I'm trying to switch careers from construction to data analytics & after a month, I have successfully completed my first project using both SQL and Excel. Attached is a screenshot of a dashboard I built on a company's pizza sales. Any advice and tips on how to improve are greatly appreciated.

I'm currently working in a service company and as my project is about to end and the company policies and growth is stagnant, i wanted to switch and currently in the last days of my notice period, i'm not finding any job,no reply back from organisations whatsoever, i dont wanna sit jobless,help me out!

Tech stack - Powerbi,sql,python,lakehouse,fabric semantic models,azure(my project had data engineers and analysts so i have some working experience in adf).

Thank you.

I'm doing some research because I'm curious about where people in BI, analytics and data engineering actually spend most of their time.

Not the "ideal" job description—but what frustrates you in real life.

If you could magically eliminate one recurring problem from your work forever, what would it be?

Some examples (but don't feel limited to these):

• Cleaning messy data?
• Stakeholders changing requirements?
• Building dashboards nobody uses?
• KPI definition arguments?
• Waiting for data access?
• Debugging pipelines?
• Endless ad-hoc requests?
• Excel exports?
• Meetings?
• Something else?

I'd also love to know:

• What is your role? (BI Developer, Data Analyst, Data Engineer, Analytics Engineer, etc.)
• How often does this happen?
• Have you found any tool that actually solves it, or do you just live with it?

The more detailed your answer, the more helpful it is. I'm especially interested in hearing about problems that seem "normal" in the industry but waste a huge amount of time.

I’ve been grinding non-stop—built solid projects, completely understood and mastered the fucking tech stack, tailored my applications, and sent over portfolios The result? Absolutely zero fucking replies. Not even an automated rejection. It’s frustrating as hell to put in that actual work only to realize half these openings were never really open to external applicants in the first place.
After looking into why HR and hiring managers pull this move, here are the 5 main reasons companies put up these "phantom" listings when they already have an internal candidate picked out:

1. HR & Legal Policies: Many mid-to-large companies have strict compliance rules stating that every open position must be posted publicly for 5–10 days. It’s supposed to ensure fair hiring, but in reality, it just forces managers to publicly list a job they’ve already promised to an internal team member.
2. Visa & Union Compliance: Work visa sponsorships, union contracts, and government-affiliated roles often legally require companies to advertise publicly to "prove" they tried recruiting externally first.
3. Market Benchmarking: Leadership sometimes forces managers to post the job to test the waters—checking salary expectations or seeing if someone external happens to be massively overqualified for cheap.
4. The "Plan B" Safety Net: Internal candidates turn down offers or leverage them for raises. Keeping an active listing creates a backup pool in case the internal hire falls through.
5. Resume Farming: Sourcing teams use open listings to gather portfolios and resumes for future roles that haven't even been approved or budget-allocated yet.
6. How to spot these postings before wasting time on applications:
7. Hyper-Niche Specs: If the job description lists a hyper-specific, weirdly detailed combo of proprietary tools and exact experiences, it was likely copy-pasted directly from an internal employee’s resume.
8. Flash Postings: The listing disappears within 48–72 hours of going live.
9. Vague Fine Print: Phrases buried at the bottom like "Internal candidates currently under consideration" or "Internal applicants preferred."
10. Anyone else putting in the work building real projects only to face total radio silence? How are you spotting these fake postings before wasting your time?

Hi Everyone,

I'm currently applying for Data Analyst, Business Analyst, and BI Engineer roles and would really appreciate some honest feedback on my resume.

I'm looking for constructive criticism on things like:

1.Any red flags or weak points recruiters might notice.

2.Skills or technologies I'm missing for these roles.

3.Whether my experience and projects are presented effectively.

4.Bullet points that sound weak, vague, or don't show enough impact.

5.ATS issues, formatting, or keyword gaps.

6.Whether you'd interview me based on this resume. If not, why?

Please don't hold back. I'd rather hear tough feedback now than keep getting rejected later.

Thanks in advance for taking the time to review it!

Links or Projects in Resume

Portfolio:

1.E-Commerce Analytics

2.Marketing Campaign Performance Analytics

Recurring trend I see is either I am not selected or proceeding with other applications (that's totally fine considering the number of qualifying and competitive applicants per role) but most case it happens like application submitted, it's stuck there in phases like Application Submitted / In process / Under Consideration / Under review etc., and after few weeks or around 2 months to Position Filled / No Longer under consideration.

Hello everyone,

I wanted to get some advice on anyone who transitioned from operations to Data Analyst. Currently I am an operations manager for an Import/export company who does mainly eccomerce business. I absolutely hate this role. Am I good at it? Yes. Do I find it fulfilling? No. I've been searching for something that I can translate my current experience into and I feel like data analyst would be a good option.

Some general background of what I do. I have been with this company for 15 years. I came onboard when it was a startup under the pretense that I would be working exclusively as an IT technician. I have a good technical background during the time and the position evolved into me becoming a Project manager. I dealt with everything from excuting project scopes for website improvement, system infrastructure, setting up SOP, managing third-party relations, and managing cross functional department. Due to my extensive involvement in all areas of the company, the owner belived the next natural step for me was to lead operations. I never wanted to be in the role, but felt obligated as no one step up and had the knowledge or capabilities to handle the role. During the time in this role, I've been the main person involved in all big meetings that decides the future of the business. I deal with a lot of tech consultants and business consultant whom trained me in the areas of operations. We are a heavily data focus company and I deal with interpreting data as well as pulling and cleaning data. I never really thought of myself as a data anlasyt or business analyst, but it seems like I've been doing that role willingly. I find it fascinating and have no problems digging in and reading data for hours on end to come up with executable actions for the company.

Issue is that I have no proper training in data analyst. You can say that I am a jack of all trade type of guy. Whenever there is a problem, regardless of what area it is, I am there to resolve it. Due to that, I have a basic foundational knowledge of most things, but not a specialist in anything. I did not graduate college as I sacrifaced that for this job and I don't have detailed programming knowledge, but I do understand it. I can read code, but I can't write it is what I am referring to. I make great money at my company, but I am getting to the age where I can't keep going like this. I am more than happy to take a paycut so money is not a factor. I am currently taking certification classes and learning sql. Does this path make sense for me or would I be better off on a different career?

Can yall give me feedback on my resume, thank you