Okay, I've searched for Product Data Analyst roles in Grand Rapids, MI, specifically for contract positions, requiring experience in data management and SAP, full-time hours, and offering 401(k) benefits. I found 12 suitable positions for you.

Sure. Here's the analysis:

Job Analysis:

The Product Data Analyst role at Lensa is fundamentally geared towards enhancing product data integrity and supporting the broader product lifecycle management efforts. The core responsibility involves facilitating the creation and maintenance of product data models, which requires not only technical skills but also collaboration across various departments like Marketing and Engineering. This means a candidate will need to navigate complex cross-functional interactions and showcase effective communication. The emphasis on detail orientation speaks to the necessity of precision in data handling, particularly as it relates to SAP systems and other technical documentation. As a candidate, preparing to handle the demands of rapid changes while ensuring data accuracy will be key to thriving in this environment. Success will likely be defined by how well one can streamline product data flows, optimize processes, and ultimately contribute to improved profitability and customer satisfaction within the overarching goals of the company.

Company Analysis:

Lensa operates in the technology-driven recruitment space, using machine learning to simplify and personalize the job search experience. In this capacity, it positions itself as a disruptor in a typically crowded field. This likely means that the company values innovation, adaptability, and a strong customer-centric approach. Candidates will benefit from a workplace culture that fosters collaboration and rewards data-driven decisions. Given that Lensa supports a high volume of candidates while also catering to organizational needs, the Product Data Analyst role will find itself pivotal in ensuring data consistency and operational efficiency across teams. The evolving nature of the organization suggests that individuals in this role will have opportunities to impact significant product decisions and customer engagements while collaborating closely with leadership teams, enhancing both visibility and influence within company strategies.

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

• Can you describe a time when you successfully managed a detailed project with many moving parts? What was your approach?
• Tell me about a situation where you had to communicate complex data findings to a non-technical audience. How did you ensure clarity?
• Share an experience where you encountered data integrity issues. How did you identify and rectify the problem?
• How would you prioritize requests from multiple departments when it comes to product data management?
• What tools have you used to analyze data effectively, and how do you ensure accuracy in that data?
• How would you go about validating product data representation in an SAP database?
• Imagine you notice a persistent discrepancy between the product data and the publications. How would you address it?
• If asked to improve a product development process based on your data analysis, what steps would you take?
• Why are you interested in this Product Data Analyst role at Lensa, and how do you see your skills aligning with our mission?
• What about Lensa's use of machine learning in recruitment excites you the most?
• Can you explain how your previous roles have prepared you to work in a fast-paced and innovative environment like Lensa?
• What questions do you have about the role or the team dynamics in the Product Data Analyst position?
• How does our company's focus on job seeker experience align with your personal values and career aspirations?