Overall there will be a few stages of the interview but basically, there can be classified into two sessions : Firstly, they will ask open-ended questions, answers are subjective. Eg: How do you define whether a campaign has succeeded/ failed? Secondly, you will be given a set of SQL questions for you to answer in one hour - more like a written test, where they will check your level of coding proficiency.
Describe your data Analytics projects What tools you use for analysis Expected Salary
1. Could you please provide a detailed walkthrough of your professional background, highlighting the specific roles and responsibilities you have held throughout your career journey? 2. What are the most significant achievements, technical skills, or key takeaways from your previous work experiences that we should explore further during this discussion? 3. Given the fast paced nature of our industry, are you open to working additional hours or overtime when project deadlines and business needs require it?
How would I change an existent data model of a particular business, to enrich the information.
I'll highlight the last question, given the originality: "If I was to start doing hobbie X, how would you convince me (using 3 arguments)?" I answered. "And what if I wanted you to convince me not to do that hobbie (using 3 arguments)?"
fact and dimension query question mainly order customer and product you have to find total sales top customer
Generic high level competency based questions including questions to understand my consulting experience.
why you choose business development dept?
Where do you stand on quality of work verse meeting deadline?
How do we refresh Power BI dashboard
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