NED Energy Interview Questions and Answers

Q1. Why do you want to join our organization?
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Q2. What makes you a suitable candidate for this position?
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Q1. What are your salary expectations?
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Q2. What factors contribute to the determination of your offered CTC (Cost to Company)?
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Q1. How do you manage stress?
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Q2. How do you demonstrate your capabilities?
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Q1. FOLLOWED BY GUIDANCE OF INTERVIWER
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Q2. DESCRIBE ABOUT YOURSELF
Ans. 
Experienced MIS Executive with a strong background in data analysis and system management.
• Over 5 years of experience in managing and analyzing data for decision-making purposes

• Proficient in using various MIS tools and software such as Excel, SQL, and Tableau

• Implemented automated reporting systems to streamline data collection and analysis processes

• Collaborated with cross-functional teams to identify and address data ma...read more
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Q3. TELL ABOUT CREDIT CARD
Ans. 
A credit card is a payment card issued by a financial institution, allowing the cardholder to borrow funds to make purchases.
• Credit cards have a credit limit, which is the maximum amount of money that can be borrowed.

• Cardholders must pay back the borrowed funds, usually with interest if not paid in full by the due date.

• Credit cards offer convenience and security for transactions, both online and in-person.

• Examples of c...read more
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Q1. HOW YOU GIVE STRONG SERVICE
Ans. 
I provide strong service by ensuring timely and accurate delivery of information, resolving issues efficiently, and maintaining a high level of communication with stakeholders.
• Prioritize tasks based on urgency and importance

• Utilize technology to streamline processes and improve efficiency

• Regularly communicate with stakeholders to provide updates and address concerns

• Quickly address any issues or problems that arise

• Consi...read more
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GENERAL APTITUDE TEST

Q1. General Excel knowledge
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Q2. Entertainment Resource Planning knowledge about the basic
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Q1. Fresher have different way of question
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Q2. Experience's have a previous process knowledge and about the general concept of the process
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Q1. Was asked to solve a question on trees which was leetcode minimum
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Q2. Some basic questions about solid and design principles
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Q1. Was asked to write recursive/looping solution for Fibonacci series. also asked to compare their respective time complexities.
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Q2. Discussions on your past experience and technologies you have worked with.
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They will ask Journal, trail balance

Q1. Self introduction
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Q2. Depreciation, golden rules
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Logical reasoning and financial aptitude questions

Q1. What are your three greatest strength?
Ans. 
My three greatest strengths are attention to detail, problem-solving skills, and strong communication abilities.
• Attention to detail: I have a keen eye for spotting errors and inconsistencies in data, ensuring accuracy in all my work.

• Problem-solving skills: I excel at analyzing complex data sets and finding innovative solutions to challenges that arise.

• Strong communication abilities: I can effectively convey complex inf...read more
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Q2. Qualities of a good manager
Ans. 
A good manager should possess strong leadership skills, effective communication, empathy, and the ability to delegate tasks efficiently.
• Strong leadership skills

• Effective communication

• Empathy towards team members

• Ability to delegate tasks efficiently
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Q1. Why should we give this job to you ?
Ans. 
I have a strong background in data management, proven track record of success, and a passion for continuous learning and improvement.
• I have X years of experience in data management, including proficiency in data analysis tools such as SQL, Excel, and Python.

• I have successfully led data management projects at my previous company, resulting in improved data accuracy and efficiency.

• I am a quick learner and always eager to...read more
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Q2. Last challenges faced in your current company
Ans. 
Implementing a new data management system, lack of training and resources, data quality issues
• Implementing a new data management system caused delays and confusion

• Lack of training and resources hindered efficient data management

• Data quality issues led to inaccuracies in reports and analysis
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