BI Analyst
BI Analyst Interview Questions and Answers
Q1. How will you communicate the technical advantage to a business user?
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.
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
Q3. What does All function does in dax?
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?
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
Q5. How would you tackle in different source of data
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
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 ?
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?
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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