Iโm sorry but paying 6 figures in naira for a meal that English people would pay less than a tenner for in their country will never not be hilarious to me loool ๐
One insight: Senior data roles consistently earn more than analyst positions, while salaries vary widely across countries.
Dashboard:
https://t.co/SfmzFENT8S
#Excel#DataAnalytics#Dashboard#DataViz
๐ Built an interactive Data Jobs Salary Dashboard in Excel!
Skills used:
๐ Charts
๐งฎ MEDIAN(), FILTER(), SEARCH()
โ Data Validation
๐ Dashboard Design
The dashboard lets users explore salaries by:
โข Job title
โข Country
โข Schedule type
In the interview for hiring this guy, I started with a SQL question. He said "that's a dumb question."
Naturally I was taken aback by that response. "OK, let's move on then."
He was in his early 40s and had a pretty old-school stats background, so I figured a barrage of tough questions about linear regression, t-stats, etc. was fair game. He was playing a double-or-nothing game. What's crazy is he got every single one right without thinking, almost like he was reading off an answer sheet. I was impressed. You're hired buddy. I still to this day disagree that it was a dumb question, but I secretly loved his unrelenting willingness to be disagreeable.
In the first couple weeks he took on a massive project that touched every single part of the company, just reconciling data science team's internal sources of truth to our accounting. He put all the comparisons in Google Sheets broken out by month, held a meeting, pointed out all the differences, asked people to work on reconciling them. Nothing fancy, just honest to god work with a strong helping of elbow grease. Suddenly all these nerds in the meeting who can tell you what a "convolutional neural network" but can't be assed to make sure their data is of a good quality are looking a little silly. This guy learned *all* of their table schemas and their quirks, and in basically no time, figured out all the errors.
He was a good contributor to the company for a while and garnered the respect of all the other data scientists. But all good things must eventually come to an end. In his case, he went out the way he came in: by being a disagreeable asshole. He challenged management on some internal document. He was 100% correct, by the way. But management didn't want someone calling out their bullshit. 2 weeks later he was let go.
Best data scientist I ever worked with.
If you're a creator on X and your growth has stalled โ It's probably not your
content. It's that you're posting without data. Let me show you what changes
when you actually know what's working: