Deloitte interview questions and answers
As more candidates set their sights on securing a rewarding career as a Data Analyst, many are left wondering what kinds of questions they’ll face in the interview. The uncertainty around interview expectations can be daunting, but with the right preparation, you can stand out with confidence. To help with this, we’ve compiled a list of recent interview questions asked at Deloitte for the Data Analyst position. This guide not only covers the questions but also provides insights into how to approach them, along with examples to support your answers. Whether you’re a fresh graduate or have some experience, these tips will help you confidently prepare for your next interview.
When interviewing for a Data Analyst position at Deloitte, you’ll likely face a combination of technical, analytical, and problem-solving questions. The following breakdown of potential interview questions with rephrased answers will help you prepare effectively. These answers are written in a simple and easy-to-understand style, ensuring clarity and uniqueness.
This question is a way for interviewers to get a quick snapshot of your professional background and how your skills fit the job requirements.
How to answer: Start with a brief summary of your academic background and work experience, particularly focusing on roles and tasks that involved data analysis. Mention the tools and techniques you use and how they relate to the job you’re applying for.
Example:
“I have a degree in Computer Science and have been working as a Junior Data Analyst for the past year. In my current role, I work with data cleaning, developing Power BI dashboards, and creating reports that help the business make data-driven decisions. I use SQL to extract and manipulate data, and I work closely with other teams to deliver insights from our data.”
This question is aimed at understanding your problem-solving skills, especially when using Power BI.
How to answer: Focus on a specific problem you faced and walk through the steps you took to resolve it. Whether it was a performance issue, data connection problem, or visual complexity, describe how you tackled the challenge effectively.
Example:
“Once, I was working on a Power BI dashboard for our sales team, and the dashboard was running very slowly because it was pulling data from a large database. I solved this by optimizing the data model by reducing the granularity of some tables and using direct query mode for faster data access. This helped reduce load time and made the dashboard more efficient.”
This question tests your understanding of basic concepts in data analysis.
How to answer: KPIs (Key Performance Indicators) are measurable values that show how well a company is achieving its business objectives. Dimensions, on the other hand, are attributes or categories that help break down data for more detailed analysis.
Example:
“KPIs are numerical metrics that evaluate business success, such as sales revenue or customer retention rate. Dimensions are descriptive categories, like product type, region, or time period, which are used to filter or segment data when analyzing KPIs.”
This question is designed to test your SQL query writing ability and familiarity with ranking or filtering data.
How to answer: Use SQL functions such as LIMIT and OFFSET or subqueries to identify the third-highest salary.
Example:
SELECT ESalary
FROM Employee
ORDER BY ESalary DESC
LIMIT 1 OFFSET 2;
Explanation: This query sorts the salaries in descending order and skips the top two records, returning the third-highest salary.
This question tests your ability to create stored procedures in SQL.
How to answer: Create a simple stored procedure that accepts a salary threshold as a parameter and returns employee IDs where the salary is lower than the threshold.
Example:
DELIMITER $$
CREATE PROCEDURE GetLowSalaryEmployees(IN SalaryThreshold INT)
BEGIN
SELECT EID
FROM Employee
WHERE ESalary < SalaryThreshold;
END$$
DELIMITER ;
Explanation: The procedure takes a salary value as input and retrieves employee IDs for those with salaries below the specified amount.
This question evaluates your understanding of SQL joins and how to filter data based on conditions.
How to answer: Use a MOD function to filter for odd salaries and then perform a JOIN with another table to fetch additional details like the employee’s date of birth.
Example:
SELECT e.EID, d.EDOB
FROM Employee e
JOIN empdetails d ON e.EID = d.EID
WHERE MOD(e.ESalary, 2) = 1;
Explanation: This query selects employee IDs with odd salaries and joins the data with another table, empdetails, to retrieve their date of birth.
This question tests your knowledge of window functions in SQL, which are useful for comparing data across different periods.
How to answer: Explain how the LEAD and LAG functions allow you to access data from the next or previous row, making them useful for comparing data across time periods.
Example:
SELECT Week, Sales,
LEAD(Sales, 1) OVER (ORDER BY Week) AS NextWeekSales,
Sales - LEAD(Sales, 1) OVER (ORDER BY Week) AS SalesDifference
FROM WeeklySales;
Explanation: The LEAD function helps you access the sales for the following week, enabling you to calculate the difference between sales this week and the next.
This question evaluates your proficiency with DAX functions in Power BI.
How to answer: Use the SAMEPERIODLASTYEAR function in DAX to compare data from the current year with the same period in the previous year and calculate the growth.
Example:
YoYGrowth =
(SUM(Sales[Amount]) - CALCULATE(SUM(Sales[Amount]), SAMEPERIODLASTYEAR(Sales[Date])))
/ CALCULATE(SUM(Sales[Amount]), SAMEPERIODLASTYEAR(Sales[Date])) * 100;
Explanation: This formula calculates the year-over-year growth by comparing current year sales with the same period last year.
This question tests your understanding of Power BI’s diverse charting features.
How to answer: A unique chart type in Power BI is the Waterfall chart, which is great for visualizing sequential data and understanding how different factors contribute to a final result.
Example:
“The Waterfall chart is useful for visualizing the cumulative effect of individual changes on a total, like tracking how different expenses affect overall profit. It’s a great way to see how each factor adds up over time.”
This question assesses your ability to perform time intelligence analysis using Power BI.
How to answer: Use DAX time intelligence functions like TOTALYTD (Year-to-Date), SAMEPERIODLASTYEAR, and DATEADD to analyze trends over different time periods, such as month-over-month or year-over-year.
Example:
“I would use DAX functions like TOTALYTD to analyze year-to-date sales or SAMEPERIODLASTYEAR to compare sales trends across different years. Additionally, I would create a date table in Power BI to ensure accurate time-based analysis across various periods.”
These rephrased questions and simplified answers provide a clear and unique way to approach a Data Analyst interview at Deloitte. Be prepared to showcase your technical skills in SQL, Power BI, and data analysis while demonstrating problem-solving abilities. By practicing these responses, you can increase your chances of impressing the interview panel with your knowledge and confidence.
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