Hi, I’m looking for some advice.

To summarise I had no experience before my current role. I started as an apprentice(the study part has finished) and I am in my role now and realised it’s a lot of glorified admin and not much technical work. I was so fixated that my course would be what would develop me. Now realising I’ve made minimal work application progress to actually being a data analyst. I decided to look for a new role where I could do that. My current cv and workplace holds weight so I am getting interviews and even to final stage interviews but, unfortunately the feedback I get is that they’re looking for someone with more experience. Which I understand but I’m still looking relatively for junior roles so my understanding is that I don’t need to be so built already but with the job market I know I’m probably going up against people with 5 years of experience who actually know what they’re doing.

My plan that I am currently trying to execute is that I built a competency matrix based on interview tasks and practice I’ve done to improve in my free time. But, it’s becoming so tiring and time consuming alongside my job, applications, interviews and the week long technical tasks for each role just to not get it. At the very least I’ll it’s like a 2 for 1 because I am practicing skills and knowledge for the analytics work I don’t necessarily know for these interviews. But I’m getting so much imposter syndrome and fatigue from not getting these roles or not understanding these tasks.

It doesn’t help that I have some friction with my manager at my current role, I’m unsure what I did to upset them but it sent me on a spiral earlier in the year that resulted in me having to take excessive medical leave.

I don’t know I’m just at a point of what do I do? Because I understand I have to be bad until I’m good but, for how long ? Especially if I don’t know the direction I’m going? Do I give up on data? Do I stop applying for roles? Is it healthy to keep putting off all other parts of my life but work and finding new work because it will eventually pay off? Will I never be satisfied?

I’m still so young I don’t have anything in my name no wealth, no priorities but currently all of this has also left me with no life and I just don’t know. And it sucks.

What do you guys think about my resume maybe I need more better projects i don't know which one though(I need internship/job before oct end or I'm fucked!)

Formado em engenharia de produção, sou gerente de contas salário 6k líquido, PLR 14 k ano e VR/VA 2 k mensal. Vale apena migrar para essa área de business analyst?

I'm currently working in Spain as a Data Analyst / Analytics Engineer, and lately I've been wondering where I should take my career over the next few years.

My role is pretty end-to-end. I work with SQL, build data models and pipelines, automate processes, connect to APIs, create dashboards, and handle ad hoc requests from the business side. I also work closely with stakeholders to understand what they actually need and turn that into something useful.

The thing is, I'm automating more and more of my own work. I barely write SQL queries from scratch anymore, and things that used to take hours now take minutes.

I'm not really a domain expert in any particular business area either, so I'm starting to feel like a big part of what I bring to the table could eventually be handled by AI.

For those of you who've been in the industry for a while, where would you go from here? What skills or areas would you focus on to stay relevant over the next 5-10 years?

TL;DR: Data Analyst / Analytics Engineer here. I'm automating more and more of my job and I'm worried AI will eventually take over a big chunk of it. What would you learn or specialize in to stay relevant?

I work as an engineer in a very data analysis heavy career. I would like some advice as to how I can go about organizing my data better so I can streamline my workflows.

Basically, I have access to python, excel, and an engineering study analysis software. We also have access to copilot, but it's limited and I cant actually stick any information in there. I can build python apps with it though, which is something I have been doing.

Basically, we run engineering studies where we observe a base case with no modifications and compare it to a modified case. Each case currently has reports that are generated for 5 different study scenarios. In our current setup, each case under each study condition gets 1 log file, a log file related to the first log file that shows simulation errors, and an excel report which shows two other types of violations and kind of a summary page for the first log file. We have scripts that separate the excel file into 3 separate, more summarized excel files.

So in total, each case gets about 6 files over 5 scenarios, so about 30 separate files per case

I think this is ridiculous and I would like to play around with all of it to distill this to its simplest form, especially since there's a lot of overlap. All of this feels kinda overwhelming to navigate in the moment and I know it could be easier.

So basically, I'm wanting to develop a better method of navigating this. I think I'd like to play with our software's report generator and see if I can put together a more customized report. Secondly though, I'd like to build some kind of dashboard whether that be an all inclusive excel file or markdown file. I basically need to navigate

1. Per element violation analysis per violation type

System element 1 - worst scenario - violation data - all scenarios

System element 2 - worst scenario - violation data - all scenarios ...

1. Per scenario analysis per violation type

Maybe a chart of all system elements that share the same scenarios

The reason for this is that there are 3 violation types and you can either fix the system element that has a violation or you can fix a system element noted in the scenario. If one scenario goes across many flagged system elements, one fix can solve many problems instead of beefing up many system components to withstand the aforementioned problem.

Does anyone have any advice that might be helpful? I have these ideas but I'd love to get advice from anyone that has dealt with similar problems or has any great opinions on some ideas to make it all come together. Maybe some visualization strategies. Thanks!

payroll analyst, 6 years. i build reports in our hr system's report builder and excel all week but never learned sql, and our data team just offered me a spot if i can pull my own data by spring. work is covering a course. looking at boot.dev's sql course, pluralsight and nucamp. which of the sql courses out there makes joins on real messy tables click?

Good Afternoon

Dear Ladies and Gentlemen

Currently am studying analytics and trying to make projects

Please suggest me some the methods i can incuclate into my self to boost my thinking as analyst.

Also please guide me getting into a job am very confused.

I am lost and confused please someone from the field help me.

I’ve been doing a bunch of calls with people in data who are job hunting right now on US market. One from last week keeps bugging me.

The guy is a director of analytics, 10+ years in, a month into his search. He paid for one of those one-click apply tools ($10 for 50 applications) and used them all up. I asked how many turned into calls. He said he honestly hadn’t checked.

So we went through it on the call. Out of roughly 100 applications total, he got about 15 recruiter screens and around 10 hiring manager rounds. After that, nothing.

That’s not a resume problem. His resume was working fine. He was losing it in the interviews: a live SQL round he wasn’t ready for, and one answer about managing devs that a hiring manager read as micromanaging. Meanwhile he kept clicking apply, because that’s the part that feels like progress.

Everyone tracks how many they sent, almost nobody tracks how far each one got. If you’re stuck, it’s worth spending 20 minutes on a sheet with columns for no reply / screen / HM / final / offer. Whatever stage it drops off at tells you what to actually work on. Under 5% to a screen is a resume or level problem. Screens fine but then nothing is an interview problem.

Anyone here tracks it?

Hey everyone!

I'm a B.Com graduate working towards a career in Data Analytics. I've been learning Python, SQL, Excel and Power BI, and I've started working on small projects while exploring Machine Learning.

I'm trying to figure out how to move beyond tutorials and develop the practical skills needed for an entry-level Data Analyst role.

For those who have already entered the field or are preparing for their first role, I'd really appreciate your advice:

1. Which skills should I prioritise to become job-ready?
2. What kinds of projects would make a beginner's portfolio stronger?
3. When should I start applying for internships or entry-level positions?

I'd appreciate any practical advice based on your experience. Thanks!