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BI Analyst Interview Questions and Answers

Updated 23 Sep 2024

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Q1. How will you communicate the technical advantage to a business user?

Ans.

I will communicate the technical advantage to a business user by using simple and relatable examples.

  • Use non-technical language to explain the advantage

  • Relate the advantage to real-life scenarios or business goals

  • Provide concrete examples and case studies

  • Highlight the impact and benefits of the technical advantage

Q2. How would you shows any aggregation on whole data row by row in SQL. Example if I want total sales as a new column in existing table as a result.

Ans.

To show aggregation on whole data row by row in SQL, you can use the OVER() function with appropriate window specification.

  • Use the OVER() function to perform aggregation on the entire data set

  • Specify the window specification to define the scope of aggregation

  • Add the aggregated result as a new column in the existing table

  • Example: SELECT *, SUM(sales) OVER() AS total_sales FROM table_name

BI Analyst Interview Questions and Answers for Freshers

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Q3. What does All function does in dax?

Ans.

ALL function in DAX returns all the rows in a table, or all the values in a column, ignoring any filters that might have been applied.

  • ALL function can be used to remove filters from a table or column.

  • It can also be used to remove filters from a specific column in a table.

  • ALL function can be combined with other functions like CALCULATE to perform complex calculations.

  • Example: CALCULATE(SUM(Sales[Amount]), ALL(Sales[Product])) will return the total sales amount for all products...read more

Q4. Difference between functions and store procedures?

Ans.

Functions return a single value while stored procedures execute a set of SQL statements.

  • Functions are used to perform calculations and return a single value while stored procedures are used to execute a set of SQL statements.

  • Functions can be used in SELECT, WHERE, and HAVING clauses while stored procedures cannot.

  • Functions can be called from within stored procedures while stored procedures cannot be called from within functions.

  • Functions cannot modify the database while store...read more

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Q5. How would you tackle in different source of data

Ans.

I would approach different sources of data by first understanding the data structure, cleaning and transforming the data, and then integrating it for analysis.

  • Identify the different sources of data and their formats (e.g. CSV, Excel, databases, APIs)

  • Assess the quality of data and perform data cleaning and transformation processes

  • Integrate the data from various sources using tools like SQL, Python, or BI tools

  • Create a data model to combine and analyze the integrated data

  • Perfor...read more

Q6. How good you are in sql

Ans.

I am highly proficient in SQL with extensive experience in writing complex queries and optimizing database performance.

  • Extensive experience writing complex SQL queries

  • Optimizing database performance through efficient SQL coding

  • Familiarity with advanced SQL concepts such as subqueries, joins, and indexing

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Q7. Data Type in Python ?

Ans.

Python has various data types like int, float, str, list, tuple, dict, set, bool, etc.

  • Common data types in Python include int (integer), float (floating point number), str (string), list (ordered collection), tuple (immutable collection), dict (key-value pairs), set (unordered collection), bool (boolean)

  • Data types can be checked using the type() function

  • Examples: int - 5, float - 3.14, str - 'hello', list - [1, 2, 3], tuple - (1, 2, 3), dict - {'key': 'value'}, set - {1, 2, 3...read more

Q8. Power Query in Power BI?

Ans.

Power Query is a data connection technology that enables you to discover, connect, combine, and refine data across a wide variety of sources.

  • Power Query is a data connection technology in Power BI used for data transformation and manipulation.

  • It allows users to import data from various sources, clean and transform the data, and load it into the Power BI data model.

  • Power Query uses a graphical interface to apply transformations to data, such as filtering, sorting, and merging....read more

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