Design a data model based on some vague information about loan applications and events related to those applications. Next, develop about four SQL queries corresponding to specific questions about that data. Read this Python script. What is it doing? How would you improve it? How would you design a dashboard that visualizes interest rates by state? How would you design the analytics infrastructure that populates this data in our BI tool? Basic questions about Git.
Tell me about yourself and why you’re looking to switch and generic HR questions.
Please model out a predictive analytics solution on a pattern of price fluctuations for Generic drugs over the course of 2 years using secondary data sources that are public knowledge.
Tell me about a time when you had to change expectations from someone on the team.
very typical technique question, such as introduce any two models that you are familiar with, what is simple linear regression, what's its assumption, what is R-square, why use adjusted R square, what is ARIMA, what's the purpose of ARIMA, tell me about logistic regression, what's your weakness, what else you need to learn before you take this job, what sas functions are you familiar with
Are you able to work remotely?
Did you win any awards in college?
Questions were pretty straightforward and what you’d expect for the role. They wanted to know my involvement in marketing roles, use of data and research etc.
"Power Day" consists of 2 sessions where you have to solve a business case each, 1 session with behavioral questions, and the other session where you have to present your data challenge
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