Demand Planner

As a Demand Planner at Anduril Industries, your primary responsibilities will include developing accurate demand plans for our hardware products, collaborating closely with various business units like Finance, Supply Chain, and Engineering, and analyzing trends in data to drive informed operational decision-making. You'll also support strategic initiatives aimed at best practices in demand shaping and inventory optimization.

To qualify for the Demand Planner position at Anduril Industries, candidates should have a bachelor’s degree in a business or technical field, alongside at least 3 years of experience in supply chain planning or operations within a fast-paced manufacturing environment. Furthermore, proficiency in Excel, SQL, and knowledge of CRM and ERP systems, such as Salesforce and NetSuite, is essential.

Essential skills for a Demand Planner at Anduril Industries include strong analytical aptitude, the ability to interpret complex data sets to drive actionable insights, and excellent communication skills for engaging with cross-functional stakeholders. A self-driven attitude and proactive problem-solving capabilities will also serve you well in this dynamic role.

The Demand Planner role is crucial to Anduril Industries as it directly influences production efficiency and customer satisfaction. By accurately forecasting demand and optimizing supply chain processes, you ensure that we can deliver our innovative defense technologies on time, maintaining our competitive edge in the market.

The salary range for a Demand Planner position at Anduril Industries is between $100,000 and $150,000 USD. This range is based on various compensation factors, including work experience and qualifications. In addition to salary, you’ll be eligible for competitive equity grants and a comprehensive benefits package.

Certainly! When answering this question, focus on specific instances in which you utilized data analysis to forecast demand accurately. Provide examples of tools you've used, such as Excel or SQL databases, and explain how your contributions impacted the supply chain in your previous positions.

Demonstrating your problem-solving skills is key here. Share a specific example of a situation where you identified a discrepancy in demand predictions. Explain the steps you took to analyze the root cause, communicate findings, and implement solutions to mitigate future discrepancies.

When answering this question, talk about your preferred methodologies for data analysis, including any specific models you employ or software you use. Make sure to emphasize any experience you have with statistical forecasting or predictive analytics, which are pertinent in a Demand Planner role at Anduril Industries.

Collaboration is crucial in a role like this. Discuss your approach to working with teams such as Sales, Engineering, and Supply Chain. Highlight ways you ensure effective communication, resolve conflicts, and gather the necessary information for accurate demand forecasting.

When responding, mention your experience with key software tools used in demand planning, such as Salesforce, NetSuite, or Blue Yonder. Emphasize how you’ve utilized these tools to streamline processes and improve data management in your previous roles.

Provide a detailed story about a situation where your data analysis led to a significant decision. Discuss the data you analyzed, the stakeholders involved, and the outcomes of your decision to underline your ability to drive results based on insights.

This is an excellent opportunity to showcase your commitment to professional development. Share any specific industry publications, networking events, or training programs you participate in to keep your skills and knowledge up to date in demand planning.

Discuss relevant metrics such as accuracy, forecast bias, forecast error, and their implications for supply chain management. Stress how these metrics help you refine your forecasting processes and improve overall operational efficiency.

Detail an experience where you designed or implemented a novel solution to address a challenge in demand planning. Explain the problem, your thought process, and the successful outcome to highlight your innovative thinking.

Be honest about your comfort level, but also underscore your ability to present data insights confidently. Provide examples of previous presentations, the types of audiences, and how you engaged them to clarify complex information effectively.