Senior Demand Planning Analyst

As a Senior Demand Planning Analyst at Weee!, you'll be responsible for forecasting demand for special events and new product launches while working closely with various teams across the organization. Key responsibilities include improving forecast accuracy, analyzing customer demand, coordinating inventory strategies, and identifying growth opportunities. Your role will also involve mitigating forecast risks and maintaining optimal inventory levels to ensure customer satisfaction.

To qualify for the Senior Demand Planning Analyst role at Weee!, candidates should possess a Bachelor’s degree in business, supply chain, or a related field, with a Master’s degree preferred. A minimum of 5+ years of experience in demand planning and analytics is essential, along with strong mathematical skills and proficiency in SQL and Advanced Excel. Familiarity with statistical forecasting methods and inventory management practices are also important.

At Weee!, personal growth is a priority, especially for our Senior Demand Planning Analysts. We provide a comprehensive health insurance package, a 401k plan, and other benefits that support work-life balance, including vacation time and monthly stipends. Additionally, being part of a venture-backed startup at a high growth stage offers invaluable opportunities for career advancement and skill enhancement.

The Senior Demand Planning Analyst at Weee! plays a pivotal role in inventory management. By analyzing sales performance and customer trends, you will be responsible for ensuring that our products are available when customers want them. This is achieved through effective forecast modeling and collaboration with buyers and category managers. Your expertise will directly influence inventory strategies and operational success.

As a Senior Demand Planning Analyst at Weee!, expect a collaborative and fast-paced work environment. You will interact with a variety of teams and stakeholders, allowing for diverse input on inventory management strategies. The culture is driven by innovation and teamwork, encouraging you to share ideas and influence decision-making processes actively.

When answering this question, focus on specific forecasting models you have used and the outcomes they produced. Discuss your familiarity with any AI or demand forecasting tools and emphasize your analytical approach to refining these forecasts based on historical sales data.

It's important to stress your communication and relationship-building skills. Explain how you proactively engage with other teams, such as marketing, finance, and inventory management, to align strategies and ensure that everyone is on the same page regarding demand forecasts and inventory levels.

Describe your analytical approach, including the specific metrics you track for forecasting accuracy and inventory levels. Highlight your use of statistical analysis tools and how you develop action plans based on identified risks to ensure optimal inventory management.

Share a specific example of a project or initiative where your analysis significantly impacted inventory decisions. Focus on the data you used, the recommendations you made, and the positive results that followed, such as reduced waste or improved customer satisfaction.

In your response, outline specific strategies you've implemented, such as utilizing advanced statistical models, incorporating recent data trends, and adapting forecasts based on seasonal variations. Mention any collaboration with data science teams if relevant.

Be specific about the software and tools you've used, such as SQL databases, Excel, or specialized demand planning software. Explain how these tools help you in forecasting, data analysis, and reporting, showcasing your technical proficiency.

Discuss your commitment to continuous learning, whether through online courses, webinars, or industry publications. Mention how you apply this knowledge to stay ahead of demand fluctuations and enhance your forecasting techniques.

When answering, describe the event, the demand forecasting process you led, and how you coordinated with various teams to execute the plan. Highlight any metrics that demonstrate the success of your planning efforts, such as increased sales or customer feedback.

Explain the steps you take when discrepancies arise, such as conducting root cause analyses and modifying future forecasts based on insights gained. Illustrate your ability to troubleshoot issues effectively and implement adjustments that enhance forecast accuracy.

Highlight the importance of clear communication with cross-functional teams in the demand planning cycle. Share examples of how effective communication has helped you align strategies and achieve shared goals within your team and across the organization.