Malika Ali’s Post

I came across a job posting for a Data Analyst role recently, requiring just 0-1 year of experience. What blew my mind was the number of applicants—over 14,000 people for just one position. This really made me stop and think about how competitive the job market has become, especially for freshers. It’s not just about having the right qualifications anymore; standing out in such a massive crowd feels like an uphill battle. It also raises some big questions—are there enough opportunities for entry-level talent? Are companies doing enough to tap into the potential of fresh graduates? #JobMarket #FreshGraduates #unemployment #FutureOfWork

might be an unpopular opinion but one thing I drew from my years as a data analyst and also from various sources is that data analytics is an undefined term, many people are here for the money and the tag but don't know what an analyst being actually means or how to do the particular job, many people don't understand that foundational knowledge in data analytics gets your foot inside the door and not get you ready for an entry-level job, especially in a field as dynamic and ever-evolving like data science. There is a reason people value skill more than alma mater in data analytics as this is a highly skill-based career. This remind me of a quote in a job search video that a friend sent me, it said: If 100 people apply for an analyst role 50 will only have foundational skills, 20 will only have hard or technical skills with no soft skills what so ever, other 20 will have great soft skill but no vision or understanding of the job, and only 10 will have a proper understanding and skills for the job , if you are not in those 10 than work your way to get there , if you are than that's all you are competing with

Getting a #job (and finding a good candidate) is going to become exponentially more difficult in the coming days unless the #recruiters innovate and break the filtering pattern.

I recently came across a Data Analyst job posting requiring just 0–1 year of experience. What truly surprised me was the sheer number of applicants—over 14,000 people for a single position. It’s a stark reminder of how competitive the job market has become, especially for freshers. Having the right qualifications is no longer enough; standing out in such a massive pool feels incredibly challenging. This raises important questions: Are there enough opportunities for entry-level talent? And are companies doing enough to harness the potential of fresh graduates? #JobMarket #FreshGraduates #Unemployment #FutureOfWork

I recently saw a Data Analyst job that only needed 0-1 year of experience, but it had over 14,000 applicants for one position! This really hit me—how tough the job market has become for freshers. It’s not just about having the right degree or skills anymore; standing out in such a huge crowd feels almost impossible(freshers). It also made me wonder—are there enough jobs for fresh graduates? And are companies truly giving fresh talent a fair chance to prove themselves? Note: Many courses are being sold online, often promoted by influencers on LinkedIn and other platforms. While these courses might seem promising, the reality is often different, and it's crucial to do proper research before enrolling. For instance, if 15,000 students join a data analytics course, how many actually land a job? Reports suggest it could be as low as 100–150. That means, for every 1,000 people, only 1 person gets a job. By showcasing a few individuals, they create the impression of success, but many of these people secured jobs through their own efforts, not solely because of the bootcamp. Always check success rates and reviews before investing your time and money. Disclaimer : we are talking about only #freshers Image credit : respective Owner #DataAnalytics #DataScience

Preparing for data analyst role as a fresher? Not getting calls from recruiters? Here are some tips 💡(according to my experience) - 1. Don't focus much on big company name, as a fresher you should get into industry first. So keep applying to each and every openings. 2. Try to start as an intern data analyst in any company. Usually companies hire freshers as an intern. 3. Start building connections on linkedin. Don't hesitate to ask for referral in companies where you can see that they are hiring. And try to connect with analytics managerial level people. 4. Make your resume attractive. Highlight your project's outputs in bold letters in resume. And try to give some quantitative values as output like "increased ROI by 11℅". 5. As you are a fresher don't take more than one page to make your resume. 6. Make your profile stronger on job portals. Some famous job portals are - linkedin, naukri, instahyre, iimjobs and indeed etc. 7. Regularly update your profile on naukri in a day. Also re-upload your resume between 8AM - 9 AM. #datanalytics #career #recruitment

Why Most Data Analysts Don’t Get a Job as Freshers💼 As an aspiring data analyst, I’ve observed a common challenge many freshers face: landing that first job in the field. Here are a few reasons why this happens and how we can overcome these obstacles: 1. Lack of Practical Experience 📉: Many job postings require experience that freshers simply don’t have. While coursework is important, hands-on projects (like internships or personal projects) can significantly enhance your resume. 2. Insufficient Technical Skills 💻: Proficiency in key tools and languages (like SQL, Python, and Excel) is often expected. Freshers should focus on mastering these skills through online courses and practice. 3. Poor Portfolio Presentation 📂: A strong portfolio showcasing your projects and insights is crucial. Many candidates underestimate the power of a well-organized portfolio to demonstrate their analytical capabilities. 4. Networking Gaps 🤝: Many opportunities arise through connections. Freshers may not leverage platforms like LinkedIn effectively to build their professional network. 5. Generic Applications 📄: Sending out the same resume to multiple employers can be ineffective. Tailoring applications to specific roles and companies can help candidates stand out. Moving Forward 🚀 To improve our chances, we should: • Engage in Real-World Projects: Seek internships or volunteer opportunities to gain practical experience. • Build and Showcase a Portfolio: Create a portfolio with diverse projects that highlight your skills. • Network Actively: Attend industry events, join relevant groups, and connect with professionals in the field. • Customize Applications: Tailor your resume and cover letter for each position to reflect how your skills align with the job requirements. Together, we can navigate these challenges and build successful careers in data analytics. What strategies have you found helpful in your job search?Let’s share our experiences and support one another!💬

Preparing myself for the first day at the office! If you're a fresher looking to apply for jobs, connect with me on LinkedIn. I'll share detailed insights to help you navigate the process effectively. #freshers #jobs #softwareengineer #dataanalyst #businessanalyst #datascientist #dataengineer

Hello to all, As a fresher actively seeking a Data Analyst role, I understand the challenges of securing a job in today's competitive market, especially for those without prior experience. Many organizations require 1+ or 2+ years of experience in the specific field, making it difficult for freshers to break into the industry. It's crucial to address the gap between the skills freshers possess and the experience organizations demand. Despite our innovative ideas, hard work, and skills, the lack of practical knowledge often hinders our opportunities. Internships are a valuable avenue for gaining hands-on experience and bridging this knowledge gap. Recently, I interviewed for a Product Analyst role, where the emphasis on one year of product field experience was a barrier. Despite thorough preparation, including a detailed SWOT analysis report, the preference for experienced candidates at lower costs prevailed. It's essential for organizations to consider offering entry-level positions with basic experience requirements or reevaluate their expectations for roles designated as entry-level. Freshers bring a unique perspective and a willingness to learn that can add significant value to any team. Let's continue advocating for opportunities that allow freshers to showcase their potential and contribute meaningfully to the workforce. Together, we can bridge the experience gap and create a more inclusive environment for all aspiring professionals. #Freshers #DataAnalyst #Internships #CareerOpportunities #SkillsDevelopment

Dear Aspiring #analysts , please don't let go of job opportunity just because the company isn't a popular brand or it's not a product company. Think of your first opportunity as someone is paying you to acquire skills. Parallelly, you can keep applying for the desired opportunity you seek, there is nothing wrong with that. Think of the positives: ✅ No more an "aspiring" data analyst ✅ You will be working on real problem statement ✅ Your resume will now have "real" projects ✅ If lucky, you will get some awesome peers and managers who will be there to guide you! ✅ Lastly, I say this to all freshers, use the first couple of years to learn, think of it that someone is paying you to acquire skills. Money is important and it is bound to come if you have the relevant skills. follow Gaurav Agrawal for more #opportunity #freshers #dataanalytics #brand #startup