this post was submitted on 28 Sep 2025
162 points (97.1% liked)

Data is Beautiful

6856 readers
1 users here now

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

  A post must be (or contain) a qualifying data visualization.

  Directly link to the original source article of the visualization
    Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
    If you made the visualization yourself, tag it as [OC]

  [OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.

  DO NOT claim "[OC]" for diagrams that are not yours.

  All diagrams must have at least one computer generated element.

  No reposts of popular posts within 1 month.

  Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.

  Posts involving American Politics, or contentious topics in American media, are permissible only on Thursdays (ET).

  Posts involving Personal Data are permissible only on Mondays (ET).

Please read through our FAQ if you are new to posting on DataIsBeautiful. Commenting Rules

Don't be intentionally rude, ever.

Comments should be constructive and related to the visual presented. Special attention is given to root-level comments.

Short comments and low effort replies are automatically removed.

Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.

Personal attacks and rabble-rousing will be removed.

Moderators reserve discretion when issuing bans for inappropriate comments. Bans are also subject to you forfeiting all of your comments in this community.

Originally r/DataisBeautiful

founded 2 years ago
MODERATORS
 

Context: Searching for a new senior level software development job over a 9 week period in summer 2025.

  • Focused mostly on data engineering and backend roles that are in-person or hybrid in the SF Bay Area.
  • Leads from recruiters on LinkedIn were much more likely to lead to interviews+offers.
  • The winning offer came through my personal network.
  • I mostly used Hiring.cafe for prospecting. They're a scraper with an interface I didn't hate.
you are viewing a single comment's thread
view the rest of the comments
[–] pixxelkick@lemmy.world 9 points 3 days ago (2 children)

Usually these sorts of results are an issue with your resume or cover letter.

As someone on the other end, the sheer amount of applications I get means any resume that isn't setup correctly can just go straight into the bin and I still have hundreds of good resumes to work with.

If the majority of your applications get rejected/ignored BEFORE a screener that means your resume or cover letter is improperly formatted or something is wrong with them that triggers an auto reject

[–] Aedis@lemmy.world 10 points 3 days ago (1 children)

This sounds like it might be true for you but isn't for others. I'd hesitate to say this is the norm.

I've put my resume through multiple parsers and made it as best as I can. I've gone through phases where I've tailored my cover letter down to every single miniscule details and saw the same results as OP, or pretty similar.

so you're either talking bs or you're in a different field where it does matter

[–] pixxelkick@lemmy.world -4 points 3 days ago

Or.. I know what I'm talking about maybe.

For perspective, I sit at around a 40%-50% callback rate on my submissions to go to screening, when I'm looking for a job.

[–] blarghly@lemmy.world 5 points 3 days ago (1 children)

What are the things that would be wrong?

[–] pixxelkick@lemmy.world -3 points 3 days ago

Formatting is honestly a big part. Left align what matters.

Too wordy, missing key details, too big, too small, etc

Missing they key words the job posting covers. If the job posting talks about Node and angular and your resume doesn't explicitly namedrop them, then it loses a tonne of points.

Usually the majority of resumes that pass the sanity check then go to screening. You'd be surprised how many people just screw up basic stuff.

Every single time I've had someone complain to me about job offers, I'll grab a random job posting I find and ask em to send me the version of their resume + cover letter they would send to that specific posting.

Quite often within a min or two I can find several reasons why their resume would've gotten bin'd