g., SAP, Oracle), TMS/WMS, and spreadsheet sources into unified, reliable datasets.
• SIOP/Forecasting/Inventory Support: Support SIOP/forecasting, inventory optimization, and supply chain dashboard with clean, automated data feeds.
• Documentation: Maintain clear documentation for scripts, macros, and automated workflows so they are auditable and maintainable by others.
• Cross-Functional Collaboration: Work with procurement, planning, logistics, and IT teams to gather requirements and deploy solutions that fit real business needs.

Qualifications

• Bachelor's degree in supply chain management, Business Analytics, Data Science, Industrial Engineering, or a related field.
• 2–5+ years of experience in a supply chain, operations, or business analyst role.
• Experience using AI/LLM APIs (e.g., OpenAI, Anthropic) to build custom automation or analysis tools.
• Proficiency in Python and Avercast for data manipulation and automation (e.g., pandas, openpyxl, requests).
• Strong Excel skills, including macros/VBA, pivot tables, Power Query, and complex formulas.
• Experience with Power BI, Tableau, or similar BI/visualization tools.
• Experience applying AI tools or scripting to automate reporting, data entry, or repetitive analytical tasks.
• Working knowledge of SQL for querying relational databases.
• Familiarity with ERP systems (SAP, Oracle, NetSuite, or similar) and supply chain data structures.
• Strong analytical mindset with the ability to translate data into clear, actionable recommendations.

Preferred/Nice-to-Have Skills

• Knowledge of inventory optimization, demand forecasting, or logistics network design.
• APICS/ASCM certification (CSCP, CPIM) or equivalent.

What Success Looks Like

• Manual reporting cycles are measurably reduced through automation (e.g., hours saved per week).
• Key supply chain metrics are available through self-updating dashboards rather than manual pulls.
• Stakeholders trust the data because automated pipelines are accurate, documented, and repeatable.
• Validation is built into workflows and automation.
• New automation opportunities are proactively identified and delivered, not just requested.

Tools & Technologies

Python, Avercast, Excel (advanced formulas, Power Query, macros), SQL, ERP systems, Power BI / Tableau, and AI-assisted automation tools

Pay

Starting Annual Salary Range $85,000 - $95,000 USD