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JOHNSON CONTROLS IS HIRING : DATA ANALYST

JOHNSON CONTROLS is hiring Freshers for the roles of DATA ANALYST. The details of the job, requirements and other information given below:

JOHNSON CONTROLS IS HIRING : DATA ANALYST

Don’t miss out, CLICK HERE (to apply before the link expires)

Data Analyst Interview Questions and Answers (For Freshers / 0–1 Year Experience)

1. Tell me about yourself.

Answer:
“Hello, my name is [Your Name]. I have recently completed my Bachelor’s degree in [Data Science/Statistics/Mathematics/Computer Science]. During my studies, I learned about data analysis, SQL, Excel, and data visualization tools like Power BI. I also did a few academic projects where I analyzed real-world datasets and created dashboards to show insights. I’m very passionate about working with data and solving business problems using data-driven decisions. I’m excited to start my career as a Data Analyst and grow in this field.”

2. What is data analysis?

Answer:
Data analysis is the process of collecting, cleaning, organizing, and examining data to find useful information. It helps businesses understand what’s happening, find trends or patterns, and make better decisions. For example, a company might analyze customer data to know which products are selling best or which areas need improvement.

3. What tools or software do you know for data analysis?

Answer:
I have used several tools for data analysis:

4. What is SQL, and how is it useful for a Data Analyst?

Answer:
SQL stands for Structured Query Language. It is used to communicate with databases. A Data Analyst uses SQL to:

For example, if I want to know how many sales were made in March, I can write a SQL query to get that information quickly.

5. What is data cleaning, and why is it important?

Answer:
Data cleaning is the process of fixing or removing incorrect, incomplete, or duplicate data. Clean data is important because bad data can lead to wrong analysis and bad decisions. As a Data Analyst, we must ensure the data is accurate before we start analyzing it.

6. What is the difference between data and information?

Answer:

For example, “5000” is just a number (data), but “Sales increased by 5000 units in January” is information.

7. What are KPIs?

Answer:
KPIs stand for Key Performance Indicators. They are measurable values that show how well a company or department is performing. For example:

As a Data Analyst, I might create dashboards that track these KPIs.

8. Can you explain a project you worked on?

Answer:
Sure. In my college project, I worked on analyzing customer feedback data for a retail store. I used Excel to clean the data and created charts showing common complaints and satisfaction levels. Then, I used Power BI to create a dashboard that showed overall customer satisfaction, top complaints, and suggestions. This helped the imaginary business understand areas for improvement.

9. What is data visualization, and why is it important?

Answer:
Data visualization means showing data using charts, graphs, and dashboards. It helps people understand complex data quickly and easily. Instead of reading a big table, a manager can look at a chart and understand trends or problems right away. Tools like Power BI and Tableau are used for this.

10. Why do you want to work at our company?

Answer:
I’m very excited about the opportunity to work at [Company Name] because it is known for innovation and data-driven decision-making. This job will allow me to apply what I have learned and grow my skills in real business projects. I am especially interested in working with a team of experts and learning from them. I believe I can contribute to your data analysis efforts and grow with the company.

11. Do you have experience working in a team?

Answer:
Yes, I have worked in team projects during my college. For example, in one project, we analyzed the impact of social media marketing. I was responsible for collecting and cleaning the data, while others worked on visualizations. We coordinated through regular meetings and finished the project successfully. I enjoy working with others and learning from them.

12. What are your strengths and weaknesses?

Answer:
Strengths: I’m good at analyzing data, finding patterns, and presenting insights clearly. I also pay attention to detail, which helps in cleaning and validating data.

Weaknesses: I’m still improving my knowledge of advanced Python libraries, but I’m practicing regularly to get better.

13. How do you handle pressure or tight deadlines?

Answer:
I try to stay calm and organized. I make a clear plan and break down the work into smaller steps. I prioritize the most important tasks first. If needed, I ask for help from my teammates or mentors. Communication and time management help me stay focused.

14. What is the difference between Power BI and Tableau?

Answer:
Both are data visualization tools:

Both tools help us create dashboards and reports to present data.

15. Do you have any questions for us?

Answer:
Yes, thank you. I have a few questions:

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