VizWiz

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January 5, 2015

Makeover Monday: Top 20 Industries Hiring Big Data Experience

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Friend of mine, friend of the blog and genuine good guy Jeffrey Shaffer sent me a link to this Tweet for today's Makeover Monday:


What a mess! Some quick thoughts:
  1. It's a pie chart
  2. Way too many slices
  3. Doesn't start at 12 o'clock
  4. Too much precision on the numbers
  5. Too many colors (see #2 above)
  6. The category names are too long
I quickly threw this into infogr.am and change it to a bar chart of the top 5.


The changes I've made:
  1. Changed the chart type to a bar chart
  2. Displayed the top 5 and then everything else is grouped together and ranked last
  3. One decimal place on the numbers is plenty; no decimals would work fine too
  4. Colored "All Other" differently so that it would be more noticeable that it's not a single item
  5. Shortened the category names
If infogr.am allowed it, I would also remove the column divider line and remove the axis.

November 4, 2013

Data Viz, Facebook, and you. Join our awesome team!

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On our Data Warehousing & Reporting team, we're looking to bring on full-time employees, contract-to-hire, and/or full-time contractors.

An overview of the role can be found on Facebook Careers.

It's been quite challenging to find strong candidates.

Why don’t people meet the bar?

  • Overstating Tableau skills
  • Overstating SQL skills
  • Too much dependency on tools to do the thinking
  • Lack of product sense
  • Too much dependency on data engineers

Having been through them, I can honestly tell you that interviews at Facebook are tough.  We will test your limits.  We don't expect everyone to know everything, but we do expect you to do your best to work through problems and ask questions when you don't know the answers.

It's clear that we want you to know SQL, yet we have candidates come in that haven't done anything to come up to speed on SQL.  All that does is show us that you didn't take the initiative to learn beforehand when you knew it was a weakness.

What makes a good candidate?
  • Strong ability to tell stories with data
  • Strong in data visualization
  • Competent in SQL
  • Be able to demonstrate excellent product sense (i.e., Can you pick up products goals, concepts and requirements quickly?)
  • Tool-agnostic critical thinkers
If you think you'd be a good fit or if you want to chat in more detail, email the Facebook Data Viz team.

June 9, 2013

My agenda for #TCCEU13. Did I mention we’re hiring?

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#TCCEU13 is now nearly upon us.  I have two primary objectives for this conference (in this order):

  1. Find a BI Engineer.  We’re actively look for a BI Engineer to work out of our Dublin office.  This person will be the first BI Engineer in our Dublin office, so you’ll have a ton of freedom to make the job what you want it to be and to build the team there.
  2. I’ll be speaking along with my colleague Namit Raisurana.  Come see our session in the Westminster Ballroom at 11:30 on Wednesday.  It looks like Tableau learned from #TCC13 in San Diego and moved Facebook to the big room.  The crowd better turn out.  We have swag to give away.

Similar to all previous Tableau conferences, it’s hard to decide which sessions to attend because there are so many great topics and speakers.  I’m shooting for:

Tuesday
* 9:15-10:45 – Keynote (Christian Chabot and Chris Stolte)
* 11:00-12:00 - Targeted Marketing: Turning Visa Data into Actionable Marketing Insights (Simon Gatenby, Visa)
* 12:30-1:10 – Rapid Fire Tips & Tricks (I’m debating presenting something)
* 1:15-2:15 - Show Me the Money: Data and its Visualisation, Post-Financial Crisis (David Bholat, Bank of England)
* 2:30-3:30 - Genomes, Tableau and Huge Data at the Wellcome Trust Sanger Institute (Matt Francis, Welcome Trust Sanger Institute)
* 3:40-3:50 – Rapid Fire Tips & Tricks: When is PowerPoint Tableau and When is Tableau PowerPoint (Craig Bloodworth, Zen Master, The Information Lab)
* 4:00-5:00 - Exploring Data, Generating Insight & Driving Action at Barclays (Carl Allchin, Peter Gilks and Lee Mooney, Barclays)

Wednesday
* 9:00-10:00 - Keynote: How Data Intake is Like Dietary Nutritional Consumption (JP Rangaswami, salesforce.com)
* 10:15-11:15 - Getting From Data to Decisions: Decreasing Time to Capability at Cisco (Dan Murray, Interworks; Paul Laza, Cisco; Rob Higgins, Cisco)
* 11:30-12:30 - Creating a Culture of Data at Facebook (Andy Kriebel and Namit Raisurana, Facebook)
* 12:30-1:10 – Rapid Fire Tips & Tricks
* 1:45-2:45 - Keynote: Future Global Trends: A Fact-Based View (Hans Rosling)

If you’re going to the conference, come find me…especially if you’re interested in talking about coming to work at Facebook.  Find me on Facebook or Twitter and let’s grab a drink.

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