Okay, I've searched for Quality Assurance Data Administrator roles in Lebanon, TN for remote positions, requiring 2-4 years of experience, and a minimum of an associate degree, with an emphasis on strong Microsoft Excel skills. I have found 16 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Quality Assurance Data Administrator role is fundamentally focused on ensuring the integrity, accuracy, and standardization of the Master Consignee List (MCL) for regulatory reporting and market actions. The primary responsibilities involve reconciling discrepancies in data across multiple ERP systems, particularly Microsoft Dynamics 365, to support compliance with regulatory bodies like the FDA and Health Canada. This role demands meticulous attention to detail, as the candidate will need to manage large datasets, resolve data integrity issues, and standardize customer information for consistency. Crucially, while technical skills in data management and advanced Excel functions are essential, the underlying expectation is to facilitate smooth communication between cross-functional teams, requiring excellent collaboration and problem-solving abilities. Success in this role within the first 6-12 months would involve establishing reliable processes for data reconciliation, demonstrating a clear understanding of regulatory requirements, and effectively managing data flows to prevent future discrepancies.

Company Analysis:

Lensa operates within the dynamic tech landscape focused on transforming the recruitment process using innovative machine learning technology. As a leader among career platforms, it emphasizes a people-first approach, which aligns well with its commitment to reducing the complexities involved in job searching. This culture of innovation and user-centric focus suggests a fast-paced work environment where adaptability and a proactive attitude are highly valued. The Quality Assurance Data Administrator will play a pivotal role in maintaining the integrity of data that supports the organization’s regulatory compliance efforts—an essential function within a tech company that prioritizes accuracy and transparency. The position appears to have significant visibility given its liaison role among various departments (QA/RC, IT, Sales), indicating that the individual in this role may have opportunities to influence key operational decisions. This strategic hire is important not just for compliance but also for enhancing Lensa’s overall data management capabilities, thereby reflecting the company's growth objectives and commitment to excellence in service delivery.

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

• Tell me about a time when you had to resolve a significant data discrepancy. How did you approach it?
• Describe an experience where you collaborated with cross-functional teams to address a data issue. What was your role?
• Can you provide an example of a complex dataset you managed? What tools did you use, and what challenges did you face?
• How do you prioritize tasks when managing multiple data-related projects with tight deadlines?
• What steps would you take to ensure compliance with regulatory bodies when managing the Master Consignee List?
• How would you approach integrating new data into the existing Master Consignee List in D365?
• Imagine you discover a critical error in the MCL right before a regulatory report is due. What steps would you take to address it?
• Suppose a cross-functional team is experiencing challenges due to data inconsistencies. How would you facilitate a resolution?
• Why are you interested in working at Lensa, and how do you think your experiences align with our mission?
• How do you see the role of a Quality Assurance Data Administrator evolving with advancements in data technology?
• What aspects of our company's culture resonate with you, and how do you envision contributing to this environment?
• What questions do you have about our team structure and how this role interacts with other departments?
• Can you share your thoughts on how data governance impacts decision-making within an organization?
• What strategies do you employ to stay current with regulatory requirements in data management?
• How do you handle feedback from team members about data processes that you are managing?