🙋♂Guys, was it useful? Here is the complete map: miro.com/app/board/uXjVK0LABBo=/ Voice your opinion: Which other topics to cover? Looking forward to your comments!
@@alexright_data_analytics Great video. Everyone talks about how you need SQL and Tableau but not enough mention about requirements gathering and documentation
00:03 Data analyst: detective turning numbers into trends and insights 02:18 Data Analyst role involves gathering requirements and creating backlog of tasks. 04:46 Regularly attend scrum events for team collaboration and progress tracking. 07:13 Being a solo data analyst is challenging and requires multiple skills. 09:49 Data shaping and Python advantages for data analysts 12:28 Utilize Char GPT for Data Analyst tasks 14:58 Building trusting relationships with business stakeholders is crucial for success. 17:21 Consider company policies and flexibility for salary negotiation
Great video. Can you make a video of some interview questions that might be asked for data analyst roles. Also make a detailed step by step course outline for data analysis. That would be much appreciated. Thanks
I found your previous video about "a day in the life..." several weeks ago and was delighted to see this one pop up. I just hit 2 years as a "business analyst" as my company terms it, but I've honestly done almost no analytics and almost 100% Power BI development & "fixing" Excel files. I truly enjoy that aspect, and the company is large enough that we generate, obtain, and clean the data before it ever gets to me, meaning I just have to formulate it and condense it down for my team to view. After watching your vid, I almost feel that this has limited my growth. I took the job in order to learn to be an analyst (I have 25 years in retail & small business management prior to this role). I like to go further into Power BI and the Power platforms as a whole, but was curious as to your take. Given that you're a true analyst, would you recommend sticking to Power BI design and implementation, or do you think it would be helpful if I learned Python and SQL and the other stuff you mentioned in the vid? I'm also finishing a college degree in I.T. Management later this year and would really like to maximize my market value for my next role/job.
Hey! Thanks for your elaboration, interesting case. I had a similar experience. I think it all depends on your priorities. If your priority is to learn broad set of skills - then doing only Power BI is problematic. However, if you enjoy it, why not specialising in it and be a Power BI pro? I would list my, say, top 5 priorities and see how my current position matches them. As a data analyst, I would put scores and weights to each of the priority and I would try to understand if the overall score is satisfying for me, benchmarking it to an ideal case
@@alexright_data_analytics I didn't put too many of my own conclusions because I wanted to see how they stacked up vs yours, and they're pretty close. My current position doesn't align with them at all, so I'm only sticking with it until I finish my degree in the fall or early winter. The company I'm with just doesn't pay at what I think I should be getting, and I'm looking to start a consulting business after graduation tailored around Power BI and then getting into all the aspects of Fabric as I can learn them. Thank you for your ideas and personal reply to my question from yesterday!!
Hey! If you are looking at "software engineer" roles - this is a very broad category. No wonder there will be more openings than for data analytics, which is rather a narrow category. So, I do not see a problem with those numbers
@@alexright_data_analytics thanks alex, much appreciated.I have 2.5 years expereince in data integration and recently complted masters in data science but struggling to get calls in data anlaytics
🙋♂Guys, was it useful?
Here is the complete map: miro.com/app/board/uXjVK0LABBo=/
Voice your opinion: Which other topics to cover?
Looking forward to your comments!
That was very helpful, thank you so much!
@@FaziKoyau r welcome!
@@alexright_data_analytics Great video. Everyone talks about how you need SQL and Tableau but not enough mention about requirements gathering and documentation
00:03 Data analyst: detective turning numbers into trends and insights
02:18 Data Analyst role involves gathering requirements and creating backlog of tasks.
04:46 Regularly attend scrum events for team collaboration and progress tracking.
07:13 Being a solo data analyst is challenging and requires multiple skills.
09:49 Data shaping and Python advantages for data analysts
12:28 Utilize Char GPT for Data Analyst tasks
14:58 Building trusting relationships with business stakeholders is crucial for success.
17:21 Consider company policies and flexibility for salary negotiation
Thanks
Great video. Can you make a video of some interview questions that might be asked for data analyst roles. Also make a detailed step by step course outline for data analysis. That would be much appreciated. Thanks
Hey! Thanks for the feedback. Noted
Very useful)Thank you
Thanks for the feedback!
I found your previous video about "a day in the life..." several weeks ago and was delighted to see this one pop up. I just hit 2 years as a "business analyst" as my company terms it, but I've honestly done almost no analytics and almost 100% Power BI development & "fixing" Excel files. I truly enjoy that aspect, and the company is large enough that we generate, obtain, and clean the data before it ever gets to me, meaning I just have to formulate it and condense it down for my team to view.
After watching your vid, I almost feel that this has limited my growth. I took the job in order to learn to be an analyst (I have 25 years in retail & small business management prior to this role). I like to go further into Power BI and the Power platforms as a whole, but was curious as to your take. Given that you're a true analyst, would you recommend sticking to Power BI design and implementation, or do you think it would be helpful if I learned Python and SQL and the other stuff you mentioned in the vid? I'm also finishing a college degree in I.T. Management later this year and would really like to maximize my market value for my next role/job.
Hey! Thanks for your elaboration, interesting case. I had a similar experience. I think it all depends on your priorities. If your priority is to learn broad set of skills - then doing only Power BI is problematic. However, if you enjoy it, why not specialising in it and be a Power BI pro? I would list my, say, top 5 priorities and see how my current position matches them. As a data analyst, I would put scores and weights to each of the priority and I would try to understand if the overall score is satisfying for me, benchmarking it to an ideal case
@@alexright_data_analytics I didn't put too many of my own conclusions because I wanted to see how they stacked up vs yours, and they're pretty close. My current position doesn't align with them at all, so I'm only sticking with it until I finish my degree in the fall or early winter. The company I'm with just doesn't pay at what I think I should be getting, and I'm looking to start a consulting business after graduation tailored around Power BI and then getting into all the aspects of Fabric as I can learn them. Thank you for your ideas and personal reply to my question from yesterday!!
Yep, still sounds romantic:) thanks Alex for your job 👍🏻
You are welcome!
I see only 6000 jobs for data analyst opening in USA but for software roles more than 75000
Hey! If you are looking at "software engineer" roles - this is a very broad category. No wonder there will be more openings than for data analytics, which is rather a narrow category. So, I do not see a problem with those numbers
@@alexright_data_analytics thanks alex, much appreciated.I have 2.5 years expereince in data integration and recently complted masters in data science but struggling to get calls in data anlaytics