Alma Chen is an ex-actuary-turned-data scientist who finished undergrad with a dual bachelor’s degree in statistics and economics. After graduation, she worked as an Actuarial Analyst for almost four years. She then turned to Interview Query when she needed to prepare for her career change, and within three months, she had two solid offers.
Since October 2023, she has worked as a Data Analyst on the legal compliance team at Lyft after working as a Research Policy Analyst at DoorDash since August 2022.
We caught up with Alma to hear her story and the lessons she learned.
After working as an Actuarial Analyst for four years, I was not very satisfied with my career trajectory in that field. I like working with data, and I like using insights to drive business decisions. Still, actuarial science is over-credentialed, and the pay is comparatively low compared to data analyst and data scientist roles. That’s when I decided to make the switch.
I quickly narrowed my search to data roles at tech companies, but I didn’t know much about their interview process compared to actuaries. It was easy to find generic resources online or on YouTube, but much harder to find specific interview preparation materials. That’s when I first stumbled upon Interview Query. The further I got into the field, the more I turned to Interview Query for guidance.
As an Actuarial Analyst, I worked with a lot of data. In a way, it is like a Data Analyst job but with very different objectives and tools. I didn’t use SQL in that job; I only used a bit of R and Python. This background was insufficient for me to feel prepared for a data interview.
When I applied for my role at DoorDash, my first position after being an Actuarial Analyst was an entry-level job. Most of the questions were behavioral since they knew I had little experience doing case studies or live coding. By the time I got to Lyft, however, I needed to be much better in those technical areas, and that’s when I got serious about exploring the resources on Interview Query.
I’m now a Data Analyst at Lyft after starting at the beginning of October 2023. It’s been great. Transitioning from a traditional actuarial company to DoorDash was difficult, but this second jump to another gig economy tech company has been much smoother.
In a nutshell, I’m doing policy research for their legal/compliance teams, and it’s very similar to the role at DoorDash that I previously held.
I used Interview Query mainly for the case study questions, as I’ve found that there are a lot of basic SQL guides online, while case studies are harder to find.
For case studies, I like that on the Interview Query site, there is a space to type out your answer and then review other people’s responses as well. For case questions, there’s no right or wrong answer, just better frameworks, and ideas of how to solve the problem at hand. By viewing other answers, I can improve my line of thinking in the future.
Other positions I was interviewing for did let me know they would be asking about concepts in hypothesis testing and probability. For those, I leaned on the Interview Query Learning Paths. These were a great refresher to my undergraduate studies and got me back into the vocabulary and flow of these kinds of questions.
Honestly, I think the experience of interviewing for real jobs is the best practice for preparing for interviews. To keep my SQL abilities sharp for upcoming interviews, I would do about 45 to 60 minutes of SQL practice up to five days a week, and then on some of those days, I would record myself.
I would do a screen recording because doing it live is very different from doing it by yourself since it replicates some of the pressure and scrutiny of a real interview.
Recording yourself feels odd at first, but it is really helpful. I did a screen recording and a camera recording simultaneously. Then, because of those tools, I was forced to explain my work as I went along. I practiced my answers, talking through my thought process out loud. If I made a mistake, I couldn’t restart the entire question or the video.
At the end of the day, recording myself forced me to catch my mistakes in real-time and fix answers on the fly, just like in a live setting. I would also force myself to watch the videos for analysis. Even though it was a bit cringy, it was still a great exercise and helped me become aware of my leans on verbal ticks or crutches. Overall, this was really helpful in improving my performance.
I also applied for a lot of positions just to get technical interviews. For example, I knew that I did not want to work a remote-only job, but I applied to remote-only jobs to get a technical interview. I would just say no if they wanted to move me along the process. For case questions, I didn’t put as much effort into them as the technical questions. I would practice for an hour a day, maybe two to three times a week.
Besides just online resources, I would read books, too. I realize that reading books makes me more eloquent and better at explaining my thought process. It helps me not choke up.
In college, I had a 24-hour rule for test-taking that I brought into interviewing. I study until 24 hours before the test, and then in the last 24 hours, I’m not allowed to study at all.
It’s hard not to break down and cram, so I have to force myself to watch a movie or something or go out with friends, and I would call them before interviews, too, to avoid the temptation.
I do not do any prep. I do not study. I do not read anything about the company. All of my preparation needs to be completed in a timely manner before the interview, which improves the quality of my research and clear-headedness at the moment. At its simplest level, I can walk into an interview knowing I am ready.
The best approach to landing your dream role is to practice as much as possible. Practice by yourself, practice with others who are on the job hunt, and practice with established professionals.
This was especially helpful for me because I came from a position where I had no idea what the interview process would be like. Transitioning careers from one field to another can be daunting; if you go it alone, you won’t get feedback to improve.
Finally, get into as many interview rooms as possible to hone your physical presence and answers. Supplements like mock interviews and answering questions in a place like InterviewQuery are very helpful, but nothing beats the real deal for getting better.