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Here's how to answer data analyst interview questions to get a job.
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Here's how to answer data analyst interview questions to get a job.
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I've used this exact framework to pivot my career and land data analyst roles.
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And today I'll be sharing with you what this framework is and how you can apply it to your projects.
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First off, what is a data analyst interview?
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A data analyst interview is a combination of a technical assessment as well as behavioral questions.
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The technical assessment will most likely be in SQL
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and I have a video going over real data analyst interview questions that I'll link up here for you to refer to.
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Now for the behavioral part of the interview,
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they'll be asking you questions about your past.
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They'll be questions like, tell me about a time you faced the challenge,
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tell me about your work experience,
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and basically what they're trying to get at is what is your previous experience to determine whether
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or not you'd be a good data analyst in the future.
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And today's video will be all about the behavioral questions of the interview.
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So what is the most common interview mistake?
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The most common mistake is to ramble.
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You're nervous and you're put on the spot and so you just keep talking and talking without any structure.
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And I've seen this very commonly even as I've interviewed data analysts,
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they are extremely qualified on their resume,
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but they show up and they can't communicate their thoughts clearly,
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which is the reason why they get rejected.
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The interviews go something like this.
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Can you tell me about your most complex project from start to finish?
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Ger, I was working on a project with a large data set
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and the data set came from this team that I was unfamiliar with
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and so I had to ask the team and then I went and had a conversation with my manager.
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What did you learn from this response?
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It sounds like the challenge was the data set but that's unclear.
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Had the person just clearly explained their thoughts,
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what they structure, the person interviewing them would have known exactly that they had data analyst skills
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and easily would have hired the person,
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but instead, because of this unstructured flow of thoughts, they get rejected.
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Here's a tip.
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The interviewer wants to hire you.
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They are not looking for reasons to reject you.
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Their goal and your goal is actually the same
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because the interviewer has already looked at your resume and thinks that you can do the job.
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So all you have to do is show up
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and communicate very effectively that you can do the job so
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that the interviewer can just check off the boxes and say yes,
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I can hire this person.
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So what is the structure I use to answer interview questions?
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I use the framework CARL,
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context, action, result, and learning.
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The C and context stands for giving a background of the situation.
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So clearly in about one to two sentences you want to set the stage
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and give a description of what the task was.
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For action, what is it that you did specifically?
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The interviewer will be listening closely to listen for what was it that you did in the story.
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Then in result, what was the outcome?
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How did you measure success?
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The interviewer is looking to really understand the impact of your work
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and it doesn't matter so much that you saved hundreds of hours
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or made this huge impact it's the fact
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that you're able to quantify it and understand what measuring success means
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and for learnings what did you learn
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and what could you have done differently the learnings part is really important
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because it shows that you're able to self-assess and grow from your experience.
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And the learnings is particularly really helpful for anyone trying to pivot their career
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because they have experience and it shows that when they can self-reflect
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and grow from each experience
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that this is someone who's able to take on a different career
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and learn a new path and become a really good asset to the company.
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Now you may be thinking,
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this sounds really similar to STAR,
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situation, task, action, and results.
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And you're right, it is extremely similar,
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but there are two key differences.
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First of all, the situation and task is combined into the context,
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thus leaving more room for your actions, results, and learning.
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And honestly, you want to use your time efficiently
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And what the interviewer really cares about is seeing what is it
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that you did and what were the results and learnings from it and less about the context.
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The second reason it's different is because of the learnings.
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This is something that's not in the STAR format,
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but the learnings is so important because it shows that you're able to learn from each of your experiences.
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And it really prepares you for the common interview question of,
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so what would you have done differently?
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you're not put on the spot and you've already thought about,
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well, this is what I've learned and this is what I can bring to the table.
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So this is how you can use a Carl framework to
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answer the same interview question from earlier of tell me about your most complex project.
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Here's what I would say.
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I was automating the company's sales dashboard,
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which entailed tracking six different states across three different teams and aligning on the data sets and metrics.
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First, I met with each of the three teams and had to align on their data sets.
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They were tracking the same processes differently,
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so that required me to understand their data using data exploration,
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as well as creating a data model and cleaning it up so that I can aggregate it into one data for reporting.
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With the aggregated data set,
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I was able to automate over 30 hours of manual work for the sales team.
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From this project, I learned the importance of defining your metrics before moving on to the data.
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And you may be thinking now,
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well, what if I don't have work experience?
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Can I still use Carl with projects?
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And the answer is yes.
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Carl can also be used with your projects.
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Projects are great because they give you hands-on experience,
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something to put on your resume,
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but also they are great talking points for someone who doesn't have the work experience
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and you can use the same CARL format for your project.
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Just start with the problem statement in the context and then in the action,
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highlight your data analysis skills and any tools that you've used specifically and include the outcomes in your results
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and then what you've learned from this project in your learnings.
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So for a project, this is what I would say.
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In my personal projects, I've analyzed data sets containing exam scores,
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homework completion rates, and attendance records to see if it had an impact on student performance.
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This was challenging as I had to clean and reconcile five different data sets,
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and I used data cleaning
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and then aggregated the data to do a descriptive analysis using histograms
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and scatter plots to see if I could see a relationship between any of these variables.
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The results showed a strong correlation between student exam scores and attendance records.
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It even showed that if you increase the student attendance rate by 15%,
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that would improve the student exam scores by 10%.
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Through this project, I have enhanced my analytical skills and deepen my understanding of statistical analysis
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that I believe will be assets to my next role.
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My recommendation is to think about the Carl framework not only after you do your projects,
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but as you're doing them because you know that you're gonna have to use these for your interview.
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So think about, okay, what are the actions that I'm taking here?
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What are the results that I can show?
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And what are my learnings that I want to highlight during my interviews?
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Now please smash the like button and subscribe as you do not want to miss my next video with data analyst tips.
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And if you want to learn more about the habits that I use to become a data analyst,
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I'll link that video over here.
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Thank you so much, and I will see you there.
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단계별 쉐도윙 가이드
영상에서 소개된 구조를 활용하여 영어 회화 연습을 더욱 효과적으로 진행해 봅시다. CARL 프레임워크를 사용해 하루에 네 개의 단계를 연습해보세요:
- 맥락(Context): 특정 경험에 대한 배경을 간단하게 설명합니다. 1-2문장으로 상황을 설정해 주세요.
- 행동(Action): 스스로 수행한 행동을 구체적으로 기재합니다. 면접관이 무엇을 했는지 듣고 싶어 합니다.
- 결과(Result): 당신의 행동 결과를 설명하세요. 구체적인 성과를 제시하여 신뢰를 구축합니다.
- 학습(Learning): 이 경험에서 배운 점과 향후 개선점에 대해 심사숙고합니다.
이러한 구조를 통해 자연스럽게 대화의 흐름을 유지하고, 자신감을 갖고 IELTS 스피킹 시험과 같은 중요한 면접에서 자신의 능력을 전달할 수 있습니다. 이러한 shadow speak 훈련은 실제 면접 상황에서 유용하게 활용될 수 있습니다. 꾸준한 연습이 중요하니, 즐겁게 영어 회화 연습을 진행하세요!
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