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Deloitte
Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards
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I applied via Approached by Company and was interviewed in Mar 2024. There were 2 interview rounds.
I applied via Approached by Company and was interviewed in Dec 2023. There was 1 interview round.
Order of execution in Tableau determines the sequence in which calculations are performed.
Filters are applied first
Then calculations are performed
Aggregations are computed next
Table calculations are executed last
What people are saying about Deloitte
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Tableau Developer interview questions covering measures, dimensions, filters, joins, LOD, parameters, and scheduling.
Measures are quantitative data (e.g. sales, profit) while dimensions are categorical data (e.g. region, product category).
Live filters apply to the data source directly, while extract filters apply after the data is extracted.
Joins combine data from different tables based on a common field, while blendin...
posted on 8 Oct 2024
I applied via LinkedIn and was interviewed in Sep 2024. There were 3 interview rounds.
Use LOD calculations to display top and bottom values in one sheet in Tableau.
Use Level of Detail (LOD) calculations to create separate calculated fields for top and bottom values.
Use these calculated fields in the same sheet to display both top and bottom values.
For example, create a calculated field for top values using {FIXED [Dimension]: MAX([Measure])} and another for bottom values using {FIXED [Dimension]: MIN([M
Parameters and filters are key features in Tableau for dynamic data analysis and visualization.
Parameters allow users to input values that can be used in calculations, filters, and reference lines.
Filters are used to limit the data displayed in a visualization based on specified criteria.
Parameters can be used to create dynamic filters that allow users to interact with the data in real-time.
Combining parameters and fil...
Types of LOD include Fixed, Include, and Exclude LOD calculations for different use cases.
Fixed LOD: Used to ignore the level of detail in the view and compute an aggregate value.
Include LOD: Used to compute an aggregate value at a higher level of detail than the view.
Exclude LOD: Used to compute an aggregate value at a lower level of detail than the view.
Tableau Prep is a data preparation tool that allows users to clean, combine, and shape data for analysis in Tableau.
Tableau Prep helps in cleaning and transforming data before visualizing it in Tableau Desktop.
It allows users to easily combine multiple data sources and perform data cleaning tasks like removing duplicates, splitting columns, and aggregating data.
Tableau Prep also provides a visual interface for creating...
Snowflake schema is a normalized form of Star schema with multiple levels of dimension tables.
Snowflake schema has normalized dimension tables, while Star schema has denormalized dimension tables.
Snowflake schema is more complex and requires more joins compared to Star schema.
Star schema is easier to understand and query, making it more suitable for smaller datasets.
Snowflake schema is more suitable for larger datasets
posted on 25 Nov 2024
I applied via Naukri.com and was interviewed in May 2024. There was 1 interview round.
Use Tableau to create a sheet displaying the top 5 and bottom 5 sales.
Create a new worksheet in Tableau
Drag the sales measure to the Rows shelf
Sort the sales measure in descending order
Limit the view to show only the top 5 sales
Duplicate the sheet and change the sort order to ascending to show the bottom 5 sales
I applied via Approached by Company and was interviewed before Jul 2023. There were 3 interview rounds.
Medium leetcode and basic SQL queries
Questions related to previous Project work, ML system design, model performance metrics
posted on 15 May 2024
I applied via LinkedIn and was interviewed in Apr 2024. There were 2 interview rounds.
Tableau is used for data visualization and analysis in various industries such as finance, healthcare, retail, and marketing.
Helping businesses track key performance indicators (KPIs)
Creating interactive dashboards for real-time data analysis
Identifying trends and patterns in data for informed decision-making
Visualizing sales data to identify opportunities for growth
Analyzing patient outcomes in healthcare to improve t
I am excited to join ZS because of its reputation for excellence in consulting and its focus on innovation and growth.
ZS has a strong reputation for delivering high-quality consulting services to clients across industries.
I am impressed by ZS's commitment to innovation and its focus on developing new solutions to meet clients' evolving needs.
I am excited about the opportunity to work with a talented and diverse team of...
I am a quick learner and adaptable in professional and personal environments. My weakness is that I tend to overthink at times.
Strengths: Quick learner, adaptable
Weaknesses: Overthinking
Example of strength: I was able to quickly learn and adapt to a new project management software at my previous job, which helped improve team efficiency.
Example of weakness: Sometimes I spend too much time analyzing a problem before tak
I had a positive experience in my previous company.
I was able to work on a variety of projects and gained valuable skills.
I had a supportive team and management.
I received recognition for my contributions to the company.
I was able to develop strong relationships with clients and stakeholders.
I bring a unique combination of analytical skills, creativity, and a passion for problem-solving to ZS.
Strong analytical skills honed through academic and professional experience
Ability to think creatively and outside the box to find innovative solutions
Passion for problem-solving and a drive to continuously improve
Experience working in diverse teams and collaborating effectively
Strong communication skills to effective
I applied via Naukri.com and was interviewed in Apr 2024. There was 1 interview round.
Tableau Developer interview questions covering measures, dimensions, filters, joins, LOD, parameters, and scheduling.
Measures are quantitative data (e.g. sales, profit) while dimensions are categorical data (e.g. region, product category).
Live filters apply to the data source directly, while extract filters apply after the data is extracted.
Joins combine data from different tables based on a common field, while blendin...
based on 4 reviews
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