Acuity Data Analyst Interview Questions and Answers

It is nice to do work

It helps in understanding the 5

It helps a lot in company

Q1. How to do job in company?
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Q2. What I should do?
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Q3. How to do work?
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Q4. What should I do
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Q5. What is the goal?
Ans. 
The goal of a Data Analyst is to analyze data to extract valuable insights and make data-driven decisions.
• Identify trends and patterns in data

• Create visualizations to communicate findings

• Provide actionable recommendations based on data analysis
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They will ask aptitude, reasoning and other questions as an online test to know your problem solving skills.

They will give a topic where either we have to speak or write on that topic

Q1. Intro, questions related to python, guesstimate questions
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Q2. Behavorial questions and other hr questions included
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Q1. Difference between Sum and Sumx
Ans. 
Sum calculates the total of a column, while Sumx calculates the total of an expression evaluated for each row.
• Sum is used to calculate the total of a column in a table.

• Sumx is used to calculate the total of an expression evaluated for each row in a table.

• Sum: SUM('Table'[Column])

• Sumx: SUMX('Table', 'Table'[Column] * 2)
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Q2. How do u make groups and how bins are different from groups
Ans. 
Groups are created by categorizing data based on certain criteria, while bins are specific ranges used to group continuous data.
• Groups are created by categorizing data based on certain criteria, such as age groups or product categories.

• Bins are specific ranges used to group continuous data, such as age ranges or income brackets.

• Groups can be created based on qualitative data, while bins are used for quantitative data.

• E...read more
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Q3. Why do you prefer power bi over tableau
Ans. 
Power BI is preferred over Tableau for its seamless integration with Microsoft products and user-friendly interface.
• Seamless integration with Microsoft products like Excel, SharePoint, and Teams

• User-friendly interface with drag-and-drop functionality for easy data visualization

• Cost-effective solution for organizations already using Microsoft products

• Faster data processing and refreshing capabilities compared to Tableau

• ...read more
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Q4. Tell me about your roles and responsibilities
Ans. 
I have experience in data collection, analysis, and visualization to support decision-making.
• Collecting and cleaning data from various sources

• Analyzing data to identify trends and patterns

• Creating visualizations and reports to communicate findings

• Collaborating with stakeholders to understand business needs

• Using statistical tools and techniques to draw insights

• Presenting findings to non-technical audiences
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Q1. What is joins and types?
Ans. 
Joins are used to combine rows from two or more tables based on a related column between them.
• Types of joins include inner join, left join, right join, and full outer 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 table

• Ful...read more
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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. Power BI Difference between ALL() and ALLSELECTED()
Ans. 
ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.
• ALL() removes all filters from the specified column or table.

• ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.

• Example: ALL('Table') would remove all filters on the 'Table' in the query context.

• Example: ALLSELECTED('Column') would remove filte...read more
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Q2. Excel Difference between COUNT() and COUNTA()
Ans. 
COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.
• COUNT() counts only cells with numerical values.

• COUNTA() counts all non-empty cells, including text and errors.

• Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.
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Q1. Resume based questions like explain the projects that you have done.
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Q2. Sample dataset questions
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The test was simple basic aptitude

Q1. Desribe your project
Ans. 
Developed a predictive model to forecast customer churn for a telecom company
• Used machine learning algorithms such as logistic regression and random forest

• Performed data preprocessing and feature engineering to improve model accuracy

• Evaluated model performance using metrics like accuracy, precision, and recall
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Q2. Skills and related questions
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Q1. Can you tell me about yourself? Why do you want to work as a data analyst? What do you know about our company?
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Q2. What are your short-term and long-term career goals in the field of data analysis? Why do you wish to pursue a career in data analysis? What factors motivate you to work in a data-driven environment?
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