TE Connectivity Senior Research Analyst Interview Questions and Answers

Q1. If you had to conduct competitor analysis of the company, how would you do it?
Ans. 
To conduct competitor analysis, I would gather information on their products, pricing, marketing strategies, and financial performance.
• Identify key competitors in the industry

• Gather information on their products and services

• Analyze their pricing strategies

• Evaluate their marketing and advertising efforts

• Assess their financial performance and market share

• Compare strengths and weaknesses to our company
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Q2. Rate your Excel and PowerPoint skills on a scale of 1 to 10.
Ans. 
I would rate my Excel skills as 8 and my PowerPoint skills as 7.
• I have extensive experience using Excel for financial analysis, data manipulation, and creating complex formulas.

• I am proficient in using advanced Excel functions such as VLOOKUP, PivotTables, and macros.

• I have created detailed financial models and reports using Excel.

• I have used PowerPoint to create professional presentations with charts, graphs, and visu...read more
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30 mins some aptitude &logical reasoning&some supply chain related question

Q1. Related to core question (ECE)
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Q1. About salary package ,relocation
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Q1. What is expected salary
Ans. 
Negotiable based on the responsibilities and benefits offered by the position.
• Salary expectations are flexible and dependent on the specific responsibilities and benefits of the role.

• Open to discussing salary range during the interview process.

• Seeking a competitive salary that aligns with industry standards and the level of expertise required for the position.
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Q2. When you join in our organisation
Ans. 
I will bring my expertise, leadership skills, and passion for driving growth to your organization.
• I have a proven track record of successfully leading teams and achieving business objectives.

• I am excited about the opportunity to contribute to the success of your organization.

• I am confident that my experience and skills make me a strong fit for this role.
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It was very simple, general knowledge and few mathematical questions

Q1. What is you aim
Ans. 
My aim is to utilize my analytical skills and experience to provide valuable insights and recommendations for strategic decision-making.
• Utilize analytical skills to analyze data and identify trends

• Provide valuable insights and recommendations for strategic decision-making

• Continuously improve skills and knowledge in the field
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Q2. How do you find supply chain best for you
Ans. 
I find supply chain best for me by leveraging my analytical skills, attention to detail, and ability to optimize processes.
• Utilizing analytical skills to identify inefficiencies and areas for improvement

• Attention to detail in tracking inventory, managing logistics, and ensuring timely delivery

• Optimizing processes to streamline operations and reduce costs

• Collaborating with cross-functional teams to enhance communication
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Q3. What are your achievements and how would you use those in the current role
Ans. 
I have successfully led multiple cross-functional projects resulting in cost savings and process improvements.
• Led a team in implementing a new data analysis tool, resulting in a 20% reduction in data processing time

• Developed a forecasting model that improved accuracy by 15% and saved the company $100,000 in inventory costs

• Received recognition for outstanding performance and leadership in annual performance reviews
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Q4. What do you know about flex
Ans. 
Flex is a flexible work arrangement that allows employees to choose when and where they work.
• Flex refers to flexible work arrangements that give employees more control over their work schedule and location.

• Examples of flex options include telecommuting, flexible hours, and compressed workweeks.

• Flexibility can help improve work-life balance, increase productivity, and boost employee satisfaction.
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Q5. Tell me something about your final year project
Ans. 
Developed a machine learning model to predict stock prices using historical data
• Used Python programming language for data preprocessing and model development

• Implemented various machine learning algorithms such as Random Forest and LSTM

• Evaluated model performance using metrics like RMSE and MAE
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