Supply Chain Analytics Engineer

As a Supply Chain Analytics Engineer at Redwood Materials, you'll be developing predictive models for production planning and inventory optimization. Your role will involve building data pipelines, creating dashboards to track supply chain KPIs, and applying machine learning techniques to identify and eliminate inefficiencies within the supply chain, thereby ensuring smooth operations and cost-efficiency.

To qualify for the Supply Chain Analytics Engineer role at Redwood Materials, you should have at least 3 years of experience in data science, analytics, or supply chain optimization. Strong programming skills in Python and SQL are essential, along with familiarity with forecasting, optimization techniques, and visualization tools like Tableau or Power BI. A solid understanding of ERP systems and supply chain processes is also highly valued.

A Supply Chain Analytics Engineer at Redwood Materials plays a crucial role in driving sustainability by optimizing material flows and improving the efficiency of the supply chain. By utilizing data analysis and machine learning, you'll help identify sustainable materials and processes, contributing directly to our goal of creating a circular supply chain for batteries and clean energy products.

In your role as a Supply Chain Analytics Engineer at Redwood Materials, collaboration is key. You'll work closely with various cross-functional teams, including production, logistics, and engineering, to align your data insights with business needs. This teamwork will enhance your understanding of end-to-end supply chain processes and improve overall workflows.

As a Supply Chain Analytics Engineer at Redwood Materials, you will be involved in a diverse array of projects, including developing innovative predictive models, streamlining production planning processes, integrating analytics into ERP systems, and generating actionable insights from supplier and process data to enhance decision-making across the organization.

Discuss your hands-on experience with predictive modeling in detail—mention specific projects where you developed models for forecasting demand or optimizing inventory. Be sure to connect this experience to how it can enhance decision-making processes at Redwood Materials.

Explain your systematic approach to identifying and correcting data discrepancies. Highlight tools or methods you've used in the past, and stress the importance of data integrity in making informed supply chain decisions.

Be prepared to discuss specific machine learning techniques such as regression analysis, classification, or clustering that you've applied to solve supply chain problems. Mention any successful outcomes from these methods to demonstrate their impact.

Provide a clear example where your analytical work led to quantifiable cost savings. Outline the steps taken during the analysis, the data used, and how your findings were implemented. This showcases your value as a Supply Chain Analytics Engineer.

Discuss your time management skills and prioritize tasks based on urgency and impact. Give examples of tools or methodologies you use to keep projects on track, especially in a dynamic environment like Redwood Materials.

Share your experiences using tools like Tableau or Power BI, detailing how they helped you convey complex data insights effectively. Highlight your focus on making data understandable for both technical and non-technical stakeholders.

Illustrate how you collaborate with cross-functional teams to understand their objectives and align your analytics work with those goals. Emphasize the importance of communication in delivering actionable insights.

Talk about common challenges such as data accuracy, integrating disparate systems or adapting to market changes. Provide concrete strategies you’ve employed to overcome these issues, demonstrating your problem-solving abilities.

Offer a brief case study of a data-driven decision where your insights significantly impacted supply chain efficiency. Focus on the analytical methods used and the positive outcomes achieved.

Share your alignment with Redwood Materials' mission of sustainability, detailing how your goals as a professional complement the company’s vision. Highlight your enthusiasm for contributing to innovative solutions in the electric vehicle supply chain.