What kind of work do you do as a data analyst? [Monthly Datarian Seminar Replay | January 2023]

Monthly Data Analyst Seminar 💡
Revisit the monthly Datalian for January 2023!

Monthly Datalian Seminar
In January, we'll be covering data analyst career stories !

Datalian Seminar in January is 🔍

I recommend this to those who are having these concerns ✅

• Students who are interested in working at IT companies and are exploring career opportunities
• Anyone who wants to hear stories from current IT company data analysts
• I am currently working as a data analyst, but I am curious about how analysts at other companies work.
• Anyone curious about the daily routine of a data analyst

January Seminar Timeline ⏰

#1 - The Role of Data Analysts Varies with the Organization's Data Literacy

✔ Speaker Lee Kyung-jin (Kaya)

• Awake Corporation Product Director / In charge of data analysis and product management for the social dating app 'Glam', she was in charge of the entire process from product strategy to execution based on data. She is the real-life model for the role of data analyst 'Bomi' in the drama 'Because This is My First Life'.

The job of a data analyst is closely related to the company's 'data maturity'. We will talk about the challenges that analysts and data teams face as the company grows, focusing on Kaya's journey of joining as the company's first data analyst, creating a data organization, and further establishing a company-wide data culture.

#2 - 24 hours is not enough! A day in the life of a data analyst

✔ Interviewee Bae Ye-seul / Jeong Bo-gyeong

• Bae Ye-seul: Data analyst at a second-hand trading platform / Data analyst who seeks to lead data-based decision-making.
• Information Kyung: NICE Genie Data Data Analyst / Mainly working on developing credit rating models and establishing strategies based on financial and pseudonymized data.

What are third-year data analysts doing in their respective domains? Let’s talk with two data analysts about what the future holds for them as data analysts.

January 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?

• It was impressive to learn that the analysis work is not limited to just 'analysis' work, but that it is a job that greatly contributes to increasing data affinity and data utilization across the company.
• It was impressive to see how data-driven decision making was applied across the company and to hear vivid stories from data analysts in the field.
• It was nice to hear about the career paths for data analysts.
• I was impressed by the speaker's experience of creating an organization where data flows and can be understood.
• What impressed me most was the content about what data analysts do in each field.
• I learned the mindset of a growing analyst. I thought I should definitely ask myself, 'How can I help the product and the team?' I was impressed by how they found work, got opportunities, and grew on their own, from an environment where there was nothing to an organization where data flowed.
• I found the story of a data analyst who deals with financial data interesting.
• It was fascinating to get a detailed look into a day in the life of a data analyst working at a consulting firm!
• It was good to have indirect experience of what data analysts do in the field.
• It was great to hear from practitioners in various fields about the work of data analysts.
• I was impressed by the importance of communication and the way it made persuasive results easy to understand.
• I thought skills were important in data analysis, but what really impressed me was that the most important thing was analyzing the results with my own perspective.
• I was impressed by the interview with two current employees who said that looking at data itself was enjoyable.
• When distributing the results of the analysis, I was impressed by the importance of explaining it while considering the other person's position.
• I was impressed by the experience of how actual practitioners built a data culture.
• After listening to the second part of the interview, I was able to regain my mindset when preparing for a job change.
• I was impressed by the process of familiarizing the organization with data analysis in an organization that had no analysts.
• It was great to hear in detail about data analysis from people in the field.
• It was a great experience to be able to hear Kaya's story of establishing a data culture from beginning to end.

A word to Datalian!

• There were many good and diverse questions selected that fit the topic, and the presenters gave great answers, which was very helpful. Thank you.
• Thank you for giving me a seat. Thank you for your hard work.
• I look forward to more great seminars in the future.
• I felt like it was a place where we were growing steadily, with homepages, seminars, camps, Slack, and open chat rooms. Thank you for the great opportunity!
• Thanks for sharing this great info at this late hour!
• As an aspiring data analyst, I appreciate you creating this community environment!
• It was a time of learning and reflecting a lot. Thank you!
• Thank you always! My insight is broadening as I listen to the stories of people who actually work.
• We will continue to be together in the future! Thank you for the good content.
• I was interested in being a data analyst but didn't know anything about the actual work, but now I'm even more interested.
• Thank you for always providing great seminar content!
• Thank you always!
• The progress was clean and the content was informative.
• Thank you for holding these data analysis seminars regularly.
• I hope you will continue to have great seminars in the future!
• Thank you for always preparing great seminars.
• It was a really valuable opportunity to hear the stories directly from practitioners!
• It was nice that the host summarized the presentation from time to time, making it easier to listen to.
• It was really smooth and easy to watch.

2022 Monthly Datalian Replay