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It's great that you have lots of data to be able to analyze, but I think you've missed the point with that you're analyzing. I'm not sure what the visualizing i
by wmab 8y ago
It's great that you have lots of data to be able to analyze, but I think you've missed the point with that you're analyzing. I'm not sure what the visualizing is doing to offer any insight? Just graphs of months where it goes up or down at a slight varied rate, and a geo graph showing that (obviously) CA and NY have the most job openings?
I think the only interesting "insight" (If you could call it that) is the popularity of different technologies (though not how its changed in 2018 vs 2017, or how it differs by company, or salary range).
Who's the audience - those looking for jobs in startups? Those who research the industry? Job posting sites use their data as a leading economic indicator - can you point to anything in this realm from this data?
Analysis that would make this more insightful and actionable would include:
a) Show the data compared to previous years, to say for example if hiring by month was actually cyclical
b) Jobs by startup - ie, what percentage of Carvana jobs are eng, sales, finance etc
c) No salary information analyzed - probably the most interesting data is missing
d) A table of top 10 countries by no. postings vs their previous year would give more info to your geo graph
e) Is startup appetite for remote workers growing over time? As a number of jobs and as a percentage of jobs - and what areas are there higher % of jobs going to remote workers?
A good example of a valuable data company is Statista [1] (links to how a geo graph works with a table), where they have this sort of data over a longer time horizon - which provides more actionable insights (eg, is my industry growing, what is the penetration rate?).
If there were more ways this pie was sliced then I could see many interesting insights coming from such a useful dataset!
[1] https://www.statista.com/outlook/15000000/109/consumer-electronics/united-states#market-globalRevenue https://www.statista.com/outlook/15000000/109/consumer-elect...
- marckohlbrugge 8y agoThese are some great points. I appreciate you taking the time to write them down. I'll see which of them I can implement. a) Comparison with previous years will be totally doable. As a quick hack you can simply compare with https://startup.jobs/trends/2017 https://startup.jobs/trends/2017 – but I understand ideally you want the graphs to show the comparison. b) Jobs by Startup. This is indeed something I'm planning to add to the Startup pages like http://startup.jobs/@carvana http://startup.jobs/@carvana c) I agree salary information would be super interesting. Unfortunately very little of that is public information so I simply don't have it. d) Data goes back to mid 2016 so we don't have a ton of historical data. But for next year I could look into historical line graphs for top 10 companies. e) I like the idea of cross referencing sector/skill and remote work. I do have the data to compare e.g. engineering jobs versus communication/PR jobs in terms of remote job openings. Thanks again!
- wmab 8y agoThanks for this, yes I think these could be good ideas. Just quickly on d) I meant it would be visually useful to see a table showing the data for the top 5 or 10 countries too, or else you have to hover over each country to see, and then you could show vs 2017 to see if there has been a large increase in a given country for example. Understandable about salary data, a shame though! Thanks a lot!