A good CV does not have to be five or six pages long. What matters is whether the employer can quickly understand who you are, what you can do, and what value you may bring to the organisation.
One common mistake is adding everything to a CV. Old school activities, unrelated jobs, long descriptions, and every certificate can make the important information difficult to find.
A better approach is to adjust your CV to the job. If you are applying for a data analyst role, highlight data, Excel, SQL, Python, reporting, research, and related projects. If you are applying for a sales position, focus more on customer service, business development, communication, and results.
Your work experience should also show what you achieved, not just what your job title was. Instead of saying "responsible for preparing reports," explain what type of reports you prepared and how they were used.
Keep the layout simple. Use clear headings, readable fonts, and consistent formatting. Avoid adding unnecessary graphics that may make the document difficult for recruitment systems to read.
Also check for spelling and grammar mistakes before sending the CV.
Lesson: A strong CV is not the one with the most information. It is the one that makes the most relevant information easy to find.
