Oftentimes when looking for employment, many job seekers take that plunge to create the perfect (or not so perfect) resume to begin their job search. You may find yourself struggling to remember all of your duties from a job you held four years ago, searching through old e-mails to pull from previous job descriptions, or just pulling all of your old resumes and simply combining it into one main resume. GUESS WHAT???? That will definitely keep you unemployed.
To be successful and effective in your job search, job seekers should make sure to draft more than one resume that is specifically catered to the position that you are applying for. If you find that you have several career goals/passions, do not pigeonhole yourself by placing such a vast amount of information into one resume. It is a great idea to have resumes that have specific career goals, such as resume catered to Human Resources, another resume catered to the nonprofit sector, etc. Gone are the days of just sending the exact same resume to every company with job openings. According to Kim Isaacs, Monster Resume Expert, "If you have more than one career goal, the best strategy is to develop multiple resumes that target your different objectives". Stay clear of the "one-size-fits-all" resume! If you would like more information regarding creating more than one resume, click the link below: Article Source: http://career-advice.monster.com/resumes-cover-letters/resume-writing-tips/more-than-one-career-goal/article.aspx
3 Comments
Kristy
5/19/2011 06:50:14 am
Many companies are using search bots, to scan a database of resumes for keywords. I second the idea that "one size fits all resumes" are no longer sensible - take keywords from the job description and incorporate them into your resume.
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5/19/2011 07:42:25 am
Thanks for your comment Kristy. Another good way to identify keywords is to use a word cloud. Word clouds have the ability to identify word frequencies amongst text that can be used in your resume. Check out TagCrowd.com, "a web application for visualizing word frequencies in any text by creating what is popularly known as a word cloud, text cloud or tag cloud."
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