What are the three essential analytical skills mentioned by Google for data analysts?

The correct choice identifies essential analytical skills necessary for data analysts as Curiosity, Understanding context, and Data strategy.

Curiosity is crucial for data analysts because it drives them to ask the right questions and seek insights beyond surface-level observations. Analysts who possess curiosity are motivated to explore the data thoroughly, which leads to deeper insights and more effective problem-solving.

Understanding context is equally important since data analysts often work with datasets that must be interpreted within a specific framework or business environment. This context helps analysts to relate the data to real-world scenarios, ensuring that findings are relevant and actionable.

Data strategy involves knowing how to approach data collection, analysis, and delivery of insights. It encompasses understanding the overall goals of data projects and aligning analytical methods to support organizational objectives.

The other options either mention skills not specifically highlighted by Google or mix analytical capabilities with soft skills that, while important, do not directly pertain to analytical expertise as outlined in Google's framework.