Building a Self-Growing Analyst Career [Monthly Datarian Seminar Replay | June 2022]

Cumulative number of applicants: approximately 2,600!
Watch the hotly debated seminar in video format.

In June, we'll cover practical data analysis stories!
Monthly Datalian Seminar 🎤

Datalian Seminar in June is 🔍

I recommend this to those who are having these concerns ✅

• I want to hear from senior data analysts about the job-hunting process, concerns after employment, etc.
• I'm curious about how employed senior data analysts work.
• Please help me. I am a data analyst without a shooter. Is this the right way to do my job?
• Am I doing well right now? Am I going to end up like a water-experience query machine?
• I may have to work for the next 20 or 30 years, so how on earth should I plan my career?

June Seminar Timeline ⏰

#1 - Building a Self-Growing Analyst Career

✔ "Finding Your Own North Star in the Career Wilderness"

• Speaker Bae Ye-seul - Data Analyst / Previously working at a dawn delivery startup and now working at a second-hand trading platform.

Can anyone define exactly what a data analyst does?
Data analysts have very different jobs depending on the company, and even within the same company. In this wilderness where everyone has a different definition of a data analyst, what should we aim for when creating our careers? What should be my North Star?

✔ "The story of an analyst who became a frog in a well"

• Speaker Lee Bo-min - Data Analyst / After working as a data analyst at Jobplanet, he is now doing analysis at Datalian.

Data analysis is a field that accounts for less than 1% of the company's workforce, and no content related to it can be found even when searching. So how do junior analysts study?
It's good to have a shooter to ask questions to, but you can't ask the shooter every time from 1 to 100. What should you do if you don't want to be a frog in a well? The ups and downs of a data analyst's job search and the career concerns that arise after employment. If you're curious about how they're solving those concerns, listen to this session.

#2 - Q&A

June Seminar
About the participants 📖

Expected Questions Q&A 💬

Live participation review
If you're curious 👏

What was the most impressive thing you learned during the seminar?

• In the first session, I was particularly impressed by the way they took the time to find work on their own and check whether it was something they wanted to do.
• I was impressed by Yesul’s lecture, in which she worked hard and seized the opportunity without hesitation, even working overtime!
• The series of processes that allowed me to grow from a non-major to a data analyst were the most impressive. I learned that it is important to join a new community and be inspired by various people. I thought that I should use the Datalian community in the future :)
• What impressed me the most was Bomin's words that he would become one of us.
• Through the speakers' stories, I reflected on myself and thought that I, too, should have the tenacity to actively pursue data or any task like the speakers.
• There were so many things that I could relate to that really impressed me. I really sympathized with the fact that you are the only data analyst at a startup and that you are pioneering and doing the things you want to analyze.
• The stories you shared during the Q&A session were impressive overall, but I liked that you shared insights that only field workers can have in the rapidly growing work-related questions. In particular, I was like, “Wow!” when you said you were thinking about the ROI of data analysis. Since it is a new job, there are many things to explore, and I think I am learning anew that mindset is the most important thing in this job.
• As a job seeker, I had no idea which companies I should submit my resume to and which ones I should choose. However, the speakers' advice on choosing a company and setting one standard for yourself that you cannot compromise on was really helpful.
• What impressed me the most was that the lecturers shared their experiences without any reservations. If they wanted to use it commercially, they would have just told endless sweet stories, but I really liked that they focused on realistic stories~

A word to Datarian!

• I had a great lecture! I came here with a light heart after seeing an Instagram ad by chance, but I feel like I'm filling up on something heavy 😊😊
• This is a huge help to newbies who start working without a shooter😢😢
• It was a time like light and salt for non-major job seekers~
• This is my first time hearing about a seminar hosted by Datalian, but many people knew about this great thing before me...! I will use the SQL lectures and community! Thank you for the great lecture.
• There are so many data analysts who have the same concerns, and it feels reassuring to be able to hear from current senior data analysts who have experienced these concerns firsthand. Good luck with the Datalian seminar!!!!
• I first came to know about Datalian when I came across a post about RFM analysis around the end of May, and I regret that I didn't pay more attention and check out the team blog at that time, so I could have gotten more information. 😊😊 Since most bootcamps focus on machine learning/deep learning technologies and only cover basic analysis methods, I was always thirsty while preparing for a job as a data analyst, but I feel so reassured after learning about this salt-like existence. Thank you!!
• Thank you for creating a space where people interested in data analytics can gather!
• Thank you for organizing such an informative seminar today! It was a great help in preparing for my job as a data analyst.
• Thank you so much for the great seminar. I gained a lot of good information and had time to think about my future career.

Watch the last seminar together 📺