Data Analyst Resumes That Lead Straight to Interviews [Monthly Datarian Seminar Replay | February 2022]
Have you ever seen an actual resume used by a data analyst when applying for jobs? Here are all the resume writing tips from analysts who successfully landed jobs as non-majors!
It was great that you gave job seekers who are preparing to change jobs from other fields a direction on how to explain their previous major or career on their resume.
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I was worried about whether to take the seminar since the lecture runtime was not long and it was a paid course, but after attending the lecture, I realized that it was a seminar that was worth the tuition fee!
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Since I have no experience and this is my first time writing a resume or portfolio, it was difficult to figure out a direction, but I was able to learn a lot by taking the class!! Thank you!!
What you will gain after the course
Data Analyst Resume Writing Examples
Data Analyst Portfolio Writing Examples
📍 Notice
This lecture will be converted to a free course starting Monday, June 2, 2025. Please keep this in mind before paying for the lecture.
If you have any questions, please click the 'Inquiry' button at the bottom right to leave a message.
Approximately 2,600 cumulative applicants! Check out the much-talked-about seminar through this video.
📢 Please check before taking the course!
This course is a recorded video (VOD) of the "Data Analyst Resume That Goes Straight to the Interview" live seminar held in February 2022.
It includes answers to real-time chat questions that came up during the live presentation.
Continuing in February! Monthly Datarian Seminar 🎤
The Datarian Seminar for February is 🔍
In the January Monthly Datarian, we shared stories of how four non-majors became data analysts. We received so many inquiries regarding resumes and portfolios. Therefore, for the February Datarian seminar, we have brought a topic that can resolve your curiosities about resumes. If you are curious about even one of the questions below, the contents of the February Datarian seminar will be helpful to you.
Recommended for those with these concerns ✅
I dream of becoming a data analyst, but creating a portfolio is so difficult. Are there any guidelines, such as a mandatory structure, that must be included in a resume?
What is the most effective way to list tool skills like SQL and Python on a resume? Should I list everything I can do in detail (including package names, when and in what situations I used them, etc.) vs. keep it brief and impactful in about one line?
I'm curious about data analyst portfolios. It's not easy to find actual web data, and I want to create a portfolio that can demonstrate, 'I have the skills required in the field! I've done this before!'
Is it better to include career experience that isn't directly related to data analysis? If I leave it out, the gap in my employment becomes too long, but if I include it, I'm worried it might leave me vulnerable to questioning during interviews, so I'm conflicted.
📺 Seminars will continue in March!
[March Topic] What kind of work do data analysts do?
#Part 1 - Reading resumes of working data analysts together
“How should I write about experiences unrelated to data analysis on my resume?” _ Minju
"Should I include this in my resume or leave it out?" _Bomin
#Part 2 - Q&A with 4 Data Analysts (Minju, Bomin, Sunmi, Hyejeong)
2부에서 답하는 사전 질문 펼쳐보기
Q1. Is there a preferred resume format for companies? (e.g., Notion, traditional-style resumes, resumes that look like those for foreign companies, etc.)
Q2. I am a student who wants to organize my data analysis internship experience in my resume or portfolio. Since there is confidential information, I am wondering if I should ask the company and only disclose a portion of it. Also, I am curious how the instructors organize the work they have done at their jobs.
Q3. I have no experience as a data analyst. I am wondering if a history of passing Python coding tests or equivalent certifications would be helpful.
Q4. I'm curious about data analyst portfolios. It's not easy to obtain actual web data, and I want to create a portfolio that can demonstrate that I have the skills required in practice and that I've actually done it!
Q5. I am curious about what aspects practitioners mainly look for in the 'Data Analysis Team Project' section of a candidate's resume or during an interview. (e.g., quality of derived analysis insights, proficiency with analysis tools, etc.)
Q6. Please give me some advice on how to prepare after taking the Datarian SQL course. I am currently a graduate with no relevant experience. It is not an easy situation to do something as a team project, so would analyzing data from a domain I am interested in by myself serve as a portfolio? Also, would I be able to demonstrate my capabilities through something like this?
Q7. I am currently receiving government-funded training related to AI, but I feel that the curriculum is quite different from the actual work of a data analyst. Are there data analysts who possess deep learning knowledge or use it in their practical work?
February Seminar Participant Introduction 📖
Part 1 Speaker <Minju>
After founding a co-living startup and working as an analyst at a B2B logistics startup, I am now the CEO of Datarian. I am a young entrepreneur with experience ranging from founding to exit. I began my first job search with a resume that spanned over 10 pages.
Part 1 Speaker <Bomin>
An analyst at a recruitment platform. A poet. On the surface, she seems to practice non-possession, but with her incredible execution and energy, she is always juggling endless projects. Her hobbies include updating her resume and portfolio, and she also loves looking at other people's resumes. She is living a true "deok-eop-il-chi" life (where one's passion and profession align).
Panelist <Sunmi>
Having worked as a data analyst at Coupang, Hyperconnect, and Kakao, I am now the CEO of Datarian. I will be participating as a panelist to review Bomin and Minju's resumes and offer some "back in my day" advice.
Panelist <Hyejeong>
Even before graduating from university, they worked as a full-time data analyst after completing an internship at a content company. Currently, they have reached a state of nirvana after resigning. They will be hosting the February seminar.
Frequently Asked Questions Q&A 💬
Q. When is the Monthly Datarian Live Seminar held? Where can I apply?
Datarian website, you can find information about the next monthly seminar. You can also sign up right away!
Q. Is there anything I need to prepare before listening?
None :D Anyone can listen!
Q. Is it possible to view the slides used in the seminar separately?
You can view the slides on the Datarian blog. Please check the link below! https://bit.ly/3Ff3ckF
If you're curious about the live participation reviews 👏
What was the most impressive part of the seminar?
It was very helpful because you shared your actual resume and explained everything in great detail.
I knew roughly what sections go into a resume, but when it came to writing my own, I felt stuck. It was great that the instructor showed their actual resume while explaining how to write it during the webinar. I was able to get a sense of exactly what kind of flow and content should be included.
The resume sections were impressive. In particular, it was interesting to see how the two speakers' sections differed and the reasons behind those differences.
It was impressive how you organized your firsthand experiences in a clean and easy-to-understand manner. In particular, hearing the detailed indirect explanations of why you took certain actions and made specific choices made me feel very well-considered as an audience member. Additionally, the fast feedback and active real-time communication, along with immediately providing links to necessary information, made for a very comfortable webinar!
Sharing various materials and methods that can be utilized in the process of preparing a portfolio (such as the log data provided by Datarian / Mode / utilizing competitions, etc.)
Stories that only industry professionals can tell!
A word for Datarian!
Thanks to you, I've unraveled all the major clues regarding data analysis! Thank you for helping me with clear job targeting :)
Datarian is love.. I was completely lost, but I think it's such a stroke of luck that I discovered Datarian at the beginning of my job search! I love you guys..
I want to work at Datarian..☆ Since there are so many people with similar values and ways of thinking about data analysis, I feel like I want to grab a cup of tea with them! ㅎㅎ Thank you so much for preparing such a meaningful lecture♡
It was so great to listen to such a useful and high-quality lecture. It was the most practical lecture I've ever attended, and I was so immersed that I didn't even notice the time passing. Thank you so much for providing such a highly efficient lecture at such a low cost!
I could feel the heart of a true mentor in your desire to share even one more thing with the webinar attendees. I loved the atmosphere where the speaker and the audience weren't stiffly separated but instead blended together to participate. It was such an honor to be able to experience such a great lecture.
Videos that are great to watch together 📺
Recommended for these people
Who is this course right for?
Those who are preparing to get a job or change careers as a data analyst
Those who are wondering what content to include in a data analyst resume
Those who are concerned about how to structure their data analyst portfolio
I was worried about whether to take the seminar since the lecture runtime was not long and it was a paid course, but after attending the lecture, I realized that it was a seminar that was worth the tuition fee!
Since I have no experience and this is my first time writing a resume or portfolio, it was difficult to figure out a direction, but I was able to learn a lot by taking the class!! Thank you!!
It was great that you gave job seekers who are preparing to change jobs from other fields a direction on how to explain their previous major or career on their resume.