Data analyst interview Technical skills, tips, insights, industry knowledge

Data analyst interview Technical skills, tips, insights, industry knowledge

HomeMo ChenData analyst interview Technical skills, tips, insights, industry knowledge
Data analyst interview Technical skills, tips, insights, industry knowledge
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To ask

00:00 What tools would you recommend for a beginner to learn who is just venturing into Data Analytics?
00:11 I'm starting my first job as a Data Analyst in September, do you have any advice?
00:45 Is full stack development a good career choice?
00:54 What is your height?
01:00 What country did you live in before moving to Britain?
01:09 What is the future of data analysis?
01:52 People say that Excel is in greater demand at companies and that you don't really need to learn Python before you get a job. How true is this?
02:18 The best way to set up a conference system when working remotely? What equipment, sound insulation or no sound insulation, etc.?
03:03 Work-life balance or just grind with some breaks?
04:15 Where can I download free datasets to import into SQL to practice my data analysis skills?
04:30 Can you suggest some interesting SQL and tableau project ideas related to the e-commerce industry?
05:09 Could you please tell us how to build a good personal brand in the field of data analytics?
05:50 Do you plan to remain a Data Analyst or do you have plans to switch to Data Science or Data Engineering?
06:34 It's super tough to get the first role. Do you have any tips that can help with this?
07:21 Do you think it is better to learn Power BI or Tableu?
07:51 What is the daily routine of a data analyst? Does a Data Analyst mainly work with Excel? Do you think it can be a bit repetitive and boring?
09:05 What are some niche industries that you think will leverage data analytics skills in the future that haven't in the past?
09:28 Do you struggle with perfectionism? How do you deal with work stress? How do you keep working without burnout?
10:35 How important is work experience in the field of data-oriented jobs?
10:50 What is the first thing you do when you are approached with raw data? How do you know which tool is best suited for a more effective analysis?
12:04 How much difference is there in practice versus practical life as a data analyst because we only use basic tools and create random dashboards when we are in the learning phase but the scenario changes very quickly once we join the company. What changes will we face after joining the company?
12:40 Best self-taught resources? Guide to switching from another individual field?
13:00 What are some of the challenges you've encountered in your first few years as a data analyst?
13:45 Changing career path from chef to data analyst. How would you deal with imposter syndrome and the idea of never being good enough?
14:47 Do you remember your first project ever?
15:03 When do you use measures in PowerBI?
15:22 Starting in IT at the age of 28. Is it a good idea?
15:40 What's a better role? Data analyst or data scientist?
16:08 What did you do to achieve all this?
16:49 What would you say to your past self 5 years ago?
17:13 How would you rate the importance of SQL compared to other skills like Python?
17:43 What is the new data analysis tool or programming language you are learning?
18:11 THANK YOU

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