Okay, I've searched for Statistical Forecast Analyst roles in Atlanta, GA that emphasize strong analytical skills, experience in demand forecasting, advanced computer skills, and a background in supply chain management. I found 27 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Statistical Forecast Analyst at Home Depot, as part of Lensa's recruitment efforts, is fundamentally tasked with developing and refining sales forecasts at the Store/SKU level. The core responsibility revolves around statistically driven analysis, requiring the candidate to establish models that accurately project future sales based on historical data and seasonal patterns. This role demands collaboration with Replenishment Analysts to address forecasting exceptions, where attention to detail and strong communication skills will be pivotal in resolving discrepancies. Success in this role is not solely about number crunching; it requires a proactive approach to identifying variances in forecasts and the ability to apply data insights into creating actionable business strategies. Candidates will face challenges like manipulating large datasets and navigating complex inventory dynamics, prompting a blend of analytical rigor and creative thinking to ensure effective stock replenishment and customer demand alignment. Performance within the first 6–12 months will likely be measured by the accuracy of forecasts developed and the successful implementation of insights that improve the forecasting processes.

Company Analysis:

Lensa operates in the digital recruitment space, innovating how job seekers connect with opportunities using machine learning and advanced algorithms. This position with Home Depot represents a strategic partnership with a retail giant focused on optimizing inventory management through data-driven decision-making. In this fast-paced environment, characterized by significant emphasis on technology and analytical precision, the culture likely values innovation, agility, and collaboration. The role of the Statistical Forecast Analyst fits into a larger framework where data analytics directly influences business outcomes, thus granting it a notable degree of visibility and impact within the organization. Working at Lensa, candidates would be part of a mission-driven team aiming to revolutionize job searches and improve talent acquisition efficiencies, leading to a higher sense of fulfillment in their contributions. This role aligns strategically with Lensa's overarching goal of providing superior career solutions, thus emphasizing the importance of candidates who can not only analyze data but also translate those analyses into real-world applications that enhance the company's value proposition.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you identified a significant variance in a forecast. How did you approach resolving it?
• Describe your experience with statistical forecasting. What techniques or models have you used, and what were the outcomes?
• Can you share an example of a time when you collaborated with team members from different functions? What did you learn from that experience?
• How would you handle a situation where your forecasts are consistently off-target? What steps would you take to investigate and rectify the issue?
• What methods do you use to ensure data accuracy when developing your forecasting models?
• Describe your proficiency with statistical software. Which tools have you found most effective for your analysis, and why?
• Imagine you discover that a seasonal product's demand is drastically different from previous years. How would you approach adjusting your forecasts?
• Suppose a new inventory system is implemented at the company, but it's affecting your forecasting accuracy. What would be your approach to adapt to this change?
• Why are you interested in working at Lensa, and how do you see this role contributing to your career aspirations?
• How do your values align with Lensa’s mission to innovate the job search process?
• What strategies would you employ to communicate complex data findings to stakeholders who may not be familiar with statistical concepts?
• How do you prioritize tasks when working on multiple forecasting models at the same time?
• What aspects of the retail industry do you think have the biggest impact on demand forecasting?
• If given the opportunity, what improvements would you suggest for the current forecasting process you would engage in?
• What questions do you have regarding the collaboration between your role and the other teams at Home Depot?