Maersk Senior Data Analyst Interview Questions and Answers

Q1. Optimization of Service center model design
Ans. 
Optimizing service center model design involves analyzing data to identify areas for improvement and implementing changes to increase efficiency and customer satisfaction.
• Analyze data on customer needs and service center performance

• Identify areas for improvement, such as wait times or staffing levels

• Implement changes to increase efficiency and customer satisfaction, such as adding self-service options or adjusting staf...read more
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Q2. Python related questions
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Q1. Scenario based questions
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Q1. Previous project discussion
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Q2. Sql amd python tabluea excel
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Q1. Detailed questions on probability. Statistical questions.
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Q1. Highlight min & Max sales for each year in tableau.
Ans. 
Use Tableau to highlight the minimum and maximum sales for each year.
• Create a new worksheet in Tableau

• Drag the 'Year' field to the Columns shelf

• Drag the 'Sales' field to the Rows shelf

• Drag the 'Sales' field again to the Color shelf

• Right-click on the 'Sales' field in the Color shelf and select 'Measure' > 'Min'

• Right-click on the 'Sales' field in the Color shelf again and select 'Measure' > 'Max'

• Format the visualization
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First round was aptitude test,duration is of 25 minutes involves SQL,PowerBI,Python, Qunatitative Aptitude,SAS skillset

Basic python with logical solutions. NO DSA

Q1. Tenchinal discussion on past projectss
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Q2. Waht is bias variance trade off
Ans. 
Bias-variance tradeoff is the balance between underfitting (high bias) and overfitting (high variance) in machine learning models.
• Bias is error from erroneous assumptions in the learning algorithm, leading to underfitting.

• Variance is error from sensitivity to fluctuations in the training data, leading to overfitting.

• Finding the right balance between bias and variance is crucial for optimal model performance.

• Regularizat...read more
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Data analysis ,dashboard creations