25Looker Interview Questions & Answers
1.Looker often introduces new tools. Have you ever helped to implement a new tool or program?
2.How do you prioritize multiple projects when they all seem equally important?
3.In your opinion, is data a true asset for a business. Why or why not?
4.Tell me about a time you took charge of a project. Discuss one positive and one negative outcome from the experience.
5.What is your approach to working with a large amount of information/data?
6.How could a business use the data visualization services of Looker to prospect and generate new leads?
7.Part of our business is in big data, which is continuously changing as new technology and products enter the market. How do you keep up-to-date on these changes?
8.Looker fosters a collaborative working environment. When have you taken the time to teach an essential skill to a coworker?
9.What is pervasive business intelligence, and what does it mean to you?
10.How does data drive a business' success?
11.What do you know about Looker's competitive position within the data analytics industry?
12.Walk me through your experience in databases, predictive modeling, and business intelligence. In which of these areas are you best versed?
13.What is your favorite data management tool at the moment?
14.Great data visualization will present data in a convincing way. How do you improve human perception when presenting data?
15.Explain data visualization, and why it is important to a business.
16.Do you have experience giving product demonstrations, and closing new accounts?
17.How do you react when your team misses a deadline?
18.Which tech blogs do you subscribe to?
19.Unexpected issues arise often in the technology industry, and you must be able to quickly adapt. In your opinion, what makes you a great problem solver?
20.What steps do you take when you have to make an immediate decision without all the relevant information?
21.In your opinion, what is the most exciting collaboration between data analysis and artificial intelligence in the past year?
22.Tell me about a time where you had to analyze a set of data and then make a recommendation.
23.What would you consider your technical specialty?
24.What are your salary expectations?
25.Why should we hire you?