HCI Group Data Analyst Interview Questions and Answers

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Communication discussion

Q1. About My profile and knowledge
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Q2. About My attitude and experience
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Q1. Excel formula and macro MS word and PowerPoint dashboard advanced Excel and power bi
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Q1. DAX Related Syntax and Codes
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Q2. Data Modelling, SQL, Python
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Q1. No Response from HR after calling of selection after Round 1
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The test was psychometric and aptitude. Interview was easy.

Q1. What are your views on Generative AI.
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Q1. What is an inactive relationship in PBI
Ans. 
An inactive relationship in Power BI is a relationship that is not being used in any visualizations or calculations.
• Inactive relationships can occur when a relationship is created but not utilized in any measures or visuals.

• These relationships do not impact the data model or query performance, but can clutter the model view.

• To remove an inactive relationship, you can delete it from the relationship view in Power BI.

• Ina...read more
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Q2. Import vs Direct Query vs Live connection
Ans. 
Import vs Direct Query vs Live connection
• Import: Data is imported into the tool for analysis, suitable for small datasets or when real-time data is not required

• Direct Query: Data is queried directly from the source in real-time, suitable for large datasets or when up-to-date data is needed

• Live connection: Data is connected live to the source, allowing for real-time updates and analysis without storing data locally
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Q1. Excel shortcut keys?
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Q2. WHAT IS THE ROLE OF DATA ANALYST?
Ans. 
Data Analysts are responsible for collecting, processing, and analyzing data to help organizations make informed decisions.
• Collecting and organizing data from various sources

• Cleaning and processing data to ensure accuracy and reliability

• Analyzing data to identify trends, patterns, and insights

• Creating visualizations and reports to communicate findings

• Providing recommendations based on data analysis

• Collaborating with st...read more
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Q3. What are the skills need for data analyst?
Ans. 
Skills needed for data analyst include strong analytical skills, proficiency in data analysis tools, programming knowledge, and communication skills.
• Strong analytical skills to interpret complex data sets

• Proficiency in data analysis tools such as Excel, SQL, Python, R, etc.

• Programming knowledge to manipulate and analyze data effectively

• Communication skills to present findings and insights to stakeholders
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All the questions are based on the MCQ , and the syllabus is covered python SQL Power BI

Some questions from the Pandas Data Frame scenario based

Q1. Ask about work and coding
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They conduct written test

Q1. Asking questions like ur skills and qualification
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Q2. Which option u prefer quality or ontime delivery
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Q1. Asking about ur capabilities
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