Bikanervala Manager Interview Questions and Answers

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ITS TOO EASY TO CRACK THE INTERVIEW

Q1. ITS ABOUT CORE TECHNICAL
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Q2. WHAT IS CORE VAUES ABOUT COMPANY
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Q1. TECHNICAL QUESTIONS WERE ASKED
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Q1. What is the project and how its managed in terms of compliance and timeline.
Ans. 
The project is managed with strict compliance and adherence to timeline.
• We have established a set of compliance guidelines that all team members must follow.

• Regular audits are conducted to ensure compliance is being maintained.

• We use project management tools to track progress and ensure timelines are being met.

• Any deviations from the timeline are immediately addressed and corrective action is taken.

• We have a dedicated ...read more
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Q2. Mes and its implementation plan
Ans. 
MES is a system for managing manufacturing processes. Implementation plan involves defining requirements, selecting software, and training staff.
• MES stands for Manufacturing Execution System

• Implementation plan involves defining requirements, selecting software, and training staff

• MES helps in real-time monitoring of production processes, tracking inventory, and improving efficiency

• Examples of MES software include SAP ME
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Some cognitive tests. It is important to be honest while filling out because there are so many questions to test your honesty.

Q1. It was very friendly. They asked questions based on my CV and skills.
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Q2. Why do you want to work in P&G?
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Q1. Intro about yourself and role
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Q1. Details of work done
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Q1. Skill set should be clear
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Basic mathematics, elementary aptitude questions, followed by psychometric test

Q1. Why do you want to join P&G?
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Q1. Technical skill set , role fitment
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Q2. Ability to manage large teams and business volumes
Ans. 
I have extensive experience managing large teams and high business volumes.
• Successfully managed a team of 50+ employees in my previous role

• Implemented strategies to streamline processes and increase efficiency

• Handled high business volumes during peak seasons without compromising quality

• Utilized data analysis to forecast demand and adjust staffing levels accordingly
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