InvestM Technology LLC’s Post

Did I Really Get the Entry-Level Data Analyst Job Offer? NewBeginnings #JobOfferAccepted #CareerJourney #ImposterSyndrome #SmoothInterview Congratulations on accepting a job offer! 🍾 This milestone is crucial for anyone navigating their career path. Let's dive into various aspects you'll likely encounter after accepting an offer, focusing on the provided context. We'll cover everything from feelings of imposter syndrome to next steps and how to ensure a seamless transition. The Elation and Anxiety of Accepting a Job Offer 🎉😅 ... Read more: https://lnkd.in/gyedDM5t

What I have done in my 3 days break from LinkedIn 🤔🤔 From last 3 days, I haven't posted anything. well I spent my time focusing on 3 things: - Portfolio building - Job searching - Creating resumes And talking about job searching, I found it quite difficult to found jobs for data analyst. I am not saying that there are no jobs, there are lot of jobs but... I found difficultly on... - Demand of higher experience even in entry-level positions. - Found many Fancy job title, and initially I skip to apply in jobs due to its fancy names. eg. Associate Data Analyst - it's nothing but Entry level DA jobs. - Not getting response I applied in some jobs, they view my resume but not getting responses, I felt quite nervous and demotivated due to no response. and (My mother's role here is... she said Patience is a skill, nothing comes without hardwork or patience) That's all about the day... P.s. What difficulty you are facing in your job hunting? share it with us in comments 😀 Regards Harshita Basera

🚧 Today, while dropping off my daughter at daycare, I hit a roadblock - a garbage collecting machine. I pivoted and found another route. 🤔 Reflecting on it, asked my daughter what she would do in similar situations. Would she wait for the obstruction to clear? Would she backtrack and find a new path? Her reply? "Play at the playground while waiting!" 💼 This got me thinking about my current circumstances in today's challenging data job market. Actively seeking a full-time data analyst position, "going to the playground" isn't an option for me right now. 🛤️ So, I began contemplating what other avenues I could explore—a sort of detour from the path I've worked hard for and loved so much. 👥Linkedin connections who have the green banner for a while now, when do you think it is time to find a new path in your career journey? Avery Smith, Trevor Maxwell, Alex Freberg, Annie Nelson, Hillar Parbo, Mara Lewis #DataAnalysis #JobMarket #ProblemSolving #CareerJourney

I didn’t think I would ever land a Data Analyst job. I had doubts that a company would actually hire some like me. No degree No coding background No math background No guidance No experience Every rejection made me feel like I was wasting my time. At one point I almost reverted back to working in a call center. I seen my peers that started studying around the same time as me landing jobs before me. I started this big community and felt like a fraud because I couldn’t land a job. But despite these thoughts, I didn’t let it stop me from reaching my goals. I was NOT always consistent. There was days and sometimes weeks when I fell off from studying or applying to jobs. But I stayed persistent. It took me 16 months of studying, applying, networking, branding and interviewing to land my first position as a Data Analyst. I owe it to my Fiancée who always pushes me towards my higher self and reminds of my strengths. I also owe it to myself for not giving up when my mind was trying to discourage me. So yes, this journey may not be a walk in the park, but if your goal is to start your career as a Data Analyst or any field then just know that it is possible. It doesn’t matter what the job market looks like now, it doesn’t matter if you don’t have the traditional background, it doesn’t matter if it takes you longer than the “norm” All that matters is that your goals are possible and you can make it happen. #dataanalyst #career

"Very important: You should be willing to go through our hiring process, which has been optimized to get an offer to qualified candidates quickly, while also giving you a feel for the type of work we do and the company culture. The steps in our hiring process: “Getting to Know You questions” form ⇒ Take home “Challenge” coding & math problems (1-4 hours) ⇒ 4 interviews (~2.5 hours) ⇒ Paid micro project (4-8 hours) ⇒ Meet the Team Day (8 hours) ⇒ Offer!" This is part of a posting for a Data Analyst job I just viewed. While I appreciate the fact they spelled out their hiring process, this just goes to show you the absolute ridiculousness to land a job with this company and many others like it. There is ZERO reason why you should be spending 15-23 UNPAID hours for an interview process. These companies need to stop this madness.

Shout out to this hiring manager for their thoughtful response to my application: "Thank you for your application for the Data Analyst position. Our hiring plans have changed, and we have decided to put this position on hold. I understand this might not be the news you expected, but we are continuously looking and encourage you to apply for other positions that you feel are a perfect fit. "On a side note, you have interesting competencies, and it is clear that you put a lot of work into your application. I feel you would do even better and stand out more if you highlight key points to make your narrative crystal clear (from the hiring manager’s perspective)."

Challenges of every entry level Data Analyst looking for job and how to navigate I know job searching is a frustrating process and many times it can be unfair Every organization is looking for experienced individuals and we are also looking for employment to gain experience. How do we overcome this? One piece of advice I got from a post recently is to VOLUNTEER. It might sound odd and your next question might be: What's the difference between working on a project and volunteering? Are they not birds of a feather? No, they are not. Aside from both being unpaid, they're miles apart. Here's the thing: 📌 You get to experience real-life scenarios 📌 You get to collaborate, work in teams and build real connections 📌 You get to improve your analytical skills 📌 You get to see the impact of your analysis in the real world 📌 You get to build your resume with real work experience Although we won’t get paid but we get to benefit a lot more from volunteering rather than continuing to work on datasets from Kaggle. And It will definitely increase our chances of getting into data roles If you’re transitioning to Data Analytics like me, follow for more content and let’s connect

𝐃𝐚𝐲 #3 of applying for Data Analyst jobs and I learned a new way to apply for Data Analyst jobs! I have seen that in most of jobs posting in most of the job portals, there is a button that says "𝐄𝐚𝐬𝐲 𝐀𝐩𝐩𝐥𝐲" or "𝐒𝐡𝐚𝐫𝐞 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭" or something like that. That button is not enough! Just a few clicks can't help you get an interview call! It is a long process! You have to use your analytical brain and figure out a way to get you resume noticed and make to the 𝐓𝐨𝐩 1%-5%. That is why I stopped using the "Easy Apply" and started applying at official career pages where I get all the information about the job posted. It is better to apply for jobs where you are sure to get your resume past every other person applying for that job. And one more point, I only apply to those jobs where I can get the 𝐜𝐨𝐧𝐭𝐚𝐜𝐭 𝐝𝐞𝐭𝐚𝐢𝐥𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐣𝐨𝐛 𝐩𝐨𝐬𝐭𝐞𝐫 𝐨𝐫 𝐭𝐡𝐞 𝐇𝐑 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐲. I have used this advice given by Shashank Singh 🇮🇳 after watching his YouTube videos and Instagram reel. 👌 Applying within 24 hours to 1 week of the job posting is working great for me because I was able to get 3 referrals till today. 𝐍𝐨𝐭𝐞: I have been applying for jobs even before I started posting my daily experiences, more than a month already. I was having practical exams and Final year exams for the last 1.5 months, so you guys were not updated about it. But now I am back, with confidence and skills, and I will continue to succeed! ------------------------------------------------------------------------------------ I am Aryan and I am sharing my daily 𝐣𝐨𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 📑 and 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠𝐬! 📔 Let's support each other on this journey. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 along and share your own experiences in the 𝐜𝐨𝐦𝐦𝐞𝐧𝐭𝐬!🤝

Data Analyst portfolio: I think I’ll go so far to say it’s now a “must have” item for any future analysts I hire. An ideal project portfolio from my POV: - 3 or 4 projects - Showcases your technical abilities (code) but also, your documentation/written communication style (code comments, instructions for use) - Ideally use data related to your job function OR the project is similar to a project you would do on the job. A portfolio is also a great chance to show creativity and/or personality. I haven’t completed technical interviews for the last few hires I’ve done because the portfolios gave me all the answers I needed. Instead I’ve asked them to present one of their project pieces to me as a way to gauge presentation skills.