Okay, I've searched for remote Analytics Engineer roles requiring over 5 years of experience, focusing on eCommerce, needing strong SQL skills, and emphasizing sustainability. I have found 82 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

In the role of Analytics Engineer at (Re)vive, the core focus is on harnessing data to facilitate informed decision-making and optimize data usability across the organization. The primary responsibilities include developing and enhancing dbt code to elevate data modeling capabilities, creating insightful dashboards and reports, and effectively communicating technical requirements to various business stakeholders. This role demands a proactive approach to problem-solving, as the engineer will need to identify the data needs of business partners and innovate solutions that can enhance operational efficiency. Success in this position hinges on a candidate's ability to own data challenges from inception to execution, fostering an environment of continuous improvement in data capabilities. Candidates should expect to navigate through complexities such as dataset manipulation, understanding of eCommerce data dynamics, and embracing emerging technologies. Performance expectations likely include timely delivery of actionable insights and support for strategic initiatives, reflecting the company’s growth and sustainability goals.

Company Analysis:

(Re)vive stands as a leader in tackling the issues associated with unstockable and returned inventory in the fashion and retail sectors, positioning itself at the intersection of technology and sustainability. As a B-Corp certified entity, (Re)vive is not only focused on profitability but also on creating a positive impact in the fashion industry through its sustainable practices. The company culture appears to prioritize innovation and collaboration, suggesting a fast-paced environment where team members are encouraged to take risks and learn from both successes and setbacks. The Analytics Engineer role is integrated within a small, agile team that is vital to shaping the company's future direction by leveraging data insights. Given this context, candidates can anticipate having substantial visibility and influence, providing strategic data-driven support that aligns with the organization’s broader goals of maximizing inventory productivity and driving sustainability efforts.

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

• Tell me about a time when you identified a gap in data reporting that impacted decision making. How did you address it?
• Describe a project where you had to manipulate a large dataset. What steps did you take to ensure data integrity?
• Can you provide an example of a dashboard you created that significantly influenced a business decision?
• How do you approach learning new data tools and technologies? Can you share an example?
• How would you tackle a scenario where stakeholders have conflicting data needs?
• Imagine you are tasked with transforming raw data into a report for a business partner. What process would you follow?
• If you discovered that a data model you built was producing inaccurate results, how would you proceed?
• Why do you want to work at (Re)vive, and how do you feel your values align with our commitment to sustainability?
• What excites you most about the opportunity to impact the fashion industry's approach to sustainability through data?
• What is your experience with SQL and dbt? Can you walk us through a complex query you’ve developed?
• How do you prioritize your tasks when you have multiple data requests from different stakeholders?
• What strategies would you use to communicate complex technical information to non-technical stakeholders?
• How would you ensure that your data models are adaptable to accommodate the fast-paced changes in the eCommerce industry?
• What questions do you have about our current data capabilities and how the Analytics Engineer role can add value?