Excitel Broadband Data Analyst Interview Questions and Answers

Q1. Explain difference between joins
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Q2. What is your area of intrest
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Logical Reasoning ,Aptitude and English

Current affairs, Leadership topics

Q1. On new technologies
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Q1. Questions about relocation
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Q1. Qualification of my degree
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Q2. My personal skills for company
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Q1. If a dataset has missing values, how would you handle them?
Ans. 
I would handle missing values by imputing them using methods like mean, median, mode, or predictive modeling.
• Identify the extent of missing data in the dataset

• Consider the type of missing values (completely at random, missing at random, or not missing at random)

• Impute missing values using mean, median, mode, predictive modeling, or other statistical methods

• Evaluate the impact of imputation on the dataset's integrity an
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Q2. How would you analyze sales data to find ways to increase revenue?
Ans. 
I would analyze sales data by identifying trends, customer behavior, and market opportunities to increase revenue.
• Identify key performance indicators (KPIs) such as average order value, conversion rate, and customer acquisition cost.

• Segment customers based on demographics, purchase history, and behavior to target specific groups with personalized marketing strategies.

• Analyze sales channels to determine which ones are m...read more
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Q1. How is data analysis different from data mining? What is data cleansing? Why is it important? What do data analysts do when they are faced with missing or duplicate data?
Ans. 
Data analysis involves interpreting data to gain insights, while data mining focuses on discovering patterns and relationships in large datasets.
• Data analysis involves interpreting data to extract meaningful insights and make informed decisions.

• Data mining involves using algorithms to discover patterns and relationships in large datasets.

• Data cleansing is the process of detecting and correcting errors or inconsistencie...read more
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Q1. How proficient are you in using spreadsheet programs to compile and organize data? What have you used your data for in past positions? Have you ever had to lead an investigation? What was the topic, why wa...read more
Ans. 
I am highly proficient in using spreadsheet programs to compile and organize data.
• I have used spreadsheet programs extensively to compile and organize data in past positions.

• For example, I have used Excel to analyze sales data and create reports for management.

• I have also used Google Sheets to track project progress and budget expenses.

• In one position, I used spreadsheets to analyze customer feedback and identify trend...read more
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Q1. Could you elaborate on your roles and responsibilities in your previous employment?
Ans. 
In my previous role, I was responsible for analyzing data, creating reports, and providing insights to support decision-making.
• Performed data cleaning, transformation, and analysis using tools like Excel, SQL, and Python.

• Generated reports and dashboards to visualize data trends and patterns.

• Collaborated with cross-functional teams to identify key metrics and KPIs for business performance.

• Presented findings and recommen...read more
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Q2. What was your role in the project, specifically related to data transformation and dashboard creation?
Ans. 
I was responsible for data cleaning, transformation, and visualization to create interactive dashboards for stakeholders.
• Performed data cleaning and transformation to ensure accuracy and consistency of data

• Utilized tools like SQL, Python, and Tableau to manipulate and visualize data

• Collaborated with stakeholders to understand their requirements and design interactive dashboards

• Generated insights from data analysis to d
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Q3. How do you optimize and manage large datasets, and what data sources do you utilize to obtain this data?
Ans. 
I optimize and manage large datasets by using tools like SQL, Python, and Excel. I utilize various data sources such as databases, APIs, and web scraping.
• Utilize SQL queries to efficiently extract and manipulate data from databases

• Use Python for data cleaning, analysis, and visualization tasks

• Leverage Excel for organizing and summarizing data in a user-friendly format

• Obtain data from sources like internal databases, ex
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Q4. Guesstimates like how many traffic signals are there in Noida.
Ans. 
There are approximately 500-600 traffic signals in Noida.
• Estimate based on the size and population of Noida

• Consider the number of major intersections and roads in the city

• Take into account the traffic density and need for traffic management

• Consult local traffic authorities for more accurate data
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Q5. The interviewer asked SQL questions related to window functions, joins, and advanced aggregations, such as running sum and rolling sum.
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Q1. Second round is also a technical round and similar to first round . Medium to high level sql questions and questions related to the project you're working on and Guesstimates will be asked by the interview...read more
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Q1. Project manager will take the third round interview and inquire about your knowledge of the company, and some technical and scenario-based questions related to decision-making and problem-solving approach.
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Q1. Final round will be an HR round.
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