Okay, I've searched for Lead Data Analyst roles in Woodcliff Lake, NJ, focusing on hybrid positions, requiring at least 6 years of experience in data analytics, and emphasizing skills in Amazon QuickSight and SQL. I have found 52 positions for you.

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Lead Data Analytics Engineer role at Infojini is to provide strategic oversight and technical leadership in migrating data analytics assets from Qlik Sense to Amazon QuickSight. This requires not just a technical background in data analytics but also a deep understanding of the business context and specific stakeholder needs. The candidate will be responsible for analyzing existing reports, ensuring data accuracy throughout the migration process, and optimizing new reports in QuickSight for better performance and usability. Factors such as creativity in problem-solving and the ability to collaborate effectively with diverse cross-functional teams are critical for success, as this role requires the candidate to identify opportunities for innovation while managing complex data workflows. Success in this role would look like a seamless migration process, the delivery of high-quality reports that improve decision-making capabilities, and the establishment of strong relationships with stakeholders, demonstrating the tangible value of data analytics in driving business outcomes.

Company Analysis:

Infojini stands at the intersection of technology and workforce solutions, recognized for its exceptional staffing services and a commitment to a people-first culture. Operating since 2006, the company has established itself as a trusted partner for large enterprises and government agencies, indicating a strong market position that could provide substantial opportunities for the Lead Data Analyst. With accolades such as the Grand Winner in SIA’s Best Staffing Firms and a consistent presence on the INC 5000 Fastest-Growing Companies list, Infojini likely fosters a high-performance culture that values innovation and quality. This fast-paced environment would require the candidate in this role to be adaptable and proactive, essential characteristics for navigating challenges in analytics projects. Given that the role involves significant collaboration across teams, the company’s emphasis on engagement and effective communication will be paramount. The strategic alignment of this position towards enhancing data analytics capabilities reflects Infojini’s larger goal of providing innovative solutions to clients, positioning the Lead Data Analyst as a crucial player in driving operational excellence and client success.

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

• Tell me about a time when you had to analyze complex data sets under tight deadlines. What steps did you take to ensure accuracy?
• Describe a situation where you had to influence stakeholders to implement a data-driven decision. How did you approach that?
• Can you provide an example of an innovative solution you developed in a previous role that improved data processes?
• What technical challenges did you face when transitioning from a previous analytics tool to a new one, and how did you overcome them?
• How would you approach migrating existing reports from Qlik Sense to Amazon QuickSight while ensuring data consistency?
• What strategies would you use to optimize dashboards for usability in Amazon QuickSight?
• Explain your experience with SQL data manipulation and how it applies to your role as a data analyst.
• Imagine you are working on a migration project, and you find discrepancies in the existing Qlik Sense reports compared to source data. How would you handle this?
• Why are you interested in the Lead Data Analyst role at Infojini, and how do you see your skills contributing to our mission?
• What excites you about the data analytics landscape, and how do you keep up with industry trends?
• What specific performance metrics would you prioritize for evaluating the success of the migrated reports?
• Can you share your experience with stakeholder engagement during a major data project? What lessons did you learn?
• If you were to look at our current use of data analytics, what opportunities for improvement would you suggest?
• What questions do you have about our current analytics tools and the role they play in our business strategy?
• How would you describe the ideal collaboration environment for a project like the one you’ll manage in this role?