Zinnov Management Consulting Data Analyst Interview Questions and Answers

Q1. What projects are you working on?
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Q2. Tell me about a time you struggled.
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A test designed to a determination a person ability in particular skill of field knowledge

Coding and decoding

Devolpment of a particular person group or situation over a period of time

Q1. Relating to a particular Subject art or carft or its techNical Terms
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Is a situation faced when individuals collectively make a choice from alternative before them

A task or piEce of work allocated to someone a part of a job or course of study a home work assignment

Q1. InvolVoing or concerned with applied and industrial science
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Coding interview test candidate technical knowledge coding ability creativity typically on a white board

Q1. Managing an organisation employees
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Q1. Each player from one team is matched a single player from other team
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The from are checked and returned to the census officer for coding

Basic aptitude questions liek tiem distance, percentage , ratio, work and hour

Excel, Numpy, Pandas, basic ML

Case study talking about how to optimise the supply chain using data analytics

Q1. Hard DP level DSA question
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Q1. How good are you with numbers
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Q1. Vlookup, pivot table, sumif, average, graphs
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Q1. Do you know the role and responsibility of this position
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Aptitude have some basic questions that many of us can solve easily not that much difficult.

Q1. Nothing much just simple questions about normal calculations, your Introduction, Be Frank keep smile and be confident.
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Q2. They also checked your communication skills, grammar skills or some times they assign you to write formal letter or e-mails which could be pretty difficult sometimes be prepared for to that too.
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Q1. Power BI Difference between ALL() and ALLSELECTED()
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ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.
• ALL() removes all filters from the specified column or table.

• ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.

• Example: ALL('Table') would remove all filters on the 'Table' in the query context.

• Example: ALLSELECTED('Column') would remove filte...read more
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Q2. Excel Difference between COUNT() and COUNTA()
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COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.
• COUNT() counts only cells with numerical values.

• COUNTA() counts all non-empty cells, including text and errors.

• Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.
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Q1. Resume based questions like explain the projects that you have done.
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Q2. Sample dataset questions
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Q1. What makes you believe you are a good fit for this position?
Ans. 
I have a strong background in data analysis, with experience in utilizing various analytical tools and techniques to derive insights from data.
• I have a degree in Statistics and have completed multiple data analysis projects during my academic career.

• I am proficient in using programming languages such as Python and R for data analysis.

• I have experience working with SQL databases and extracting data for analysis.

• I have s...read more
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Q1. What are SQL window functions and how are they used in database queries?
Ans. 
SQL window functions are used to perform calculations across a set of table rows related to the current row.
• Window functions operate on a set of rows related to the current row, known as a window.

• They can be used to calculate running totals, ranks, averages, and more.

• Common window functions include ROW_NUMBER(), RANK(), DENSE_RANK(), SUM(), AVG(), and LEAD().
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