Shadowing Practice: Data Analyst Interview 2024 | SQL | POWER BI | Data Science | Mock Interview - Learn English Speaking with YouTube

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Hey, hi Dipali.
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Hey, hi Dipali.
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Yeah, hello sir.
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Good afternoon.
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Good afternoon.
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I hope you're doing well.
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Yes, I'm good.
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All right.
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So Dipali, I saw your resume and it feels like very much comfortable for this present domain.
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So can you please walk me through your profile?
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Yeah, actually I was working on Power BI as a Power BI developer in my previous company.
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So I have total 4.5 of experience and relevant is a power BI is a two plus of experience.
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And in this company, I was working for two domains like retail domains and rental domains.
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So this both domains are US based.
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So on this projects, my role and responsibilities are to creating the reports
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and publish uh publishing into the power bi services when
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when i was creating a report that time i was working data modeling data cleanings
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and by using tags multiples of text functions ui options
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and bar graphs charts we are using uh both
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and creating a report into power bi desktops
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and after creating we are sharing to the power bi services when i was sharing into the power bi services,
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that time we are creating a dashboards and we set alerts
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and subscription into the dashboards and that's all my daily works and said,
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I was cleaning the data from my data sources.
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I was working on three data sources,
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Snowflake, SQL and SQL data sources.
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Also, I was working three data sources to clean the data from these data sources.
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Okay.
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All my work.
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So, Deepali, tell me what were your challenges while you were working,
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you know, having some activities related to Power BI.
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So what were the daily challenges you faced?
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When I was working daily,
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so that time I was facing data connectivity issues from like refresh modes for a shadow refreshes
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and refreshes in Power BI services.
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So many times I was facing these issues
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and like multiples of DAX functions and as per our client requirements when we are working properly in DAX.
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So in DAX I was facing multiples of issues.
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So how did you handle it and what were the steps?
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Firstly I learned what is the issue.
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Then we will work on these issues where we are searching for Google
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and we are learning for multiples of YouTube and multiples of channels and we handle these issues for my own purpose.
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When I was not solving these issues,
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so I go to the manager and give manager help.
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Alright.
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So Google and YouTube were the primary sources of getting.
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Yeah fine super so you said
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that you were i mean familiar with you know database somewhere sql
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and so yes
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so how would you rate yourself you know on a scale
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of you know one to ten um for data sources yeah uh seven all right fine
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so uh what are the dbms software you are familiar SQL and PostgreSQL,
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Oracle, Snowflake, multiple sub software.
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So did you handle somewhere data cleaning?
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Yes.
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Part of your job.
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Okay.
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So what did you do in the data cleaning part?
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Can you please elaborate on that?
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Yeah, when I was cleaning the data to check the null values,
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duplicates and errors and remove these errors and null values and duplicate values from our data.
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When your data type is is a numeric and your data,
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sorry, actually your data type is a text,
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but your column is a date function.
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So you can assign this for data types.
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So we are facing multiples of issues in our data cleanings.
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Okay.
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So Dipali, let's say I want to delete all the records in a table.
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Okay.
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What command are you going to use?
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We are using the truncate command.
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Because when we are using delete command,
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when we are passing the condition to the delete function,
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we delete the records.
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But truncate is remove all records from our tables.
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Okay, fine.
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Done.
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So are you familiar with somewhere primary key?
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What is the primary key and foreign key?
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Yeah, in our data tables,
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there are like single primary keys,
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like it's a numeric and there is a normal values in your primary keys.
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But when we are going to the like as a learn
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or we are like face to the as a DBA database administrator.
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So we can learn in our table,
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there are multiples of primary keys.
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But we are basically used for only one primary keys at each cell or numeric type and there is no null values.
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Okay.
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So coming back to normalization,
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what do you understand by the term normalization?
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Normalization data sources are totally clean data and it is the process of organizing the data in our databases.
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And it is a redundancy or inconsistency of dependencies in your data databases.
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So is there any type of normalization?
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Yes.
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First NF, second NF, or third NF.
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Okay.
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Done.
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So Dipali, have you come across the term indexing,
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the concept of indexing in SQL?
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Yeah.
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Index is used for the retrieve the data from our data like columns or data.
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We're getting the index for the numbering one, two, three.
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Okay.
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Are you sure on that again?
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Oh, yes.
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Okay.
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Let's say if I want to delete the duplicate rows in a table.
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So what command am I going to use?
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We are using for group by function or having function using to duplicate roles.
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Sure.
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Yes.
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Okay.
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Fine.
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So coming back to the Power BI part.
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So apart from Power BI,
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Have you used Tableau as your data visualization tool?
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Yes.
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Okay.
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So can you brief me something about Tableau?
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Yeah.
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Mostly Tableau users are learned as compared to Power BI and Tableau.
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So Power BI is the best and simple tools we are using and handling this.
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But Tableau, I was personally using the Tableau and personally working in my previous company as a Tableau.
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So like as compare Power BI,
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Tableau is used huge amount of data sources.
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But in Power BI, there are limits for the datasets.
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And in Tableau, we are Tableau,
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they are the same both tools,
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like both are the same tools, Power BI and Tableau.
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But the multiples of functions are different.
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Like in Power BI, we are using DAX functions and in Tableau,
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we are using MDax functions like majors calculated fields we are using in Tableau.
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So which is your favorite chart that you use on Power BI?
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Bar chart, line chart.
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So tell me something about line chart uh
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when uh like a line chart it's a show our data
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like trend wise uh like date time wise we are showing the data into line chart
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so like we have a like one years of data
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and we see our sales of your latest three months like how what is the profit
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and what is the sales of our data so that time we are using line charts.
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So what about pie chart?
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Yeah, pie chart is mostly used for categorize the data.
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We show the content of amount,
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overall total data in the pie chart like percent wise calculations,
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percent wise or total revenue wise profit wise.
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We are seeing pie charts.
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So, okay.
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Coming back to SQL again.
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Okay.
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So, Let's say, can I concate two different data types in SQL?
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If so, if I can concate,
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then how is it possible?
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Yes, by using concatenate functions and operator using functions and operator using two different data types of data into SQL.
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Can you please tell me about the use of views in SQL?
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Yeah, when we create a database and we are using this data.
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So that time we are using function in our SQL to use the databases.
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And in data we using databases.
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So that time we are working on a multiple of operations or functions in SQL databases.
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So do you have any hands-on experience into Excel as well?
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Yeah, I have basic knowledge about this.
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I'm sorry, Excel.
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Suppose in Excel, let's say I have a data set and I want to find out a specific month
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or total number of orders that is placed.
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On a specific month, the total number of orders that is placed.
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So what function am I going to use?
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Counties.
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Counties.
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Okay.
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Super.
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Done.
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Let's say I want to find out the total sales transaction for couple of cities.
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So what I am going to use?
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Some functions.
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Some functions.
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Okay.
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Done.
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So, yeah.
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And one more question.
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So as a data analyst,
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what are the challenges you faced as a data analyst overall?
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Can you give me an overview on that?
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Yeah, when we are working as a Power BI tools for Tableau tools,
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so firstly, we give the data from our data sources.
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So that time I was facing two data connectivity issues from data sources to getting data sources into my tools Power BI.
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So firstly, we are facing multiples of issues for data connectivity.
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And second is like we creating multiples of charts.
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So that time I was using the DAX function.
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So this issue is facing and third is like we are publishing your sharing your reports into the Power BI services.
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So that time gateway issue is a multiple of times we are facing.
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So have you faced, so as you told that you were working in a company,
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so have you faced situation where you have to work with the company and meet the deadlines, tight deadlines.
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In that case, what did you do?
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I suppose, firstly, I was managing my deadline and my work
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and I was fully dedicated and work daily to daily time to time for this work.
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And so in case my work is not done for a deadline,
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so that time I was going to go to the manager and postpone this deadline and I will work on,
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give me a two to three days and I was finished my work.
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Okay.
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So what if the manager regrets,
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I mean, sorry, rejects the deadline?
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So what are you going to do at that time?
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Personally, I was working full day or night on this task and completed this task.
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Alright.
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So don't you think that work-life balance is a must for an employer?
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Yes.
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Okay.
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So coming back to again.
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So where do you see yourself,
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Tipali, in the next five years?
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In a reputed company.
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So I was working as a best designation in my own company.
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Okay.
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So I went through your resume.
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I saw that you are a master in computer science.
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Yes.
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Why not into coding part?
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Why into this Power BI and analysis part?
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Why?
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Actually, I like visualization, designing and creating reports.
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So that's why I was going to the analysis part.
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As compared to coding, coding is so vast and I was working coding for in my graduation and post-graduation days.
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So, as compared to best part is to me for the analysis.
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So Dipali, as you said that you are very much diversified to the work you do and and somewhere Volcaholic again.
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So one more question.
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Okay.
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So if let's say in an emergency,
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okay, I'm telling you to learn a tool and,
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you know, dedicate yourself for the next department that is software testing.
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Okay.
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Yes.
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So how comfortable are you with that?
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Yeah, I'm comfortable with that because in my,
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when I was start my career,
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so that time I was working as a manual tester, junior manual tester.
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Okay.
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So at times of emergency,
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you can assist them as well.
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Yeah.
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Yes, sir.
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Fine.
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Fine.
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Fine.
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Okay.
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So Pan-India relocation is not an issue for you?
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Yes, sir.
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Not an issue.
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Not an issue.
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Fine.
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All right.
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So done.
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I'm done from my end.
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Okay.
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And the HR will get back to you on my feedback.
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Okay.
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Yeah.
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Yeah.
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So have a good day.
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Thank you, Dipali.
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Thank you, sir.
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Okay.
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Thank you, sir.

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About This Lesson

In this lesson, you will enhance your English speaking skills by practicing a mock interview for a Data Analyst position. This session focuses on the use of industry-specific vocabulary related to SQL, Power BI, and data science. You will learn how to articulate your experiences clearly and effectively, an essential skill for job interviews in the technology and analytics sectors. By engaging with the material, you will also apply the shadowing technique to improve your pronunciation, fluency, and confidence while speaking in English.

Key Vocabulary & Phrases

  • Power BI: A business analytics tool used for data visualization and sharing insights.
  • Data Modeling: The process of creating a data model to organize and structure data for analysis.
  • DAX Functions: Data Analysis Expressions, a formula language used in Power BI for data manipulation.
  • Data Connectivity Issues: Challenges faced when linking different data sources for reporting.
  • Data Cleaning: The process of preparing and correcting data to enhance its quality for analysis.
  • Dashboards: A visual representation of data that shows key metrics and insights at a glance.
  • Alerts and Subscription: Notifications set up to inform users about important changes in data.

Practice Tips

To effectively use the shadowing technique during this lesson, focus on the following tips:

  • Listen Carefully: Pay close attention to the speaker’s pronunciation and intonation. This is crucial for effective shadow speech.
  • Use a Shadowing App: Employ a shadowing app to pause and playback sections of the interview transcript, allowing you to repeat phrases accurately.
  • Match the Speed: The speaker may have a moderate pace. Try to match their speed to develop a natural rhythm while practicing your English speaking.
  • Repeat and Imitate: Don’t just read the words; imitate the speaker’s tone and emphasis. This will help improve your overall speaking style.
  • Record Yourself: Consider recording your practice sessions. Listening to your recordings can reveal areas for improvement in fluency and correctness.
  • Engage with Dialogue: After shadowing, attempt to engage in mock dialogues based on the interview content, elaborating on your answers to further boost your english speaking practice.

By consistently applying these practice tips and immersing yourself in the learned vocabulary, you will enhance your English speaking skills and be well-prepared for real-world discussions in the data analysis field. Remember, practice is key to mastering any language!

What is the Shadowing Technique?

Shadowing is a science-backed language learning technique originally developed for professional interpreter training and popularized by polyglot Dr. Alexander Arguelles. The method is simple but powerful: you listen to native English audio and immediately repeat it out loud — like a shadow following the speaker with just a 1–2 second delay. Unlike passive listening or grammar drills, shadowing forces your brain and mouth muscles to simultaneously process and reproduce real speech patterns. Research shows it significantly improves pronunciation accuracy, intonation, rhythm, connected speech, listening comprehension, and speaking fluency — making it one of the most effective methods for IELTS Speaking preparation and real-world English communication.

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