30+ Business Intelligence Analyst Interview Questions and Answers

Develop a competitive Uber model focusing on unique value propositions and customer engagement to challenge Ola's dominance.

• Identify target market segments: Focus on underserved areas or demographics, such as rural regions or specific age groups.

• Differentiate service offerings: Introduce unique features like luxury rides, eco-friendly vehicles, or subscription models for frequent users.

• Leverage technology: Use advanced algorithms for dynamic pricing and efficient routing to e...read more

Tableau desktop, Tableau prep and Tableau Server are data visualization and analysis tools.

• Tableau desktop is used for creating interactive visualizations and dashboards.

• Tableau prep is used for cleaning and preparing data for analysis.

• Tableau Server is used for sharing and collaborating on visualizations and dashboards.

• Tableau also offers mobile apps for accessing and interacting with visualizations on-the-go.

• Tableau supports a wide range of data sources and has powerful dat...read more

Profit is 10

• Profit = Selling Price - Cost Price

• Profit = 30 - 20 = 10

I gather and analyze data by identifying business objectives, collecting relevant data, cleaning and organizing it, and using statistical methods to draw insights.

• Identify business objectives and define key performance indicators (KPIs)

• Collect relevant data from various sources

• Clean and organize data to ensure accuracy and consistency

• Use statistical methods such as regression analysis and data visualization to draw insights

• Communicate findings and recommendations to stakehold...read more

Power BI ensures security and data governance through various features and controls.

• Power BI allows for role-based access control to restrict access to sensitive data.

• Data encryption both at rest and in transit ensures data security.

• Integration with Azure Active Directory enables single sign-on and multi-factor authentication.

• Data lineage and auditing features help track data changes and maintain data integrity.

• Compliance with regulations such as GDPR and HIPAA ensures data g...read more

To penetrate the market and attract drivers from Ola, a business model focused on competitive pricing, driver incentives, and superior customer experience can be implemented.

• Offer competitive pricing to attract drivers from Ola

• Provide attractive incentives and benefits for drivers to switch

• Focus on delivering a superior customer experience

• Leverage technology and data analytics to optimize operations and improve efficiency

• Invest in marketing and advertising to create awareness...read more

It is estimated that around 400-500 airplanes fly in and out of Bangalore airport daily.

• Consider the number of flights scheduled for the day

• Take into account the number of domestic and international flights

• Factor in the average number of flights per hour

• Look at the airport's capacity and traffic volume

I am fascinated by the ability of Business Intelligence to turn data into actionable insights for informed decision-making.

• I am drawn to the process of collecting, analyzing, and interpreting data to drive strategic business decisions.

• I am excited about the potential of Business Intelligence tools to uncover trends, patterns, and correlations in data.

• I am passionate about using data-driven insights to optimize business processes and improve overall performance.

Data migration is the process of transferring data from one system to another. It should be done when upgrading or changing systems.

• Identify the data to be migrated

• Determine the target system and format

• Develop a migration plan and timeline

• Test the migration process

• Execute the migration and verify data integrity

Business intelligence is the process of collecting, analyzing, and presenting data to help organizations make informed decisions.

• Involves collecting data from various sources

• Analyzing data to identify trends and patterns

• Presenting insights to help with decision-making

• Uses tools like data visualization and reporting software

• Helps organizations improve efficiency and effectiveness

DTWSTR stands for Data Type Wide String and is a data type used in programming to store wide characters.

• DTWSTR is used to store Unicode characters, which require more memory than regular characters.

• DTWSTR is commonly used in programming languages like C++ and Java for internationalization and localization purposes.

• An example of DTWSTR usage is storing names or text in different languages that require special characters.

As a Business Intelligence Analyst, my day activities involve data analysis, report generation, and presenting insights to stakeholders. During difficult times, I prioritize communication and collaboration to find solutions.

• My day activities include analyzing data to identify trends and patterns, generating reports to communicate insights to stakeholders, and presenting findings to inform decision-making.

• During difficult times, I prioritize communication and collaboration to ...read more

Use the ORDER BY and LIMIT clauses to get the 2nd highest value in SQL.

• Use ORDER BY clause to sort the values in descending order

• Use LIMIT 1,1 to get the second row after skipping the first row

Calculate the total salary of employees using SQL or data analysis tools for insights.

• Use SQL query: SELECT SUM(salary) FROM employees;

• Ensure the 'salary' column is numeric for accurate summation.

• Consider filtering by department: SELECT SUM(salary) FROM employees WHERE department = 'Sales';

• Use data visualization tools to represent salary distribution.

The difference between having and where in SQL queries

• HAVING is used with GROUP BY to filter grouped rows based on a specified condition

• WHERE is used to filter rows before any grouping is done

• HAVING is used with aggregate functions like SUM, COUNT, AVG, etc.

• WHERE is used with individual columns for filtering

I will handle customers by actively listening to their needs, providing prompt and accurate responses, and ensuring their satisfaction.

• Actively listen to customers to understand their needs and concerns

• Provide prompt and accurate responses to customer inquiries

• Offer solutions and alternatives to address customer issues

• Ensure customer satisfaction by following up and resolving any outstanding concerns

• Maintain a positive and professional attitude when interacting with customers

Developed a predictive analytics model for customer churn using machine learning algorithms.

• Used Python programming language for data preprocessing and model building

• Implemented algorithms such as Random Forest and Logistic Regression for predictive analysis

• Performed feature engineering to improve model accuracy

• Conducted A/B testing to validate model performance

Code to find multiples of 3 & 5

• Iterate through numbers and check if divisible by 3 or 5

• Use modulo operator (%) to check for divisibility

• Store multiples in an array

Average calculates the arithmetic mean of a set of numbers, while AVERAGEX calculates the average of an expression evaluated for each row in a table.

• Average is used for calculating the average of a set of numbers.

• AVERAGEX is used in DAX formulas in Power BI to calculate the average of an expression for each row in a table.

• For example, AVERAGEX can be used to calculate the average sales amount per customer in a sales table.

Clustered indexes physically order the data in the table, while non-clustered indexes do not.

• Clustered indexes determine the physical order of data in the table, while non-clustered indexes do not.

• Clustered indexes are faster for retrieval of large ranges of data, while non-clustered indexes are better for individual row lookups.

• Tables can only have one clustered index, but multiple non-clustered indexes can be created.

IMEX property is a property that is used to import and export data in SQL Server Integration Services (SSIS).

• IMEX property stands for 'InterMixed' property

• It is used in connection strings to specify how to treat data types when importing or exporting data

• It is commonly used in SSIS packages to handle mixed data types in Excel files

Corrupt files can be handled by identifying the issue, attempting to repair the file, and restoring from backups if necessary.

• Identify the type of corruption in the file (e.g. file format corruption, data corruption)

• Attempt to repair the file using built-in tools or third-party software

• If repair is not possible, restore the file from backups

• Implement preventive measures such as regular backups and file integrity checks

To find the join result of two tables, you can use SQL JOIN statement.

• Use SQL JOIN statement to combine rows from two or more tables based on a related column between them.

• Types of joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• Example: SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column;

SQL joins combine rows from two or more tables based on related columns, enabling complex queries and data analysis.

• INNER JOIN: Returns records with matching values in both tables. Example: SELECT * FROM A INNER JOIN B ON A.id = B.id;

• LEFT JOIN: Returns all records from the left table and matched records from the right table. Example: SELECT * FROM A LEFT JOIN B ON A.id = B.id;

• RIGHT JOIN: Returns all records from the right table and matched records from the left table. Example...read more

Multica is a term that is likely a typo or incomplete question, as it does not have a clear meaning in the context of business intelligence.

• It is possible that the interviewer meant to ask about 'multicasting', which is a networking technology that allows data to be sent to multiple recipients simultaneously.

• Alternatively, the question could have been about 'multicollinearity', which is a statistical concept that refers to the presence of high correlations among independent v...read more

SQL wildcards allow flexible pattern matching in queries, enhancing data retrieval capabilities.

• Wildcards are used with the LIKE operator in SQL.

• The '%' wildcard represents zero or more characters. Example: 'A%' matches 'Apple', 'Aardvark'.

• The '_' wildcard represents a single character. Example: 'A_d' matches 'Add', 'Acd'.

• Wildcards can be combined. Example: 'A%_d' matches 'Acd', 'Aed', but not 'Acds'.

SQL query using joins to combine data from multiple tables

• Use INNER JOIN to combine rows from two or more tables based on a related column between them

• Specify the columns to select from each table in the SELECT statement

• Use ON clause to specify the join condition