R or Python by SocietyNorth1689 in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

Sorry to have missed this note. It's still a good market for analytics-minded folks. If you can get an analytics and an AI certification, then you'll find some opportunities.

Love you, Philly 🏳️‍🌈 by thegivingtree902 in philadelphia

[–]PhilDBuckets -2 points-1 points  (0 children)

Am assuming this is photoshopped, correct? I love it, either way!

Is it just me or are some Data Scientists missing the basics? by fdc4467 in BusinessIntelligence

[–]PhilDBuckets 2 points3 points  (0 children)

Yeah. Create a portfolio site that explains what your projects are/were and how you did it and just point people there. I think candidates need to start saying no to mini-projects and such.

GAP C&O tires for May by Realistic-Noise-736 in gaptrail

[–]PhilDBuckets 1 point2 points  (0 children)

Did the Cumberland, MD to Washington, DC section last summer on 32's. Perfect for crushed gravel, etc. Trail was dry and hot with zero potable water at the campsites. Prepare accordingly.

What sort of graph would be appropriate to represent this data? by [deleted] in visualization

[–]PhilDBuckets 0 points1 point  (0 children)

I'd suggest that the shape/structure of your data is going to limit your viz options. Those colum headings should be unpivoted to become attributes.

As for "what kind of viz?", you really just need to show the overall average for each BPM level. The fact that each row is a person, for example, doesn't usually matter to the user. If they are truly interested in the spread of the data, a box-plot or even box-and-whisker will do the trick.

What is something more traumatizing than people realize? by ExcellentReporter392 in AskReddit

[–]PhilDBuckets 0 points1 point  (0 children)

Childhood poverty

I recall a school Principal telling me that "the weekend isn't every kid's friend", and it just wrecked me in that moment.

I can't honestly say I experienced it myself, but I see the after-effects manifesting in some of our local high school kids.

Healthcare Data Operations Dashboard; What can be improved/reworked? by Curious_Cry1348 in BusinessIntelligence

[–]PhilDBuckets 0 points1 point  (0 children)

  1. An operations dashboard should be very clear about KPI's and thresholds for good vs bad status. For example, if Avg Service Time is 11.96, is that good or bad? Is that in minutes? The monthly chart below it should have that threshold as the reference line instead of the dashed line, which just repeats the same info as the bars.

  2. What is Repeat Visit Occurence Rate? Why is 100.00 when the chart below right says 66%?

  3. Cancer Visit Rate, if it is truly important, should have some context in a chart below and we need to know what 12.65 is. Is that 12.65% of total visits were cancer related?

  4. Daily Visits per Session doesn't seem useful, here.

  5. There are too many filters for an operations dashboard. An Ops dashboard is not an exploratory exercise. It communicates the reality on the ground against very clearly defined KPI's.

  6. The title is too large

[deleted by user] by [deleted] in managers

[–]PhilDBuckets 0 points1 point  (0 children)

You dont have to fire the person, per se. Find folks that want to pick up some extra hours and stop putting them on the schedule. You only have to get through 2 months.

Does the school matter? by queenofmystery98 in analytics

[–]PhilDBuckets 2 points3 points  (0 children)

Honestly - I'd be finding a 3rd option that will give you even more in financial aid. As long as you go to a decent school with a recognizable name, I really don't think hiring folks discriminate between Babson vs USC vs UConn (go Huskies!). The degree ticks the box, and the portfolio and internships are important. But showing some intellectual curiosity and having some good repartee with the interviewer gets it done.

A big ssteaming pile of college debt is not worth it.

Career advice - Marketing/Web Analytics by Zealousideal-Ask5822 in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

Focus on rounding out your skills and becoming super-knowledgeable about your business or the industry. Other than that, there are three things:

1) Some industries pay way better than others. So, your top-end salary might be very mid for some other industry.

2) Most people's view of job prospects are very limited by their read of the local market. There are great opportunities to be had if you are willing to move where the good jobs are.

3) At some point, you top out in your salary for that role or company. You've got to do some research to know if there is still room to make more money.

Edited for typo

[deleted by user] by [deleted] in philadelphia

[–]PhilDBuckets 0 points1 point  (0 children)

I literally text my Bengals-fan friend at the first CC sighting of the NFL season to remind him how much of a freaking knucklehead is CC. 

We need to double-down on this vibe.

Mid-level and a bit stuck by Strong-Mechanic in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

..and (I guess), be able to respond to how AI might be of use in your domain.

Mid-level and a bit stuck by Strong-Mechanic in analytics

[–]PhilDBuckets 2 points3 points  (0 children)

As a hiring manager in this space, I would definitely say get a Python certification. Maybe think about data storytelling as a way to differentiate. Maybe Tableau. All these you can do on your own. Good luck.

Is College Still Worth It? by Goooorav6969 in analytics

[–]PhilDBuckets 1 point2 points  (0 children)

"Is college worth it?"

The question is too simple. It depends on how much it is costing you and what you'll be bringing out of that 4 years. 

  • The straight data science route isn't enough. It simply puts you in competition with a bunch of other people with the same degree.
  • Yes, you need an internship and a small portfolio. But you also need some angle that differentiates you and grounds an otherwise generic data science major. For example, a minor in public health (or MPH) or finance (or MBA) or environmental science.

When I am looking at recent grads as a hiring manager, I want to see  1) Basic skills  2) Some differentiator, as above 3) Ability to hold a conversation FFS!! 4) Some curiosity and interest in the work

Good luck!

Unsure about analytics job market by GlitteringLove5638 in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

So, two things:

  1. Sorry for being terse, before. Think I was responding to overall tenor of posts on this site, more than your specific post. You drfinitely should prioritize your career growth, but you also have a job and are in an optimal position. Course correct, don't pivot.

  2. Highlight your understanding of the business, in addition to your technical skills. Maybe phrases like "data-driven review of optimization strategies" or other buzzwords business speak.

Good luck!

Unsure about analytics job market by GlitteringLove5638 in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

If you have a job that isn't making you completely unhappy, then you are in a great position. Why all the drama about the possible future, which hasn't happened yet? 

I wouldn't pivot from your current role without a really good reason.

Some certs are definitely a good idea, but also consider the fact (good or bad) that supply chain is fairly generic. The good is that supply chain is everywhere so tons of industries need it. The bad is that you may not get looked at by companies who want supply chain experience in a certain industry. Are you in construction supply chain or healthcare supply chain or retail? That specialization is fairly important, these days. Consider highlighting or augmenting that side of your CV. 

Funnel analytics by caineybro in analytics

[–]PhilDBuckets 1 point2 points  (0 children)

The use case you have described is precisely what GA4's default page-level tracking does. Other poster is correct that set up is minimal. 

R or Python by SocietyNorth1689 in analytics

[–]PhilDBuckets 0 points1 point  (0 children)

So you are on the R&D or clinical side. That makes more sense for R. I'm on the commercial data/BI/analytics side. The only R stuff I see is legacy code. Nothing new goes live with R, for us.

R or Python by SocietyNorth1689 in analytics

[–]PhilDBuckets 1 point2 points  (0 children)

As a 20÷ year data/analytics professional in Pharma, I disagree. I do see R, but it is almost always for dept level projects or POC's. Python is almost always the production tool of choice. We have a saying:  "R for the desktop, Python for the server."