XYZ Distributors Data Analyst Interview Questions and Answers

Ask for a general question what will you first look at if people are doing add to card but not buying or make payment.

Q1. What is p value?
Ans. 
A p-value is a measure used in statistical hypothesis testing to determine the strength of evidence against the null hypothesis.
• A p-value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A p-value is compared to a significance level (usually 0.05) to determine if the null hypothesis should be rejected.

• A p-value less than the significance level indicates st
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Q2. Tell the output a**2
Ans. 
The output of a**2 is the square of the value of a.
• The output is the value of a multiplied by itself

• For example, if a = 3, then the output would be 9 (3*3)
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Q3. Difference between append() and concat
Ans. 
append() adds elements to a single DataFrame, while concat() combines multiple DataFrames.
• append() is a method used to add rows to a DataFrame.

• concat() is a function used to combine multiple DataFrames along a particular axis.

• append() modifies the original DataFrame, while concat() returns a new DataFrame.

• Example: df1.append(df2) vs pd.concat([df1, df2])
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Asked to write different SQL queries.
1. Moving average of lf previous 10 days
2. For a data which records in and out time of an employee. How many employees were present in the office at a given time
3. A/B testing vs pre-post testing

1. Had to come up with a method to give a score to each user based on FRM(frequency, recency, monetory)
2. Guesstimate: how many burgers does McD sells in a day

Q1. Python questions dataframe creata
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Q2. SQL questions joins , windows function,cte
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Q1. What challenges have you encountered in addressing customer problems?
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Q2. Product quality
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Q1. What is data analysis?
Ans. 
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.
• Data analysis involves examining raw data to find patterns, trends, and insights.

• It includes cleaning and organizing data, performing statistical analysis, and creating visualizations.

• Data analysis helps businesses make informed decisions, improve processes,...read more
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Q2. What stack have you worked with
Ans. 
I have worked with a variety of stacks including Python, SQL, Tableau, and Excel for data analysis.
• Python

• SQL

• Tableau

• Excel
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Q1. What’s your previous experience
Ans. 
I have 3 years of experience as a data analyst in the finance industry.
• Worked with large datasets to extract meaningful insights

• Performed data cleaning, transformation, and visualization

• Created and maintained dashboards and reports for stakeholders

• Conducted statistical analysis and built predictive models

• Collaborated with cross-functional teams to identify business opportunities
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Q2. What’s your skills for the current role
Ans. 
I have strong skills in data analysis, including proficiency in statistical analysis, data visualization, and programming languages such as Python and SQL.
• Proficient in statistical analysis techniques

• Skilled in data visualization using tools like Tableau

• Strong programming skills in Python and SQL

• Experience with data cleaning and preprocessing

• Ability to interpret and communicate insights from data

• Familiarity with machin...read more
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