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Aditya Birla Fashion and Retail Senior Business Intelligence Analyst Interview Questions and Answers
Aditya Birla Fashion and Retail Senior Business Intelligence Analyst Interview Experiences
1 interview found
Anonymous
Selected
I applied via Referral and was interviewed in Dec 2022. There were 4 interview rounds.
(2 Questions)
- Q1. Basic questions about your profile and work experience
- Q2. Which Tools are usings, skills set you have
- Ans.
I have experience using a variety of tools for business intelligence analysis.
I am proficient in using tools such as Tableau, Power BI, and QlikView for data visualization and reporting.
I have expertise in SQL for data querying and manipulation.
I am skilled in using Python and R for data analysis and statistical modeling.
I have experience with ETL tools like Informatica and Talend for data integration and transformatio...
Analytical aptitude test, attend only the quetions where you know correct answers
(4 Questions)
- Q1. Tell 2-3 scenarios real time case studys
- Ans.
Real-time case studies for Sr. Business Intelligence Analyst
Scenario 1: Analyzing customer behavior and sales data to identify trends and make data-driven recommendations for marketing strategies.
Scenario 2: Monitoring and analyzing website traffic and user engagement metrics to optimize website performance and user experience.
Scenario 3: Utilizing predictive analytics to forecast demand and optimize inventory manageme
- Q2. Which are formulas using in excel
- Ans.
Excel formulas are used for calculations and data analysis.
SUM: adds up a range of cells
AVERAGE: calculates the average of a range of cells
IF: returns one value if a condition is true and another value if it's false
VLOOKUP: searches for a value in a table and returns a corresponding value from another column
COUNT: counts the number of cells in a range that contain numbers
MAX: returns the highest value in a range of cel...
- Q3. How much big data you have handled
- Ans.
I have handled big data in various projects and have experience in analyzing and extracting insights from large datasets.
Managed and analyzed large datasets from multiple sources
Used tools like Hadoop, Spark, and SQL to process and analyze big data
Developed data models and implemented data pipelines for handling big data
Extracted actionable insights and created visualizations from big data
Worked on projects involving t...
- Q4. Share how you have anaylsis the report in past job n what is impact
- Ans.
I have analyzed reports by identifying key metrics, conducting data exploration, and providing actionable insights.
Identified key metrics to measure performance and track progress
Conducted data exploration to understand trends and patterns
Provided actionable insights to stakeholders based on analysis
Collaborated with cross-functional teams to gather data and validate findings
Interview Preparation Tips
- Power Bi
- Advanced Excel
- Dashboards
Skills evaluated in this interview
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I applied via Referral and was interviewed in Aug 2023. There were 2 interview rounds.
(4 Questions)
- Q1. Difference between Tuple and Dictionary
- Ans.
Tuple is an ordered collection of elements, while a dictionary is an unordered collection of key-value pairs.
Tuples are immutable, while dictionaries are mutable.
Tuples are accessed using indexing, while dictionaries are accessed using keys.
Tuples are typically used to store related pieces of data, while dictionaries are used for mapping and lookups.
- Q2. What is Adjusted R square
- Ans.
Adjusted R square is a statistical measure that represents the proportion of variance in the dependent variable accounted for by the independent variables.
Adjusted R square is an extension of R square, which measures the goodness of fit of a regression model.
It takes into account the number of predictors in the model and adjusts for the degrees of freedom.
Adjusted R square ranges from 0 to 1, where a higher value indic...
- Q3. Which is better Random forest or XG Boost
- Ans.
Both Random Forest and XG Boost are powerful machine learning algorithms, but their performance depends on the specific problem and data.
Random Forest is an ensemble learning method that combines multiple decision trees to make predictions.
It is known for its ability to handle high-dimensional data and maintain good performance even with noisy or missing data.
XG Boost, on the other hand, is a gradient boosting algorith...
- Q4. What is Max pooling
- Ans.
Max pooling is a pooling operation that selects the maximum value from a region of the input data.
Max pooling is commonly used in convolutional neural networks (CNNs) for feature extraction.
It reduces the spatial dimensions of the input data while retaining the most important features.
Max pooling helps in achieving translation invariance, making the model more robust to variations in input position.
For example, in a 2x...
(1 Question)
- Q1. Questions on cloud computing
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Skills evaluated in this interview
I applied via Job Fair and was interviewed in Apr 2022. There were 2 interview rounds.
(1 Question)
- Q1. Why should last job in left
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Aditya Birla Fashion and Retail Senior Business Intelligence Analyst Reviews and Ratings
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Rating in categories
|
Store Manager
711
salaries
|  ₹2.5 L/yr - ₹10 L/yr |
|
Assistant Manager
695
salaries
| ₹4 L/yr - ₹16 L/yr |
|
Assistant Store Manager
436
salaries
| ₹1.6 L/yr - ₹6 L/yr |
|
Senior Executive
279
salaries
| ₹2.1 L/yr - ₹9.3 L/yr |
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