With these discrepancies, the candidate is only employee data revealing his poor attention to detail (and perhaps also the veracity of the data that makes its way into his resume and his LinkedIn profile). 5. No one has time for excessively dense and long summaries In the summary of their LinkedIn profile, the candidate must put themselves in the shoes of a "copywriter" and summarize with attractive words and succinctly their professional profile, what makes employee data them to a certain extent unique in the labor market. 6. The title of the profile matters more than it seems a priori Taking into account that some companies access the candidate's LinkedIn profile from Google, it is vital that the title (the line that appears immediately after the name) is provisioned with the appropriate employee data keywords and accounts for the position and the industry in which the applicant for a job unfolds professionally. 7.
Get rid of jargon If the candidate chooses abstruse employee data titles like “supreme conveyer of IT knowledge” or “social media ninja” for their LinkedIn profile, it is very likely that the company does not really know what they do. It is important to employee data make clear what your job consists of and what the company that has you on the payroll does. 8. That the candidate is active on LinkedIn definitely adds points If the candidate is actively employee data involved in the job search, they should strive to show some activity on LinkedIn in the form of posts, shares, and comments.
In addition, it is a good idea to also share links to employee data articles written by the candidate himself to provide companies with examples of his work. 9. Recommendations are fine, but they are not everything Recruiters won't be swayed by recommendations unless they are short and succinct and really put the candidate's strengths in the employee data spotlight. 10. Proclaiming to the rooftops that you are looking for a job helps Using the “Open Candidates” option on LinkedIn, the candidate can privately let companies know that they are actually looking for a employee data job and thus detect possible job offers.