Most international students don’t realize this early enough. They focus on tools, not outcomes. On listing skills, not showing impact. Let me explain…. Two candidates applied for a data role. Both had similar skills - SQL, Tableau, Python. But only one got the call. Why? Because while one listed tools…The other showed results. Here’s the framework that makes the difference: What you did – How you did it – What impact it had ❌ “Built dashboards using Tableau.” ✅ “Created dashboards using Tableau for the finance team (What), by automating weekly reporting with filters and visual KPIs (How), which saved 8 hours/week and improved decision-making speed (Impact).” ❌ “Worked on data cleaning.” ✅ “Cleaned and standardized vendor payment data (What), using Python and Excel to process exports from SAP (How), resulting in 20% higher invoice accuracy and fewer downstream payment issues (Impact).” Same work. Different framing. One showed impact. Hiring managers think like this: Can this person help me or my team do our work better, faster, or smarter? If your resume or LinkedIn profile answers that…You’re already ahead of 80% of applicants. Before you apply, ask yourself: ✅ Did I save time or effort? ✅ Did I fix a messy process? ✅ Did my work help someone make a better decision? If yes - highlight that clearly. Because in the end, it’s not about being perfect. It’s about being useful. If you found this helpful, feel free to ♻️ repost it with others who might benefit. Follow Mohammed Wasim Wasim for more job search tips, resources, and advice tailored to international students! #jobsearch #cfbr #internationalstudents
Analytical Skills To Highlight On A Resume
Explore top LinkedIn content from expert professionals.
Summary
Highlighting your analytical skills on a resume goes beyond listing tools or buzzwords. Employers are looking for specific examples of how you've applied your skills to solve problems, save time, or drive impactful results.
- Show measurable results: Instead of just naming tools or processes, describe what you achieved using them, including quantifiable outcomes like time saved, costs reduced, or efficiency improved.
- Turn skills into actions: Integrate your analytical skills into your work experience by showcasing real-world scenarios where you used them to create value, making your contributions tangible and credible.
- Focus on relevance: Tailor your resume to the job by emphasizing analytical skills and achievements that directly align with the needs of the role or company you're applying to.
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Data Job seekers - straight talk. The ONLY purpose your resume serves is to help get you through the door for an interview. Here's how it can make me an offer I can't refuse... Generally, resumes fall into three categories: 🔸 Claim - these resumes claim a lot of skills (think courses and certificates) and a mix of education and experience, that may or may not be directly related to the position I'm recruiting for. My response - too risky. I have to project from very incomplete info how the candidate would perform on the job, and and even a strong interview won't give me sufficient info to be comfortable taking that risk. 🔸 Demonstrate - these resumes are focused on highlighting skills directly relevent to my position, and substantively demonstrating that the candidate possesses those skills through relevant portfolio projects. My response - promising. The best of these resumes connect the dots between the candidate's strengths and my needs, and minimize my uncertainty via projects that back up the strength claims. 🔸 Teaser of Credible Proof - the frontrunners do everything the prior group does, but also provide me a credible peek at a quantified value proposition I'd be a fool to ignore. Here are some examples, based on actual applications: 🔹 Automated the cleaning of a local business' customer data, saving 84+ hrs/yr, reducing postage costs by $1K+, and increasing redemption of discount offers by 7%. 🔹 Analyzed the composition of successful and unsuccessful grant applications for a local non-profit using AI tools. Performed a statistical analysis of the results, identifying tangible recommendations projected to increase grant success rate by 17-21%. My response - when are you available to interview? What makes these "teasers" so compelling is that they are credible, specific, confirmable, and easy for me to imagine the analyst achieving similar results here. I know what some of you are thinking. Sure, that's great for experienced analysts, but what about students and freshers? I would say the above examples are absolutely achievable by anyone with the drive to do so, regardless of work experience. Do you have friends or family who are small business owners? Is there a local small business you frequent that would welcome the insights that your data skills could provide? Do you have a particular cause or charity that you contribute to and/or volunteer for? Consider volunteering your data skills - nonprofits are often data-rich but analysis-poor, which represents a fertile combination for you to achieve impressive outcomes. If you have the skills to produce a quality portfolio, then you have the skills to achieve real-world results that will knock the socks off a Hiring Manager, especially when they talk to the satisfied clients who have already benefited from your work. Trust me - having that story to tell puts you in a whole different class of candidate. #career #hiring #resume
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Quantifying the impact you have as an analytics engineer, on your resume, can be tough. 🚫 “Built a custom ETL process that facilitated analysis for marketers.” That sounds alright, but it lacks any numbers that show just how much you helped, how big of an impact you had, etc. One of my favorite numeric impacts to list on my resume is around query optimization. ✅ “Optimized data model execution time by 82%, while decreasing CPU utilization by 21%”. This paints a clear picture in the recruiters mind and makes your claims more substantiated. It also shows that you have decent technical skills. Anyone can write a query with ChatGPT. A good engineer will know their systems’ bottlenecks and find ways to improve them. What’s your favorite quantifiable skill to list on your resume? #analyticsengineed
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More than 90% of résumés have a skills section, but it’s useless unless you do this. Listing skills isn’t enough. Your résumé needs to prove them. Too many résumés have a generic skills section that looks like this: ➣ Teamwork ➣ Communication ➣ Leadership ➣ Data analysis Sound familiar? The problem? Anyone can list these skills. What sets you apart is showing how you applied them. ********************** 🔹 Turn skills into achievements → Hiring managers don’t care about what you claim to be good at → They care about results. ✖︎ weak: Project management ✔︎ strong: led a team of 5 to deliver a $500k project 2 months ahead of schedule ✖︎ Weak: Data analysis ✔︎ Strong: Analyzed customer data, reducing churn by 30% through predictive modeling ✖︎ : Public speaking ✔︎ Strong: Delivered keynote at APH conference, engaging 200+ industry professionals 📌 If a skill isn’t backed by a result, it’s just a keyword. ********************* 🔹 How to fix your résumé today → Integrate skills into work experience ↳ Show how you applied them in real situations → Use metrics and results ↳ Numbers add credibility and impact → Customize for the job ↳ Match your skills to what the company actually needs Your skills don’t get you hired! Your impact does. ✅ Don’t just list skills; prove them ✅ Hiring managers don’t want buzzwords, they want evidence what’s the most overused skill you see on résumés? ♻️Repost for others #careerprogress #résumétips #jobsearch #skills #hiring