Tell me about your greatest achievements.
Senior Data Analyst Interview Questions
3,097 senior data analyst interview questions shared by candidates
Take home test consists of a SQL question fairly difficult + metric framework question. The dataset is very limited and you are expected to provide some visualizations.
Recruiter - Tableau vs PowerBI and why? - If you leave the company within 6 months what would be the reason? - How are you implementing the feedback given to you by your current manager Hiring Manager - [ The worst experience I have ever in my career of 12 years ] - When I asked about the product, I was stopped in between reason mentioning I am going to much into details, - When I asked about the exact role and team I have to work with again I was stopped, - Rest of the questions were pretty common, a difficult project you have driver, what if multiple requests from different stakeholders are coming etc. But I got rejected due by the hiring manager with reasons mentioning I asked too many questions about the product and I dont know about product. The product was "Global Bank", if anybody reading this, assess it yourself what wrong I have asked.
Joins, immutable and mutable objects etc and behavioural questions
Describe yourself and your resume.
Manager was kind of rude. she asked : 1. Difference between Where and Having. 2. Exp with Machine Learning Models. 3. Experience with Python. 4. Difference between Inner Join and Outer Join. 5. How will you navigate with different teams when there is work in all the teams. 6. Can you work alone or you would prefer to work with people. 7. How would you explain about the data to a 5 year old. 8. why credit sesame ? What you like about it. 9. Explain about how you start with the data analysis process.
According technical , fundamentals like pe ratio,leases account
Introduce yourself.. What do you understand by the job profile ? What are financial statement ? What is earing per share ?
Asked questions about projects that I worked.
Imagine you're given a dataset containing customer transaction records for an e-commerce company. The dataset includes information such as customer demographics, purchase history, product details, and timestamps. Your task is to analyze this dataset to identify trends or patterns that could inform business decisions. How would you approach this task, and what specific analyses or techniques would you employ to extract valuable insights from the data?
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