EXL Service Senior Consultant Interview Questions, Process, and Tips

Q1. KPI's for CLI and CLD
Ans. 
Key Performance Indicators (KPIs) for Customer Lifetime Income (CLI) and Customer Lifetime Duration (CLD)
• CLI KPIs could include average revenue per customer, customer retention rate, customer lifetime value

• CLD KPIs could include average customer lifespan, customer churn rate, customer engagement metrics

• Tracking CLI and CLD KPIs can help measure the financial impact and longevity of customer relationships
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Q2. Credit score variables and impact on strategy
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Credit score variables impact strategy by influencing lending decisions and interest rates.
• Credit score variables include payment history, credit utilization, length of credit history, types of credit used, and new credit accounts.

• Higher credit scores typically result in lower interest rates and more favorable lending terms.

• Lenders use credit scores to assess risk and determine the likelihood of repayment.

• Strategies ma...read more
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Q1. How to get the last row of any SAS dataset
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Use the OBS option in a SET statement to read the last observation of a SAS dataset.
• Use the OBS option in a SET statement followed by the keyword 'END' to read the last observation of a SAS dataset.

• For example, to read the last observation of a dataset named 'mydata', use the following code: data lastobs; set mydata(obs=last end=last); run;
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Q1. Questions related to my work experience
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Q2. A case study on how to improve sales using website analytics management and email marketing
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Q1. Questions about past projects
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Q2. Case on use of analytics in a retail sector. How would you as a consultant, structure the whole process (as the job was for an assistant project manager)
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Basic SQL join and Python data wrangling questions.

Q1. Metrics that can be useful in a defined dataset.
Ans. 
Metrics such as mean, median, mode, standard deviation, and range can be useful in analyzing a defined dataset.
• Mean: average value of the dataset

• Median: middle value of the dataset when arranged in ascending order

• Mode: most frequently occurring value in the dataset

• Standard deviation: measure of the amount of variation or dispersion of a set of values

• Range: the difference between the maximum and minimum values in the da
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Q1. Salary discussion
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