Lead Data Analyst
Lead Data Analyst Interview Questions and Answers

Asked in Subex

Q. 1.Difference between loc and iloc in pandas. SQL queries 2.Pivot the table. 3.find the cummaltive sum of orders till the current day. Scenario based questions like - How will you address decline in revenue. Be...
read moreloc and iloc are two methods in pandas used for selecting data from a DataFrame based on labels or integer index.
loc is label-based, meaning you specify the row and column labels to select data
iloc is integer index-based, meaning you specify the row and column indices to select data
Example: df.loc['row_label', 'column_label'] vs df.iloc[row_index, column_index]

Asked in Wells Fargo

Q. What data is relevant for any derivative transaction?
Data relevant for derivative transactions include underlying asset, contract terms, market price, expiration date, and counterparty information.
Underlying asset (e.g. stock, commodity, currency)
Contract terms (e.g. type of derivative, quantity, strike price)
Market price of the underlying asset
Expiration date of the contract
Counterparty information (e.g. name, creditworthiness)

Asked in S&P Global

Q. What are the common reasons employees quit their jobs?
Employees often quit due to lack of growth, poor management, work-life imbalance, and inadequate compensation.
Limited career advancement opportunities can lead to frustration; for example, an employee may leave if they see no path to promotion.
Poor management practices, such as micromanagement or lack of support, can drive employees away; for instance, a manager who fails to recognize achievements.
A poor work-life balance, where employees feel overworked or stressed, can resu...read more
Asked in KavyaSahithi Books

Q. Explain how data is analyzed.
Data analysis involves cleaning, transforming, and interpreting data to extract meaningful insights.
Data is collected from various sources such as databases, surveys, or sensors
The data is cleaned to remove errors, duplicates, and inconsistencies
Data is transformed and structured for analysis using tools like Excel, Python, or R
Statistical techniques and machine learning algorithms are applied to identify patterns and trends
Visualizations such as charts or graphs are created ...read more
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