Okay, I've searched for Data Analyst roles in Atlanta, GA, specializing in supply chain or operations analytics, requiring SQL proficiency, with 1-3 years of experience, and full-time employment. I have found 125 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Analyst role within the supply chain context is fundamentally about transforming complex datasets into clear, actionable insights that drive operational decisions at Home Depot. The successful candidate will not only execute routine reporting but also create new dashboards and respond to ad-hoc data requests, indicating an environment where agility and problem-solving with data are crucial. The emphasis on collaboration with other analysts suggests cross-functional teamwork, likely involving coordination with supply chain, merchandising, and operations teams to ensure insights are relevant and timely. Technical skills in SQL and familiarity with database systems such as Teradata and Oracle are essential because this role requires mining and managing large datasets to uncover trends affecting inventory and supply chain performance. Additionally, soft skills like effective communication and storytelling with data are highlighted, indicating that the candidate must translate technical findings into compelling narratives that influence business stakeholders. The preference for experience in supply chain or related functions points to a strategic expectation: the analyst should understand domain-specific challenges to provide contextualized solutions. Autonomy levels seem moderate—working under mentorship but expected to deliver high-quality output independently. Key performance success would revolve around timely, accurate reporting, innovative dashboard creation, continuous learning of new technical skills, and the practical impact of insights on supply chain efficiencies within the first 6 to 12 months.

Company Analysis:

Lensa is a dynamic, technology-driven company operating at the intersection of data science, machine learning, and talent acquisition. As a growing innovator in career matching technology, Lensa values intellectual curiosity, adaptability, and a mission-oriented approach to simplifying job search and recruitment. The company culture likely prioritizes innovation fueled by data, collaborative problem-solving, and continuous learning—not surprising given its heavy reliance on complex algorithms and data scientists worldwide. For a data analyst in this environment, especially one supporting a major client like Home Depot, there's an implicit expectation to be both technically proficient and entrepreneurially minded, applying data insights to real-world problems with an eye for impact. Lensa’s stature as a platform with millions of users and its global technical team suggest a fast-paced environment with high standards for accuracy and quality. The role's flat reporting line and no direct reports imply a position as an individual contributor with potential visibility across teams and impact widened by their analytical outputs. Strategically, this position supports client success (Home Depot’s supply chain analytics) but also reflects Lensa’s broader commitment to applying data-driven story-telling—a key pillar in their business model. Consequently, excelling here demands not only mastering technical deliverables but embracing Lensa’s mission to humanize data to drive better outcomes for clients and candidates alike.

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

• Tell me about a time when you had to analyze a large, complex dataset to solve a business problem. How did you approach it and what was the outcome?
• Describe a situation where you had to convey a technical data insight to a non-technical audience. How did you ensure your message was clear and impactful?
• Can you share an experience when you collaborated with cross-functional teams to implement a data-driven solution? What challenges did you face and how did you overcome them?
• Give an example of how you managed competing priorities in delivering ad-hoc reporting requests alongside regular reporting duties.
• How would you design and build a dashboard for supply chain performance using SQL and visualization tools? What metrics would you prioritize and why?
• Explain your process for ensuring data quality and accuracy in your reporting deliverables.
• What experience do you have with database systems like Teradata or Oracle, and how have you leveraged that experience in previous roles?
• How do you stay current with evolving data analytics technologies, and what new skills have you recently acquired or plan to develop?
• Imagine you discover a significant anomaly in supply chain data that could impact inventory decisions but have limited time to investigate. How would you prioritize and address this issue?
• Suppose you receive conflicting requests from multiple stakeholders for different reports and dashboards. How do you handle this situation to meet everyone’s expectations?
• Why are you interested in working as a Data Analyst with Lensa supporting a client like Home Depot specifically?
• How do you see your personal values aligning with a company focused on leveraging machine learning and data science to improve job search experiences?
• What excites you most about working in a technology-driven, data-centric environment like Lensa’s, and how do you envision contributing to their mission?
• Can you describe ways you’ve leveraged storytelling with data to influence business decisions?
• What questions do you have about how the analytics team collaborates with supply chain operations at Home Depot, or how Lensa supports cross-functional client teams?