Okay, I've searched for Manager Data Analytics roles in the United States that require leadership experience, expertise in SQL and data visualization, within the education industry, and offering a salary of at least $140,000. I have found 45 positions for you.

Sure. Here's the analysis:

Job Analysis:

The role of Manager, Data Analytics & Insights at GED Testing Service is pivotal in driving data-driven decisions impacting learners' lives and the organization itself. The core focus is to leverage data analytics to provide actionable insights that align with the strategic goals of the company. This position combines leadership responsibilities with hands-on analytics, requiring the candidate to synthesize complex data into clear narratives for senior leadership. The responsibilities involve cross-functional coordination, which involves translating data into actionable insights across diverse departments such as Product, Tech, and Marketing. One of the biggest challenges in this role will be managing the team while ensuring that analytic efforts are aligned with business needs and operational priorities. A successful candidate will demonstrate strategic thinking, leveraging their technical fluency to enhance data governance and drive the implementation of AI-driven tools. Key indicators of success in the first year would likely include establishing scalable data foundations and successfully leading the annual OKR development process for the organization.

Company Analysis:

GED Testing Service operates in the education assessment industry, standing out as a reliable provider of high-stakes testing services. Their established reputation and joint venture affiliation with the American Council on Education and Pearson enhance their credibility in the market. The company values a people-first culture, evident in their commitment to learning, curiosity, and psychological safety. This cultural underpinning suggests that the environment is likely collaborative and supportive, aligning well with the expectations for leadership and mentorship in the Manager role. Given that this position reports directly to the President and is part of the leadership team, it carries significant visibility and influence which will be essential for driving strategic initiatives. Furthermore, this role aligns directly with GED’s mission to create impactful pathways to education, hinting at the strategic importance of insights leveraged through analytics in achieving their overarching goals.

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

• Tell me about a time when you had to derive insights from complex data to influence a key business decision.
• Can you describe a challenging situation where you had to lead a team through a data-driven project? What was the outcome?
• Discuss how you have fostered a culture of continuous learning and curiosity within your previous teams.
• How do you prioritize data projects when there are competing demands from different departments?
• What approach do you take when developing compelling narratives using data for stakeholders?
• How would you ensure the analytics team aligns with the organization’s primary business goals in your first 6 months?
• Describe your experience with SQL and BigQuery. How have you applied these skills in past roles?
• What is your methodology for building ML models that align with business objectives?
• Imagine you need to present data insights to a senior leadership team that may not have a technical background. How would you adjust your communication style?
• What strategies would you implement to ensure high-quality and accessible data governance?
• Why are you interested in working at GED Testing Service specifically, and how do you see your experience aligning with our mission?
• Discuss a specific example of how you've interacted with cross-functional teams to foster collaboration. What was the situation, and how did you navigate it?
• What do you see as the main challenges facing data analytics in the education sector today, and how would you address them as the Manager?
• What questions do you have around the company's approach to integrating AI solutions into their analytics strategies?
• How do you keep up with industry trends and innovations in data analytics that would benefit our organization?