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Do’s and Don’ts for Creating a Strong LinkedIn Profile

↗ Quelle (dev.to)
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Here is a set of 𝗗𝗼'𝘀 and 𝗗𝗼𝗻'𝘁𝘀 for creating a strong LinkedIn profile, especially if you're currently job hunting. The following key tips and examples show how to structure your profile to make a good impression on recruiters, and increase your chances of being discovered for relevant roles:



𝟭. 𝗣𝗿𝗼𝗳𝗶𝗹𝗲 𝗣𝗵𝗼𝘁𝗼

• 𝗗𝗼: Choose a photo with good lighting that clearly shows your face. It should look professional, ideally like a headshot.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: A well-lit, high-resolution image with a simple background where you’re dressed professionally.

• 𝗗𝗼𝗻’𝘁: Use a group photo or something too casual.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: Avoid pictures taken in social settings, with multiple people, or where your face is hard to see.



𝟮. 𝗛𝗲𝗮𝗱𝗹𝗶𝗻𝗲 𝗮𝗻𝗱 𝗝𝗼𝗯 𝗧𝗶𝘁𝗹𝗲𝘀

• 𝗗𝗼: Use precise job titles and relevant keywords that match the roles you’re seeking.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: Instead of just “Data Analyst,” you could say “Data Analyst | Data Visualization Specialist.”

• 𝗗𝗼𝗻’𝘁: Avoid generic terms or too many buzzwords.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: Phrases like “Strategic Data Wizard” can be confusing and may make it harder for recruiters to find you.



𝟯. 𝗔𝗯𝗼𝘂𝘁 𝗦𝗲𝗰𝘁𝗶𝗼𝗻

• 𝗗𝗼: Start with a strong hook and include measurable achievements. Always write in the first person.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: “I’m a data analyst with a passion for uncovering insights. At [Previous Company], I led a project that improved efficiency by 30%, saving the team 200+ hours per month.”

• 𝗗𝗼𝗻’𝘁: Write an autobiography or use a generic, impersonal template.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: “I am a dedicated professional with skills in data analysis and visualization.”



𝟰. 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗦𝗲𝗰𝘁𝗶𝗼𝗻

• 𝗗𝗼: Use action verbs and quantify your impact, following the formula: 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗲𝗱 [𝗫] 𝗮𝘀 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗱 𝗯𝘆 [𝗬] 𝗯𝘆 𝗱𝗼𝗶𝗻𝗴 [𝗭].

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: “Enhanced reporting accuracy by 15% by implementing advanced analytics tools and streamlining data sources.”

• 𝗗𝗼𝗻’𝘁: List duties without explaining the results or be overly detailed without purpose.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: “Worked on data reports and dashboards.”



𝟱. 𝗦𝗸𝗶𝗹𝗹𝘀

• 𝗗𝗼: Add as many relevant skills as possible. These are keywords that help recruiters find you.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: Data Analysis, Data Visualization, Business Intelligence, SQL.

• 𝗗𝗼𝗻’𝘁: Include only generic soft skills like “Good Listener“ or “Team Player.” Focus more on hard skills.



𝟲. 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀

• 𝗗𝗼: Request recommendations from colleagues who can speak to specific skills or projects.

• 𝙀𝙭𝙖𝙢𝙥𝙡𝙚: A former manager writing, “She significantly improved our data accuracy by 25% through her attention to detail.”

• 𝗗𝗼𝗻’𝘁: Ask for recommendations from people who don’t know your work well or exchange recommendations without genuine interactions.

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