Mature workers can find job search success by emphasizing the qualities that set them apart from other workers. CareerBuilder offers these tips:
- Highlight professional and personal experience – When updating your resume or interviewing for a job, think about your experience in terms of both work-related and life skills. Whether it's your strong leadership skills or your wherewithal to weather a tough economy, use your age to your advantage and play up the strengths that come with having more years under your belt.
- Stay current – Workers of all ages are going back to school to increase their marketability. Attending seminars and workshops or taking formal courses is a great way to keep your skills up to date and can come in handy during an interview.
- Find new ways to benefit the company – If you're looking to stay with your current company beyond retirement, come up new ways to contribute to the organization outside of your day-to-day tasks. Running mentorship programs or training new hires are examples of how some mature workers have reinvented themselves within their organizations.
- Utilize your network – Being in the workforce for an extended time gives you the advantage of a broad professional network. Whether it's offline or online, reach out to former colleagues, vendors, clients, etc. to see where opportunities may arise.
- Consider part-time or freelance work – Fifty-two percent of workers age 60-plus said they will most likely work part-time once retired. Check out job boards, staffing firms and other resources for part-time, freelance or temporary work.
This survey was conducted online within the U.S. by Harris Interactive
on behalf of CareerBuilder among 2,611 hiring managers and human resource professionals and 682 workers age 60 and older (employed full-time, not self-employed, non-government)
between November 1 and November 30, 2012
(percentages for some questions are based on a subset, based on their responses to certain questions). With pure probability samples of 2,611 and 682, one could say with a 95 percent probability that the overall results have a sampling error of +/- 1.92 and +/-3.75 percentage points, respectively. Sampling error for data from sub-samples is higher and varies.
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