Get into Data Analytics NOW!
- Thread starter xXOGLEGENDXx
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For me as a more technical person, its more about conversing and working with the business a lot. I'm not the best talker, but I have gotten used to gathering requirements for projects, and this requires buy in from the client. When you start building multiple dashboards or reports and data pipelines for different topics for one department or for many departments, you can start to piece together a big picture of what's going on at the company, from all different angles. One thing you can try from there is see if there may be correlation between datasets that haven't traditionally been looked at together at the company. Since you already know the datasets, what issues they may have, and the different subject matter experts have told you what about how their piece of the business, you wind up in a unique position.
I'd say you can get by with online courses and certs, but most people have degrees. You'll have to be really good at communicating during the interviews and you're resume will have to show you have relevant experience, either with the tools or showing that you've dealt with data on a large scale
This advice is for the technical side. I dunno how the analyst side of this looks
Interviewed for a Data Analyst role at my previous company. But withdrew after finding out I would need to take a paycut from cyber. Screw that.
I'll stay in cyber until the wheels fall off.
This video does help explain data analysts role. But I think organizing data is not part of the data analysts role, at least in an organized environment. That's going to be more on the technical side.
Cyber as in Cyber Security, right? I feel like that would be the highest paying part of tech at the moment. Why would you wanna leave that?
Sauce Mane
Superstar
You don't even need to learn Python
It's mostly Excel, SQL, and tableau/power bi
Some data roles only use Excel, but honestly, it is good to learn SQL and Tableau
It's mostly Excel, SQL, and tableau/power bi
Some data roles only use Excel, but honestly, it is good to learn SQL and Tableau
Also, please get into this field. I'm tired of the other black people I see being on another team or part of building security. 
Or being mistaken for resort staff at tech conferences. I FORGOT MY BADGE!!!
Or being mistaken for resort staff at tech conferences. I FORGOT MY BADGE!!!
What do you actually do all day?
BI Engineer for Hospital:
- Build out and maintiain data pipelines that move data from various systems (electronic medical records, cisco call center data, public health data, etc) and feed it into a data warehouse
- Meet with dfferent SMEs (subject matter experts) and gather requirements of what they're trying to measure
- Build out reports and dashboards that meet these needs (and make sure we're not creating the same report 50 times. Thats what filters are for brethren!)
Data Engineer for Consulting company:
- Build out and maintain data pipelines for various clients
- Standardize this code so that new data feeds can be onboarded quickly
- Build data models to support Data analysts who build their own reports and data scientists who want to train and deploy models
Data Engineering team lead:
- Whatever the higher ups decides is the most important, and this can change mid day, lol
- Fight the temptation of telling people off
- Try not to laugh in someone's face when they are clearly mad about something
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Thurgood Thurston III
#LLNB #LLLB #E4R | woooK nypdK
From what I've heard and seen, it's hard to actually get a job in this.
Programmers still make more money overall than everyone. Not sure how much longer that will last.
I don't think most companies have a clue what they want their Data Analyst to do. Seems like their matching orders would change on a whim.
The cybersecurity workload due to massive understaffing. Leads to burnout and a sky high turnover rate. Not to mention ending up as the scapegoat for the organization.
xXOGLEGENDXx
Superstar
Most people have a misconception about AI and what it can do.
There are two main types of AI. RAG vs. Fine-Tuning. Most of what we associate with AI is Fine-Tuning. You ask and feed ChatGPT information to do something and it generates something based on what you feed it. In order for that to be effective you have to know specifically what to feed it and what to ask. When dealing with certain specific data sets, you still have to understand what the data is, how it has been manipulated and how it needs to be manipulated and interpreted. AI cannot do that on its own. ChatGPT is not going to replace us.
What would theoretically replace people is RAG AI. This is where a company's data is stored in a warehouse and a LLM (Large Language Model) is used to generate responses on its own and interact with us using all the data it has access to. Imagine your personality is downloaded on a drive and that drive gets plugged into a robot. The robot is programmed to read the drive and act as a vehicle for your personality. So instead of telling the robot (AI) what kind of joke to make, it already knows what kind of joke to make because it has access to your personality (data).
RAG is incredibly expensive and requires a lot of resources and power to be effective. Also it is reliant on the data it has access to. If it uses bad data, then the generations will be bad. That requires people to ensure the data has been properly managed and interpreted. AI cannot do that.
Will AI improve and be able to do these things at some point? Yes. But we are nowhere near the point where humans start getting "replaced". There is still a need for human data analysis, engineers, managers etc.
xXOGLEGENDXx
Superstar
Interviewed for a Data Analyst role at my previous company. But withdrew after finding out I would need to take a paycut from cyber. Screw that.
I'll stay in cyber until the wheels fall off.
Yeah, Cyber is a bag that will be secure until the end of time. That industry is almost as in demand as nursing. Yeah stay there and eat breh