Senior Analytics Consultant
Senior Analytics Consultant Interview Questions and Answers
Q1. How can you find the common elements between two strings in python?
Finding common elements between two strings in Python.
Convert the strings into sets and use the intersection method to find common elements.
Iterate through each character in one string and check if it exists in the other string.
Use the difflib library to find the longest common substring between two strings.
Q2. Different types of Joins in SQL, difference between TRUNCATE and DELETE
Different types of joins in SQL include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN. TRUNCATE is faster than DELETE as it removes all rows at once.
Types of joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
TRUNCATE: removes all rows from a table without logging individual row deletions
DELETE: removes specific rows from a table and logs each row deletion
TRUNCATE is faster than DELETE as it does not log individual row deletions
Q3. LOD expressions in Tableau
LOD expressions in Tableau allow you to compute values at different levels of detail in a visualization.
LOD expressions include FIXED, INCLUDE, and EXCLUDE functions
FIXED LOD expressions compute values at a specific level of detail regardless of the visualization level
INCLUDE LOD expressions compute values at the specified level of detail and include other dimensions in the visualization
EXCLUDE LOD expressions compute values at the specified level of detail while excluding ot...read more
Q4. Blending and joins in Tableau
Blending and joins in Tableau allow users to combine data from multiple sources for analysis and visualization.
Blending is used when data sources have a common field but different levels of granularity.
Joins are used when data sources have a common field and the same level of granularity.
Blending creates a virtual join, while joins physically combine the data.
Examples: Blending sales data from Excel with customer data from a database, joining employee data from two different ...read more
Q5. Filters in Tableau
Filters in Tableau allow users to focus on specific data points within a visualization.
Filters can be applied to dimensions or measures to narrow down the data being displayed.
Users can use various types of filters such as quick filters, context filters, and data source filters.
Filters can be used to show or hide data based on specific criteria, such as date ranges or categories.
Example: Applying a filter to show only sales data from a specific region.
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