since yu been gone

I am a horrible blogger. It’s been, what, 7 months?

My last post was at the start of the JLF. I can’t do justice to the mind-blowing things I learned and the incredible people I met, even if I wrote a book, so this sentence will have to do.

Kelly Clarkson GIF - Find & Share on GIPHY

In those 7 months:

  • recovered from a serious injury
  • wrapped up the john lewis fellowship
  • came back to my job and started studying some coding languages late at night + job-hunting
  • got a new job @ the same company

I started thinking about my next job move in December 2015. I Skyped people, asked for opinions, read books, made lists, used the career mapping tools on 80,000 hours (highly recommend), and ultimately was deciding between other consulting roles and data analytics-focused roles.     Then I went off to Atlanta for the summer. One of the speakers worked for Atlanta on city planning, and demo’d interactive maps & tools showing demographics that would inform planning decisions as well as identify areas of inequality.

My reaction “Dude, I wanna do that! analytics is a powerful tool for accountability” + 80,000Hours’ career guide + other research I was doing + study of the job market (part of my old job) —> decision to pursue data analytics even though I do not have a quant background at all and the odds would be small —> studying R + chance conversations that were blessings from above + an interview process I was sure I failed —> I started my new job in Workforce Analytics effective Jan 1, so it’s a nice cap on 12 (twelve!) months of thinking and hours of late night/weekend studying and preparation.

 

fullsizerender-2

my desk. i get to work for the people who wrote this book!

One of the things (besides the huge amount of learning) that makes me particularly excited about this analytics role is that this group does an enormous amount of pay equity analysis – testing to see if there are pay differences by gender or race/ethnicity.

Other org’s doing cool things with data (#goals… one day): datakind. data science for social good @ uchicago.

a blurb on When Women Thrive research by one of the authors. quoted in 2014 NYTimes article on pay equity. When Women Thrive. Oliver Wyman publishing an overview by some of the partners/principals.

 

 

 

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s