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Mu Sigma Scientific Analyst Interview Questions and Answers
Mu Sigma Scientific Analyst Interview Experiences
1 interview found
ASHUTOSH SINGH Rathore
Interview Preparation Tips
Experience: The students were selected as per their jobs roles, last degree, streams/subjects.
For example(People for business analyst job profile should have an accounts, finance background) Normally engineers were not shortlisted as they believed that now they are only looking for students with normal finance or accounts knowledge, in future if they have jobs for engineers they will be back.
Tips: If you have done your graduation in accounts, finance , or BBA its a great opportunity for you.
College Name: VIT Vellore
Interview questions from similar companies
Anonymous
I applied via Referral and was interviewed before Feb 2021. There was 1 interview round.
(2 Questions)
- Q1. What is EV and its formulae
- Ans.
EV stands for Enterprise Value, which is the total value of a company's equity and debt.
EV = Market Capitalization + Total Debt - Cash and Cash Equivalents
It is used to determine the total value of a company, including its debt
EV/EBITDA is a common valuation metric that compares a company's EV to its EBITDA
EV/Sales is another common valuation metric that compares a company's EV to its annual sales
EV can be used to comp...
- Q2. Format of income statement
- Ans.
The income statement shows a company's revenues and expenses over a specific period of time.
The income statement is also known as the profit and loss statement.
It includes revenues, cost of goods sold, gross profit, operating expenses, and net income.
Revenues are the money a company earns from selling its products or services.
Cost of goods sold is the cost of producing or purchasing the products or services sold.
Gross ...
Interview Preparation Tips
Selected
I applied via Naukri.com and was interviewed in Mar 2023. There were 2 interview rounds.
(2 Questions)
- Q1. Learn the basics on how to crack interview on situation based
- Q2. What is the difference between hard work and smart work
- Ans.
Hard work is putting in a lot of effort, while smart work is finding efficient ways to achieve the same results.
Hard work involves putting in a lot of time and effort without necessarily considering the most efficient approach.
Smart work focuses on finding efficient ways to accomplish tasks, often by leveraging resources, technology, or strategic thinking.
Hard work may lead to burnout or inefficiency if not combined wi...
Interview Preparation Tips
(2 Questions)
- Q1. General behaviour questions
- Q2. MS Excel Power point Presentation skills
(2 Questions)
- Q1. Self introduction
- Q2. Knowledge of data handling
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jun 2021. There were 3 interview rounds.
Interview Questionnaire
1 Question
- Q1. General questions based on your resume and some basic soft skills are tested
Interview Preparation Tips
I applied via Naukri.com and was interviewed in Jan 2022. There was 1 interview round.
(2 Questions)
- Q1. What are the joins available in sql
- Ans.
SQL joins are used to combine rows from two or more tables based on a related column between them.
INNER JOIN: returns only the matching rows from both tables
LEFT JOIN: returns all rows from the left table and matching rows from the right table
RIGHT JOIN: returns all rows from the right table and matching rows from the left table
FULL OUTER JOIN: returns all rows from both tables
CROSS JOIN: returns the Cartesian product
- Q2. Shown a case study and asked to answer it accordingly
Interview Preparation Tips
Skills evaluated in this interview
I applied via Referral and was interviewed before May 2021. There were 3 interview rounds.
General aptitude questions and maths problems
(1 Question)
- Q1. About Sql, python and excel
I applied via Job Portal and was interviewed in Jan 2022. There was 1 interview round.
(1 Question)
- Q1. Tell me about yourself.
- Ans.
I am an experienced analyst with a strong background in data analysis and problem-solving.
Experienced analyst with a strong background in data analysis
Proficient in using analytical tools and software
Skilled in problem-solving and critical thinking
Excellent communication and presentation skills
Ability to work well in a team and meet deadlines
Interview Preparation Tips
(3 Questions)
- Q1. Why should we hire you?
- Q2. Where do you see yourself in 5 years?
- Q3. What are your strengths and weaknesses?
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