Baker Tilly Virchow Krause Data Analyst Interview Questions and Answers

First round will be aptitude test

Q1. Why should I hire you
Ans. 
I have a strong analytical background, excellent problem-solving skills, and a proven track record of delivering actionable insights.
• I have a degree in data analytics and relevant work experience

• I am proficient in statistical analysis and data visualization tools such as Python, R, and Tableau

• I have successfully completed projects where I identified trends and patterns in data to drive business decisions
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Q2. Tell me about your self
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Q1. Salary expectation
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Q2. Position of the candidate
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Q1. Question related to SQL.
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Q2. Concept of Data Warehousing.
Ans. 
Data warehousing is the process of collecting, storing, and managing data from various sources for analysis and reporting.
• Data warehousing involves extracting data from multiple sources and consolidating it into a central repository.

• It is used for analytical reporting, business intelligence, and decision-making purposes.

• Data warehouses are designed for query and analysis rather than transaction processing.

• Examples of d...read more
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Data Coding, 1hr, series of questions in excel

Q1. Tell me about your self
Ans. 
I am a data analyst with a strong background in statistics and programming, passionate about using data to drive business decisions.
• Experienced in data cleaning, analysis, and visualization

• Proficient in statistical tools such as R and Python

• Strong problem-solving skills and attention to detail

• Excellent communication skills for presenting findings to stakeholders
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Q2. A time help client
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Q1. Basic questions related to resume
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Q2. Technical questions related to language you known
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Q1. Introduce youself
Ans. 
I am a data analyst with a strong background in statistics and data visualization.
• Experienced in using tools like SQL, Python, and Tableau for data analysis

• Skilled in interpreting and presenting data insights to stakeholders

• Strong understanding of statistical methods and data modeling techniques
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Q2. How are you suitable for this role
Ans. 
I have a strong background in data analysis, with experience in utilizing various analytical tools and techniques to derive insights from data.
• I have a degree in Statistics and have completed multiple data analysis projects during my academic career.

• I am proficient in using programming languages such as Python and R for data analysis.

• I have experience in working with SQL databases and extracting data for analysis.

• I hav...read more
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Q3. Explain your projects
Ans. 
I have worked on various projects involving data analysis, visualization, and interpretation.
• Developed predictive models using machine learning algorithms

• Performed data cleaning and preprocessing to ensure accuracy

• Created interactive dashboards for data visualization

• Conducted A/B testing to analyze the impact of changes

• Collaborated with cross-functional teams to derive insights from data
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Q1. Type of sql Joints
Ans. 
SQL Joins are used to combine rows from two or more tables based on a related column between them.
• Types of SQL Joins include INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.

• INNER JOIN returns rows when there is at least one match in both tables.

• LEFT JOIN returns all rows from the left table and the matched rows from the right table.

• RIGHT JOIN returns all rows from the right table and the matched rows from the left tab...read more
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Q2. Write DAX for create data modeling on inactive relationship?
Ans. 
Use DAX to create data modeling on inactive relationship in Power BI.
• Use USERELATIONSHIP function to create an inactive relationship between two tables.

• Specify the relationship between the tables and the columns to be used in the relationship.

• Use CALCULATE function along with USERELATIONSHIP to perform calculations using the inactive relationship.
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Duration - 60 Minutes
Topic - Advance DAX, Joints using DAX, all except all

Code signal , SQL python questions

Take home coding assignment - 10 days analysis and recommendations

Q1. 4 rounds - 1 behavioralm 2 case studies 1 presentation
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