CITI is hiring Freshers for the roles of BUSINESS ANALYTICS ANALYST. The details of the job, requirements and other information given below:
CITI IS HIRING : BUSINESS ANALYTICS ANALYST
- Qualification : Bachelors/University degree or equivalent experience
- 2021/2022/2023/2024 Batches can apply
- Previous relevant experience
- Demonstrate ability to problem solve
- Customer service skills
- High attention to detail
- Location: Bangalore
Don’t miss out, CLICK HERE (to apply before the link expires)
Interview Questions and Detailed Answers
1. Tell me about yourself.
Sample Answer:
My name is [Your Name], and I recently completed my graduation in [your degree – B.Com, BBA, or B.Tech, etc.] with a focus on data analysis and business intelligence. I have always enjoyed working with numbers and solving problems. During my studies, I learned Excel, SQL, and tools like Power BI. I also did a project where I analyzed customer buying patterns using sales data. I’m very interested in using data to help companies make smarter decisions, and that’s why this role at Citi is a great fit for me.
2. What do you know about Citi and this role?
Sample Answer:
Citi is one of the world’s largest financial institutions. It provides banking, credit cards, and investment services globally. It’s known for its innovation and focus on customers.
This role, Business Analytics Analyst, is part of the Decision Management team. The job involves using data to help the company make better business decisions. It includes tasks like analyzing data, solving problems, preparing reports, and ensuring that the solutions follow company policy and ethics.
3. What is Business Analytics in simple terms?
Sample Answer:
Business Analytics is the process of using data to understand how a business is performing and to make decisions. It involves collecting data, analyzing it, and finding patterns or trends. For example, if sales are going down, business analytics can help find out why and suggest ways to improve.
4. What tools or software are you familiar with?
Sample Answer:
I have used:
Microsoft Excel – for data analysis, pivot tables, and charts.
SQL – to query and extract data from databases.
Power BI / Tableau – to create dashboards and reports.
I’m also learning Python for data analysis using libraries like Pandas and Matplotlib.
5. Have you worked on any data projects? What did you do?
Sample Answer:
Yes, I worked on a college project where I analyzed customer feedback data for a retail store. I collected data through a Google Form, cleaned it in Excel, and used charts to show customer satisfaction levels. I found that customers were unhappy with delivery times, so I suggested improving the logistics process. I presented my findings using PowerPoint and Power BI.
6. What is the difference between structured and unstructured data?
Sample Answer:
Structured data is organized and easy to read by computers. It’s usually stored in tables, like data in Excel or SQL databases.
Unstructured data is not organized in a set format. Examples include text from emails, social media posts, or customer reviews.
7. What is SQL and how is it useful in this role?
Sample Answer:
SQL stands for Structured Query Language. It is used to interact with databases. With SQL, you can:
Get specific data from large datasets
Filter, sort, and join tables
Find trends or issues
In this job, SQL helps analysts get the data they need to understand the business better.
8. How do you ensure the accuracy of your analysis?
Sample Answer:
To ensure accuracy:
I double-check the data sources to confirm they are correct.
I clean the data to remove errors or duplicates.
I use formulas and calculations carefully and test them with known results.
I also review my results with teammates to catch mistakes.
9. What would you do if your analysis shows something unexpected?
Sample Answer:
If my analysis shows unexpected results:
I would first check if the data is correct and not outdated or wrongly entered.
Then I’d check if my calculations or formulas were correct.
If everything looks correct, I would try to understand why the results are unexpected by digging deeper into the data.
I would prepare a report and discuss it with my team or manager to get more insights.
10. Describe a situation where you solved a problem using data.
Sample Answer:
In college, I helped the canteen team reduce food waste. We looked at daily food usage data and noticed more food was wasted on certain weekdays. I analyzed attendance and found fewer students came on those days due to lab sessions. Based on my analysis, they adjusted food preparation accordingly, which reduced waste by 20%.
11. What is data visualization and why is it important?
Sample Answer:
Data visualization means showing data in charts or graphs instead of just numbers. It helps people quickly understand trends, patterns, and problems. For example, a line graph can easily show if sales are going up or down. It’s useful for presenting data to people who are not experts in data analysis.
12. How do you prioritize tasks when you have multiple deadlines?
Sample Answer:
I make a to-do list and sort tasks by urgency and importance. I try to finish high-priority tasks first. If something is complex, I break it into smaller steps. I also keep some time for reviewing my work before submitting. If needed, I communicate with my team or manager to adjust deadlines or ask for help.
13. What does “risk” mean in business decision-making?
Sample Answer:
Risk means the chance of something going wrong in business decisions. For example, launching a new product without testing could lead to failure. As analysts, we use data to find and reduce such risks. We also follow company rules and policies to make sure we’re making safe and legal choices.
14. What are your strengths that make you a good fit for this role?
Sample Answer:
I’m good with numbers and finding patterns in data.
I pay attention to detail and check my work carefully.
I’m comfortable with tools like Excel and SQL.
I like solving problems and helping others make decisions.
I’m a fast learner and open to feedback.
15. Why should we hire you?
Sample Answer:
You should hire me because I have a strong interest in data and business. I have learned the basic tools and concepts required for this role, and I’m always eager to learn more. I’m hardworking, a good team player, and ready to contribute to the company’s goals. I believe this role is a great opportunity for me to grow and also add value to your team.
16. Do you have any questions for us?
Sample Answer:
Yes, I do!
What kind of data or projects will I be working on?
Will there be any training provided at the beginning?
How does Citi support growth and learning for new employees?
Quick Topics to Prepare Before the Interview:
Basics of Excel: VLOOKUP, pivot tables, charts
SQL: SELECT, WHERE, GROUP BY, JOIN
Data visualization tools: Power BI, Tableau (basic)
Business terms: revenue, cost, profit, KPIs
Understanding risk, ethics, and compliance
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