Okay, I've searched for Data Analyst roles that allow remote work, specifically in the e-commerce industry, requiring over 5 years of experience, and focusing on expertise in SQL and data visualization tools. I have found 45 positions for you.

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Data Analyst role at (Re)vive is to empower the organization through data-driven insights that inform strategic decisions aimed at optimizing inventory productivity and sustainability. This involves not just gathering and presenting data but actively collaborating with business stakeholders to identify their needs and building effective reporting tools. Main responsibilities include creating dashboards and visualizations in Metabase, working closely with cross-functional teams, and enhancing the core data model, suggesting a role that demands both technical and interpersonal skills. Key skills include fluency in SQL and experience with data manipulation—indispensable for analyzing large datasets, as well as familiarity with dbt for data transformation, which indicates a technical competency aligned with building a robust reporting infrastructure. Success in this role likely hinges on the ability to navigate ambiguity and proactively address business challenges, effectively acting as the bridge between analytical capabilities and business strategy. Within the first 6–12 months, performance expectations could focus on the effectiveness of reports and the adoption of new analytical tools, offering visible improvements in business operations and decision-making processes.

Company Analysis:

(Re)vive occupies a crucial position within the fashion and retail industry by tackling the significant challenges of unstockable and returned inventory, thereby promoting sustainability through data-enhanced solutions. As a B-Corp certified entity, (Re)vive not only emphasizes profitability for brands but also aligns its operations with sustainable practices, reflecting a strong commitment to ethical business principles. The company culture appears to be innovation-driven and fast-paced, valuing adaptability and proactive problem-solving—elements that are vital for someone in a burgeoning data role. As part of a small, growing team, the Data Analyst would enjoy considerable visibility and engagement with leadership, indicating a dynamic environment ripe for professional growth. In terms of strategic alignment, this role appears to be integral to the company's mission of transforming how brands manage inventory, making it a critical hire as (Re)vive continues to expand its technological and analytical capabilities to scale operations effectively.

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

• Tell me about a time when you had to work closely with a cross-functional team to deliver a data-driven solution. What challenges did you face and how did you overcome them?
• Describe a situation where you built a dashboard that significantly impacted decision-making. What was your process for identifying the key metrics to include?
• Can you provide an example of a complex data problem you solved? What steps did you take to analyze the data and propose a solution?
• How have you handled conflicting requirements from different stakeholders in the past? What strategies did you use to prioritize and meet diverse needs?
• How would you approach creating a report that uncovers insights about our inventory management practices? What data points would you consider?
• Discuss your experience with SQL. Could you demonstrate how you would write a query to analyze sales data to identify trends in return rates?
• Describe your familiarity with dbt. How would you utilize it in transforming and modeling data for reporting purposes?
• Imagine you are tasked with building a new reporting feature that stakeholders aren’t sure they need yet. How would you gather the necessary requirements and get buy-in?
• You notice a significant anomaly in the sales data reported. How would you go about investigating this issue? What steps would you take?
• Why are you interested in applying at (Re)vive specifically, and how do you see your experience aligning with our mission?
• In your view, how can data analytics support sustainability initiatives in the fashion industry, particularly in the context of (Re)vive's goals?
• What aspects of (Re)vive’s culture do you find most appealing, and how do you think they would influence your work as a Data Analyst?
• Given our focus on innovation, what new analytical tools or technologies would you be excited to explore if this role were offered to you?
• What questions do you have about the data challenges we are facing at (Re)vive or how this role fits into our broader company strategy?
• What are some of the key considerations you think about when developing scalable data analytics solutions?