SAS Resume Tools

Posted by bkloss | Data Visualisation,SAS | Wednesday 4 February 2009 10:00 pm

Although you may consider yourself an Analyst, during your job search you need to think like a salesman . Every interaction with a prospective employer is a golden opportunity to sell yourself. Submitting a resume is equivalent to cold calling a client so stick your foot in the door by connecting quickly with the hiring manager. At a glance, this person needs to see what they’re looking for or else your resume will hit the bottom of the pile, or worse, the paper shredder.

The simple tools provided below turn any SAS Job resume into a targeted sales weapon. The first visualization displays the words that occur most commonly among 450 SAS job postings from and . Make sure you address each of these terms appropriately in your resume and personal statement. The bigger the word, the more commonly it was used- act accordingly. If you want to drill down even further, click on the layout drop down to increase the maximum number of terms shown.

These Visualizations work best in Fire Fox    ————-      Make sure to have Java enabled

So, you know what terms to target, now the question becomes, what do I say about them? Well, have no fear. The next tool displays exactly how keywords were used in our set of job descriptions. Take an important term and type it into the search bar. Hit enter and a tree will appear that shows you how the phrase was used in the job postings. As an example, a search for ‘SQL’ yields a tree that indicates companies are looking for people with knowledge of proc SQL, SQL programming and sql server. If I click on the next term in a brach the tree will again expand and I can see that job posts also reference oracle databases in the same sentence. This tool provides many examples of many related skills that company are looking for and can help the job searcher represent thier experience in a way that will have HR salivating.

1 Comment »

  1. Comment by ZanshinPost — March 9, 2009 @ 9:21 am

    This looks great.

    I am trying to develop a similar kind of application for my website where the software will create claims (factual statements) from an article.
    Currently I have developed the module to split a text up in ‘chunks’ and to create a frequency table.
    My next step would be to ‘recognize’ the words, for instance, find them in a dictionary.

    Any pointers for me?

RSS feed for comments on this post. TrackBack URI

Leave a comment