Wells Fargo Senior Analytics Consultant Interview Questions, Process, and Tips

Q1. Filters in Tableau
Ans. 
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
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Q2. Blending and joins in Tableau
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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 ...read more
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Q3. LOD expressions in Tableau
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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 ...read more
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Q4. Different types of Joins in SQL, difference between TRUNCATE and DELETE
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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
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Q1. About my technical experience
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Q2. What will you do if you get the offer from multiple companies
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Q1. What are your primary skills
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My primary skills include data analysis, statistical modeling, programming, and problem-solving.
• Data analysis

• Statistical modeling

• Programming

• Problem-solving
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Q2. What is your core strength
Ans. 
My core strength lies in my ability to analyze complex data sets and derive actionable insights to drive business decisions.
• Strong analytical skills

• Ability to work with large data sets

• Experience in data visualization tools like Tableau

• Proven track record of using data to drive business strategy
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AML/KYC trigger and model related

Q1. Base and Advance concepts
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Q1. Project related question and the problems faced and how you handled them
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Q1. Situational Interview
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