Deloitte Data Analyst Interview Questions and Answers

Q1. Tell me About Yourself
Ans. 
I am a data analyst with a background in statistics and experience in analyzing large datasets.
• Background in statistics

• Experience in analyzing large datasets

• Proficient in data visualization tools like Tableau

• Strong problem-solving skills

• Excellent communication skills
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Q2. Project working and day to day activities I do
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Q3. Rate Yourself In SQL out of 5
Ans. 
I would rate myself a 4 out of 5 in SQL proficiency.
• Proficient in writing complex SQL queries

• Experienced in optimizing database performance

• Familiar with data manipulation and analysis functions

• Comfortable working with large datasets
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Q4. Sql 3 question based on windows function
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Q5. Very basic python 2 Question
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Q6. What You do on power bi in your work Explain with full details workflow
Ans. 
I use Power BI to analyze and visualize data for insights and decision-making in my work.
• Connect to data sources to import data

• Transform and clean data using Power Query Editor

• Create relationships between different data tables

• Design interactive reports and dashboards

• Use DAX formulas for calculations and measures

• Share reports with stakeholders and collaborate on insights
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Q1. All 3 sql Questions very simple Round but they didn't provide any Data tables just tell this and that so it may get confusing I slove 2 out of three but rejected on this Round questions Are intermidate
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Q1. Was Given two small tables and was asked the total no of rows returned for each kind of join.
Ans. 
Understanding join types helps determine the number of rows returned in SQL queries.
• INNER JOIN: Returns rows with matching values in both tables. Example: 3 rows from Table A and 2 from Table B with 1 match = 1 row.

• LEFT JOIN: Returns all rows from the left table and matched rows from the right. Example: 3 rows from A, 2 matches in B = 3 rows.

• RIGHT JOIN: Returns all rows from the right table and matched rows from the le...read more
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Q2. In Tableau if the underlining table columns keep on changing than what can be done so that it wont affect on the view level.
Ans. 
Create calculated fields in Tableau to dynamically adjust to changing table columns.
• Use calculated fields to reference specific columns by name instead of position.

• Utilize parameters to allow users to select which columns to display.

• Consider using custom SQL queries to dynamically adjust to changing table structure.
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Q3. Row level security
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Q4. Tell me about your project
Ans. 
Developed a predictive model to forecast customer churn for a telecommunications company.
• Utilized machine learning algorithms such as logistic regression and random forest

• Performed data preprocessing and feature engineering to improve model performance

• Collaborated with business stakeholders to understand key drivers of churn

• Achieved 85% accuracy in predicting customer churn
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It was medium and if you focus you should be able to complete that!

Q1. Heat map and tree map difference and what you did so far in Tableau!
Ans. 
Heat maps display data in colors on a grid, while tree maps show hierarchical data using nested rectangles.
• Heat maps use colors to represent data values on a grid, while tree maps use nested rectangles to display hierarchical data.

• In Tableau, I have created heat maps to visualize sales data across different regions, and tree maps to show the sales distribution by product categories.

• Heat maps are useful for identifying ...read more
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Q2. Tool tips use. Types of graph which can help in KPIs
Ans. 
Different types of graphs like bar charts, line graphs, and pie charts can help in visualizing KPIs effectively.
• Bar charts can be used to compare KPIs across different categories or time periods.

• Line graphs are useful for showing trends and changes in KPIs over time.

• Pie charts can display the proportion of each KPI relative to the total.

• Combination charts can be used to show multiple KPIs in a single graph for comparis...read more
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Q1. Cultural fit question and scenario questions.
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Many questions on SQL and python programing and some questions on general aptitude

Q1. They asked about my projects which i mentioned in my cv
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Q2. Sub query in Sql
Ans. 
A subquery in SQL is a query nested within another query to retrieve data from multiple tables.
• Subqueries can be used in SELECT, INSERT, UPDATE, and DELETE statements.

• They can be correlated or non-correlated.

• Example: SELECT * FROM table1 WHERE column1 = (SELECT column2 FROM table2 WHERE condition);
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Q3. Some basic on c++ programming
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Q1. I rejected because they have already selected people they want
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Q2. I rejected me because i did not give proper answers
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