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SG Analytics Data Analyst Interview Questions and Answers
SG Analytics Data Analyst Interview Experiences
4 interviews found
Anonymous
I applied via Referral and was interviewed in Jan 2023. There was 1 interview round.
(2 Questions)
- Q1. What is difference between Link list and arrays 😁
- Ans.
Arrays are fixed in size and store data in contiguous memory locations, while linked lists are dynamic and store data in nodes with pointers to the next node.
Arrays have random access to elements, while linked lists require traversal to access elements.
Insertion and deletion are faster in linked lists as compared to arrays.
Arrays are better suited for small datasets with fixed size, while linked lists are better for la...
- Q2. They give suggestions to prepare more and apply after 6 months
Interview Preparation Tips
- Python
Skills evaluated in this interview
Selected
I applied via Referral and was interviewed before May 2023. There was 1 interview round.
(2 Questions)
- Q1. How to analyze which product category which customer
- Ans.
To analyze which product category each customer prefers, use customer purchase history data and apply clustering or association analysis.
Collect customer purchase history data including products bought
Apply clustering algorithms to group customers based on their purchasing behavior
Use association analysis to identify which product categories are frequently bought together by customers
Analyze the results to understand w
- Q2. Questions were based on my resume
Selected
I appeared for an interview before May 2023.
(1 Question)
- Q1. One puzzle and past experience
I appeared for an interview in Oct 2021.
We have to do primary research of mutual fund. And latest nav date
(1 Question)
- Q1. About mutual fund, tell me about yourself, knowledge of nav and stock market
Interview Preparation Tips
SG Analytics interview questions for designations
Interview questions from similar companies
I appeared for an interview in Mar 2017.
Interview Questionnaire
1 Question
- Q1. Views on their recruiting process
- Ans.
I believe the recruiting process is thorough and well-organized.
The company uses a combination of resume screening, interviews, and assessments to evaluate candidates.
They have a clear timeline for the hiring process and keep candidates informed of their progress.
Feedback is provided to candidates after interviews to help them improve for future opportunities.
Interview Preparation Tips
Experience:
(3 Questions)
- Q1. Why should we hire you?
- Q2. Where do you see yourself in 5 years?
- Q3. What are your strengths and weaknesses?
Selected
I applied via Job Portal and was interviewed in Apr 2024. There were 3 interview rounds.
Critical question in maths
General topic about current situation
(1 Question)
- Q1. About ourselves and resume
I applied via Referral and was interviewed before Oct 2021. There were 3 interview rounds.
Easy to intermediate level questions
(2 Questions)
- Q1. 1.Basic sql commands. 2. Basic to advance excel. 3.how was your past experience with company.
- Q2. 4.why you left the previous organization?
- Ans.
Seeking new challenges and growth opportunities.
Looking for a more challenging role to enhance my skills.
Seeking career growth and advancement.
Wanted to explore new industries and gain diverse experience.
Company restructuring led to a change in job responsibilities.
Relocated to a different city or country.
Personal reasons or family commitments.
Better work-life balance.
Unfavorable work environment or culture.
Interview Preparation Tips
I appeared for an interview in Apr 2021.
Round duration - 120 minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
I appeared for an interview in Apr 2021.
Round duration - 120 Minutes
Round difficulty - Easy
After the resume shortlisting, we were given a test link which needs to be done within 24 hours after getting it.
There were questions from Aptitude , Machine Learning, Probability , Excel and SQL
Round duration - 120 Minutes
Round difficulty - Easy
(1 Question)
Round duration - 45 Minutes
Round difficulty - Medium
We were asked to explain the Tableau Dashboard in detail. Some additional questions were also asked from Tableau. ML and Deep Learning questions were also asked along with a standard gfg puzzle.
- Q1. What questions were you asked regarding Machine Learning, specifically in exploratory data analysis, the basics of deep learning, and can you describe the puzzle that was presented?
Round duration - 30 Minutes
Round difficulty - Easy
One business case study was asked.
Round duration - 20 minutes
Round difficulty - Easy
Standard HR questions were asked.
Interview Preparation Tips
Tip 1 : We need to be clear with basics of differentiation calculus and probability to get a good understanding of ML algorithms.
Tip 2 : Also, we tend to ignore statistics , but statistics should not be skipped at any cost.
Tip 3 : There should be atleast 2-3 good ML projects for which you are fully confident. You can have one project for topics like supervised learning , unsupervised learning, recommendation systems and if possible deep learning project can also be included.
Tip 4 : You should be fair enough with any one visualisation tool like Tableau, Power BI etc.
Tip 5 : Practice as much as you can from kaggle
Tip 1 : Needs to have atleast 2 ML projects.
Tip 2 : Things like Excel, SQL , and Tableau should be mentioned in the resume.
Tip 3 : Certifications for ML and Excel, SQL and Tableau will help you getting shortlisted.
Tip 4 : And last but not the least, any false thing should not be included if you are not at all aware of it.
Skills evaluated in this interview
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SG Analytics Data Analyst Interview Process
based on 3 interviews
Interview experience
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SG Analytics Data Analyst Reviews and Ratings
based on 7 reviews
Rating in categories
|
Associate Analyst
420
salaries
|  ₹3 L/yr - ₹6.7 L/yr |
|
Analyst
312
salaries
| ₹3 L/yr - ₹9.1 L/yr |
|
Senior Analyst
254
salaries
| ₹4.9 L/yr - ₹16 L/yr |
|
Consultant
186
salaries
| ₹2 L/yr - ₹6.5 L/yr |
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Research Analyst
81
salaries
| ₹2.7 L/yr - ₹7 L/yr |
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