Key components of an Analytics Interview:
1. 👶 Introduce Yourself
You have to ace this section. You can speak about anything and everything. From the beginning of your life, until today, whatever you have done, try to explain how it helped you reach your decision of diving into analytics.
2. 👾 🤖 The "What Is Analytics" Section
Data Science, ML Engineer, BI Developer, Product Analyst, etc. have to usually face this part. It revolves around concepts related to data science in general, and this is where they get to understand your profile, and dive deeper into your previous roles, academic achievements, and extra-curricular achievements that are relevant to the role. They can dive deeper into an algorithm of your choice, and/or discuss your most recent project.
3. 🤯 Statistics And Its Applications
This is the make or break section if you're going for a highly technical role. This is where pure statistical concepts are asked to be explained, and they try to understand how you'll apply that knowledge to their business. This is usually where it starts getting highly technical in the interview, and a mix-up of concepts also happens, so make sure to keep track of everything being asked, and answer accordingly.
4. 👨🎓 👩🎓 Business Case
This is another important section, where your approach needs to be domain-based, i.e. before your interview, you have to thoroughly research the domain in which the company is working, and what are their most productive projects. You have to answer in this section, using your inherent knowledge and the research that you do before the interview.
Growing is a slow process sometimes. Do not get disappointed if you don't crack an interview. You'll always have more chances.
Just keep learning from experiences. And adapt accordingly.
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