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
- 0-2 years relevant experience
- Good communication skills (both verbal and written) and ability to work with cross-functional partners and team members
- Gathers operational data from various cross functional stakeholders to examine past business performance
- Location: Bangalore
Don’t miss out, CLICK HERE (to apply before the link expires)
Basic Interview Questions and Answers
1. What does a Business Analytics Analyst do?
Answer:
A Business Analytics Analyst collects and studies data to understand how a company is doing. They look at past results and try to find patterns or trends. These insights help the company improve processes, make better decisions, and plan for the future. They may also suggest changes to policies or strategies based on what they find in the data.
2. Why do you want to work in Business Analytics at Citi?
Answer:
I want to work at Citi because it’s a global company that values data-driven decisions. The role of a Business Analytics Analyst matches my interests in solving real problems using data. I enjoy working with numbers, finding patterns, and helping businesses grow through smart insights. Citi also provides a great environment to learn, grow, and work with experienced professionals.
3. What kind of data will you be working with in this role?
Answer:
In this role, I will work with different types of business data, such as:
Sales or transaction data to see what products or services are popular.
Customer data to understand buying behavior.
Operational data to see how well processes are working.
I’ll also work with reports from different teams to study how the business is performing and what improvements can be made.
Intermediate Interview Questions and Answers
4. How do you turn data into useful insights?
Answer:
I follow a step-by-step process:
Collect the right data from reliable sources.
Clean the data to remove errors, duplicates, or missing values.
Analyze the data using tools like Excel, SQL, or Python to find patterns or unusual trends.
Create charts or reports that are easy to understand.
Explain what the data means in simple terms and suggest what actions the business can take.
This process helps make data useful for business planning and decision-making.
5. Can you give an example of how data helped improve a business decision?
Answer:
During my internship, I analyzed sales data for a retail brand. I noticed that one product was popular in one region but not selling in another. I shared this with the team, and they ran a small promotion in the low-performing area. After the promotion, sales improved. This showed how data can help understand customer behavior and improve sales.
6. What tools or software are you familiar with for data analysis?
Answer:
I have used:
Excel – for data cleaning, sorting, and creating charts.
SQL – to pull specific data from databases.
Tableau or Power BI – to create dashboards and visual reports.
Python – for data analysis and simple automation.
These tools help me understand and present data clearly to others.
7. What is the difference between qualitative and quantitative data analysis?
Answer:
Quantitative analysis deals with numbers. For example, sales figures, number of customers, or profit margins. It answers questions like “How many?” or “What is the average?”
Qualitative analysis deals with non-numeric information like customer feedback, surveys, or interviews. It answers questions like “Why did customers stop buying?” or “What do people feel about a product?”
Both types of analysis are important in understanding the full picture.
Advanced & Role-Specific Interview Questions and Answers
8. How do you deal with incomplete or messy data?
Answer:
I start by identifying the missing or incorrect values. Then I:
Remove rows or columns if they are mostly empty.
Fill missing values using averages or past trends, if it makes sense.
Double-check the data source to correct errors.
Document any changes made, so everything is clear.
Keeping data clean is important because small mistakes can lead to wrong conclusions.
9. What would you do if two stakeholders gave you different goals for the same project?
Answer:
I would talk to both stakeholders to understand their goals clearly. Then, I would try to find common ground or a solution that includes both of their needs. If that’s not possible, I would ask my manager or project lead to help decide the priority. Clear communication is key in handling such situations.
10. What does “risk assessment” mean in this job, and why is it important?
Answer:
Risk assessment means looking at data to understand what could go wrong in a business decision. For example, if we plan to launch a new service, we use data to check if it’s too costly or if customer demand is low. It helps avoid losses and protects the company’s reputation. In this job, you need to make sure your data analysis follows rules and company policies.
Soft Skills & Behavioral Questions
11. How do you manage your time when working on multiple tasks?
Answer:
I list all the tasks and organize them by deadline and importance. I break large tasks into smaller parts and set short-term goals. I avoid multitasking too much because it reduces focus. I also give updates to my team if something might take longer than expected. Good time management helps me stay calm and productive.
12. Tell me about a time when you found a mistake in your work. What did you do?
Answer:
Once, while working on a report, I noticed that I had used the wrong formula in Excel. Before anyone else saw it, I fixed the error, double-checked the report, and informed my supervisor. I also updated my checklist so I don’t repeat the same mistake. I believe it’s better to admit and fix mistakes quickly than to hide them.
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