Haven't watched the video yet, but is part of the problem that people actually want statisticians to do Data analysis, as opposed to lightweight tech geeks who just learn a bit of data anlysis hoping it makes them more employable? I'm tech savvy but strong on stats but was leaning towards getting into data engineering or cloud engineering. Maybe I should go for something more stats related?
I worked as a data analyst, then I could not get any position. The issue is that employers don't want to train employees, they want an all knowing person...
True. This will hurt companies in the long run. Back in the day almost every company had an onboarding training program/ process where they trained you in their technology or what you would end up doing in the job. They dont do that anymore and expect you to know everything before they hire you. This is unrealistic and will be one of the things that one day destroys many companies and the job market economy.
They want experience person and pay then entry level salary. That's what I see in software and hardware. They do this because they know you need a job and you be willing to negotiate.
The navy recruiter I talked to damn near convinced me to stop taking antidepressants and get my braces taken out so I could do cyber security for them. The fact I'm actually considering it when I'm just a freshman in college 😅😅
I graduated with a Data Science degree and applied for a handful of data analyst jobs and a couple of Jr. software dev roles. None of the data jobs called back after the initial interview but I was offered a dev position just for doing their code test well. That was a couple of years ago. My salary has been bumped up twice since then and I've been promoted once. The data career seems to be growing further and further out of my reach! I totally love software development now! Help!
@@Mememaxing Basic programming/algorithm courses and intro to databases are already part of my degree, and we use plenty of java, python and R in the advance ML and statistics classes, so coding isn’t really a problem. I did take a week to practice sample coding interview problems online before the coding interview. There were definitely a lot of new things to pick up during the first couple of years on the job. AWS services, containers, and new web frameworks. Also JS as a new language. But it was alright.
@@juliocesargarcia7218 Nah, my company mainly deals with app and web development. Since ChatGPT came out I’ve only been using it to generate mock JSON data for testing code. Really don’t see much application of AI to our processes at this time.
100% agree, based on my own experience. I got into data analysis with a degree in... geography. Specialty: climatology. Climatology is essentially big weather data. My first paid job in Canada was a 3-day contract, having to fix an H.R. report on a Foxbase platform. My most recent one was a 15-year stint as senior data analyst in the corporate finance department of one of the major Oil & Gas company in Calgary...
Hey can i contact you somehow?? I've recently graduated with a degree in Geography as well and right i want to get into the Data field. Need your advice. Will be waiting for your response.
@@mewappleby2292 I got in contact with a researcher in climatology and he got me to write programs (in FORTRAN, back then!) to quality-check and do statistical analysis of climatological series. I actually worked 5 years in a succession of smaller contracts for that researcher's lab (France's CNRS) before eventually branching out, once these contracts ran out.
@@mpo2476 Usual ebb and flow driven by oil and gas prices. Boomed last year when both oil and nat.gas were expensive, now in a bit of a downturn with still high oil prices, but low gas prices.
Data analytics and Data Science is becoming just a skill for people with Master's degree. Almost all jobs with Master's now require you to be good in analytics and 17-25% of final interview will have analysis. In healthcare, informatics / public health / and healthcare data analytics need you to be good in Excel. Have a good idea what SQL, ( R or STATA), maybe a bit of python, and if majoring in analytics, be good in SAS. If data science/analytics is a second degree, with first one being a professional degree, you're almost assured of a job and a high paying one.
Example: A healthcare/hospital wants someone to run an analysis on quality of patient care. A doctor/ nurse / CDIS expert with coding will do it without asking what you are talking about. The already know the parameters needed, and what dependent/independent variables to compare, and they will run tables/ charts and tests significance. The information is already in healthcare charting app like Epic. That's it. You have results and a report in a single day. It's not just about numbers!
If state or government jobs, you have to show at least 15 units of that skill in your degree and if postgraduate, must be a degree of more than 1 year duration in Masters.
Developer (Non-Core IT), BI Developer, Business Analyst, Business System Analyst, Data Specialist, Data Analyst, and Data Scientist all falls into the same career families. But each of the title functions differently and required different experience, hard skill, and soft skill, while I consider Data Analyst and Data Scientist are the best ones as they are required to have developer SQL skill, business knowledge, data modeling skill, data analytics, root causes analytics, BI visualization skill (Tableau/Power BI), project management skill (Agile JIRA), accountability and responsibility, communication skill with professional email tones, and the ability to assign tasks and push back tasks when the task fall out of scope.
@@sss6678sss Data Engineering is good too but then they just design and establish the infrastructure of database; while they could not care less on what the actual data issue, reporting, and visualization would look like once joining the data together. I have met many of them and they did gave out a vibe that they only care about the DB design and access restriction, while many of them are either outsourced or contractors. So didn't really build a "coworker bond" with them where they will less likely to do above and beyond with the contractor status. They do the minimal required and not as helpful when compared to Data Analysts and Data Scientists.
I made a switch to data analyst and was hired although I had almost nothing to show. Most likely I got hired because I live so rural that there was no competition.
I started with building a portfolio and then instead of applying for a full-time job, I was applying for an internship. I have two data analyst internship experience before becoming a full-time data analyst, in a different company
Were you a student at the time you got the internships or no? Most internships require you a student going to school, also were these internships paid or no?
Companies do shady stuff too though. IN my country they started labeling sales jobs as data analyst, or engineer, or manager, making it harder to find a a proper analyst job
These companies are usually toxic and their retention of employees is poor. I know bunch of people who great at sales but dread taking any role in sales and marketing.
@@enochchronicles12767 This. I took my first "Data Analyst" job about 4 months ago and while there is _some_ of that, the vast majority of what I actually need to do has nothing to do with data analysis and it's no wonder why the person before me quit so abruptly or why the other analyst confessed to me that she burned out before putting her notice in. I have to take on her tasks while they look for yet another person which, surprise, have nothing to do with data analysis.
i have a finance background but id prefer to do more data than actual finance...with my work experience i have more advantage in customer processing roles. Honestly i just want an easy job that pays me 45k to 50k. Enough for me to save and to afford a vacation each year. I dont need no high stress job thats gonna cause me wrinkles/stress and grey hair lol
I was just thinking you cannot possibly live in the US. I make 42k but, that is NOT enough to live by myself with😭😭. I’m thinking about getting into healthcare analytics
After having gotten double ghosted from a Healthcare Data Analyst job last summer in which I was one of the top candidates, I had given up. Shortly after, I landed a seasonal Tax Analyst job that I am currently doing for the tax season. People tell me that I am ready to apply for Data Analyst jobs now, but I am actually waiting until I see how my performance is with my current job and completing a couple of in depth portfolio projects each taking well over 80 hours each to complete utilizing Python and SQL. I figure this will add more strength to my resume then only being able to put jobs I have had such as Deli Clerk, cashier, Helper Clerk, Personal Trainer, etc. I figure having domain knowledge in both healthcare and taxes/accounting can only be more beneficial.
@@Gsogreat I come up with a scenario in which a business/organization might want to have the insights from data to help them achieve an objective. My current project is looking at snowfall and depth trends over the past 50 years. Though it is investigating snow fall trends based on weather patterns caused by surface sea temperatures, I am also attempting to predict future snowfall/depths. I could spend several more hours trying to find the best prediction model, but I figure that would be overkill for a portfolio project in which I'm simply trying to land my first Data Analyst role. I figure once I land my first role, I can dive into more challenging topics more related to Data Science and or Data Engineering.
I think we also must fully adapt to what's normal, now. Yes, the Boomer advice "walk in there and give em a handshake" is dated, but also the modern truth is that you should just expect to apply for hundreds of jobs to get one, assuming the job is desirable. That's normal now, so if you've applied 250 times and nothing? You've only got started, and this is not a sign of failure, polish what you can, continue applying. The other important thing I've heard is that, at least to land your first job, you must consider relocation. To escape that tired town, you may need to actually leave.
When applying for my first job I downloaded a program that automatically filled in most applications. Applying for a hundred jobs took about an hour. The program used was Dashlane.
you said think "what value you can provide". actually in real life that sadly isnt the case, the value you will provide usually correlate directly with the tasks you get and thats not up to you and also happend AFTER you get the job. as a candidate you should just do 2 things: 1. try to be as much close in apperance and attidute of current employees. good fit to company's culture is crucial 2. pass technical interview, you dont need to be much better than the others just answer the questions. thats it
@@lavatr8322 Mostly Graphic Design early on. Which evidentially exercises UI UX Design (mostly UI). Print and digital marketing, branding, Style Guides, social, packaging, EDMs, catalogues, some video editing and photography, you name it I've done it. Last 3 years, I'm heavy on Software, app and website design, officially a UI UX Designer, predominately UI design. Current job requires lots of reporting, Power BI, etc. ;) how I stumbled on this.
@@lavatr8322 Just curious. What are your major industries that have been using your 3D skills? Is it real-estate? Are there enough job opportunities? I used to design for fun in Cinema4D :P My little brother finished a 3D bachelor few years ago but ended up being a coder. I think mostly because my father got him a prime data administrator position, and is coaching him through it. Not sure.
Data Analyst titles can go up to Level 6 (DA (New Grad), DA II (2 yrs), DA III (4-5 yrs) , DA IV (6-7 yrs), DA V (10+yrs), and DA VI (15+yrs) and each level should have around $10-15k pay bump if looking at the 100% compa-ratio across. A great analyst need to equip oneself with the following: integrated SQL/programming skill (Oracle, SqlSvr, DB2, R, SSIS & SSAS, SAS, Python, Databricks, Snowflake, Pyspark, VB Code, Power BI, Tableau etc), analytical skill, can-do attitude, business knowledge, relational database knowledge, documentation skill, communication skill, visualization skill, leadership skill, and problem solving skill (instead of bringing just the problem on the table to the manager). While some DA will gear toward Lvl 6 as individual contributor, others would gear toward managerial role after lvl 3 and lvl 4; since the paygrade for an entry level professional manager will be equivalent to DA lvl 4; and director level equivalent to DA lvl 6.
All career fields ebb and flow and gradually change day to day. The skills and tools required for Data Analytics are applicable across many fields in many industries. We're still at the relative beginning of the Information Age. Think of yourself more as an interpreter, and data is your language.
not gonna lie I'm very uncertain about this career path since I'm just starting to learn this year. I'm thinking of keep grinding and learning then if I can't find a data-position I might just have to work another job where my skills can be helpful (automating little tasks, calculations, cleaning excel sheets, etc...)
You're not alone my friend. I've been in this journey for almost one year now and I'm really thinking about a plan B and start to look at other jobs in the tech industry
I'd recommend finding a way to implement what you learn into the job you have, and grow In that role. Find ways to show off your skills and prove its usefulness.
I would be cautious about choosing a career which has a realistic chance of being obsoleted by AI in the near future. Unless you plan to rise above and be exceptional at your job, this path is looking like a dead-end.
Oversaturation. Everyone got hyped about coding so everyone got an SWE degree and took bootcamp and grinded leetcodes. Then Data science got hyped so everyone jumped on that, and then it was machine learning/AI and people are jumping on that. It's like the goldrush, if everyone got a shovel and shifting the river bank for gold, how many of them do you think will actually become rich? The only people making money are the people selling bootcamp programs and classes and guides LOL Not many people remember but the most popular engineer degree in 2000 was actually bio-med and arch engineering. Those got oversaturated real fast and people started moving to EE and CS........
I really needed to hear this. I have been applying to entry level data analysts jobs in India for the past three months. I haven't got any good responses yet. I just keep improving my skills, resume and portfolios.
@@twosides2504 This is the trick, different jobs have different titles for the same thing. I'm trying to break into the game industry yet the entry job Game QA/Tester has so many various titles I can't just punch one title into to google and find them all. The graft is finding the jobs first.
One quote I got from the movie 3 idiots is that "Don't chase success, choose to improve yourself and become best at your field and success will come running for you" I think this quote sums up the message that you're trying to convey
You know this month I have just got my postgraduate diploma in data science and I have applied for over hundred jobs but I did not get a single call from any company. It’s really frustrating to get constantly rejected even though I have six years of work experience and still can’t land a data analyst job.
172 applicantions is still only a third of the applicatants that thr job of public highschool teacher gets in my country... Hundreds and even thousands apply for the same job here. It's terrible.
I graduated with a degree in statistics. Have knowledge in cleaning datasets such as removing null values, dups, or potentially harmful variables. I know how to do linear regressions, KNN, basic stats(std dev., max, min, mod), understanding p-values, understanding confidence intervals, SQL, pandas, matlib, python, R. Took advanced math course, got a degree all for nothing. It's all about the timing and prior experience. Which is BS for people trying to eventually become a data scientist. And what suck is that those who aren't that qualified still some how land the job. Obviously, my approach and my mindset isn't great because of many disappointments, but the reality is still there. It is what it is.
@@dallysinghson5569The business knowledge aspect in a data scientist is used mainly in their "question they are trying to solve" and is reflected on when they write their reports. I thinking learning some business knowledge on the job is a given for most white collar jobs.
It is bs I graduated in 2018 with the exact same skillset and was applying to 100s of jobs and had to move across the country for my first role. The fact is though you can wallow in your despair or use it as fuel to build better projects, learn more skills and develop a killer project portfolio. Whether you spend your energy being productive or playing games youll still be miserable but one is going to put you ahead along the axis of time. Dont give up and keep trying, keep working hard every day and building projects and in 6-12 months you will have a job or at the very least be an expert in a few more skills. You can spin up an AWS server online, data.gov has large government datasets. Build a data enginerring pipeline to get it into an AWS server and run some analysis. Find large websites with APIs for their data and stream a pipeline into your aws or sql database and then automatically update your analytics dashboards and models from it. This is something you can do in 6-12 months if youre smart and you can easily be at a senior+ level by then.
One more note. 150 applicants for data analyst job. 10 analyst jobs on the site. It means that pretty much all 150 applied for each of those jobs. This reduces competition to 15 per job. Top 10 people will be hired. Just an example. Still sucks.
Remote jobs have done the same thing Tinder has done for getting laid with women. The Giga Chad analytics professionals have multiple positions simultaneously, and they've crowded out all the subpar analysts. Plus tons of people are coming into the field because it is one of the most common remote jobs and people want that work from home life.
When i first started this field in the late 2010s, nobody wanted to be a DA. Now everyone wants to be one. They don’t care about tech or data, they just want to work remote.
Im very mad at this video. I did a master on data science. We were 12 people, only 2 get a job in a year!!!!! Can u live without a job a whole year? Of course no
I interviewed to be a Data analyst. But I’ll admit I didn’t look great on paper so I was hired instead for my process improvement skills specifically as an admin. I have general programming understanding in most languages and almost completely done with my masters. But I was willing to take it because I was that much closer to the role I wanted. I am now on teams as a visualization sme and teaching. I had to just get my foot in the door to show what I could do and now they are happy and they also pay for all my certifications and training - WIN WIN.
Don't you think AI will take over a data analyst place? Even now AI can gather, clean, aggregate and visualize the raw / big data. Makes me wonder if it still make sense to learn that as a beginner or choose another path
I’d say yes bc even though AI can do it, it still makes mistakes. In order to draw insights from data, you need to validate that all the analysis and calculations are correct. AI is prone to make wrong inferences from small mistakes that could be corrected with a data professional overseeing it.
Not really. The contractors running specific and flexible AI Apps (individually owned by these contractors and patented) will take over the jobs. This is becoming an every day norm in the healthcare. Outsourcing had become normal for data analysis and revenue cycle. Big ones are like Optum, but there is a presence of small, localized one sprouting everywhere.
Plan ahead, I am a working adult that is working on a degree in data analytics while having a huge portion of my tuition paid for by my employer, and they are letting me do my internship in the company and my manager introducing me to the people i will need to know to get a data analyst entry level job. Planned as far as getting my masters as well and certifications all on the company dime. This is a Faang company as well, but set out a strategy and have planned my path out years in advance and my previous field was highly competitive and high stress so nothing new.
@@vincebandgogh I am at the wherehouse at Amazon moving to the IT support roll in 2 months after I finish my certification then will work while being a full time student. They offer tuition payments to all employees after a certain amount of time. There are around 20 people I currently work with that are doing the same thing for various degrees, it’s just that most people don’t want to have to go back to school and work.
The cheat code for us no degree people is the tuition assistance. I am going for my degree and CISSP now at 41. It's gonna help me climb higher because I am already 20+ years in. Much harder for those just coming out of school and trying to get into the work force AND they took on the debt.
@@ryox82 smart play, I told my kids who are in college now that if it’s possible try and find an employer that will foot the bill or help out a lot. I know there are several companies that will pay for tuition up front I think Boeing is another that will do that.
yes and I'm beginning to see work where a data scientists could have helped but we don't have the money so we took courses on our own to ramp up and do the work. I'm not as good as an actual DS but I can do basics that is enough for the work.
Imagine, I have no degree and only have project experience lol its a nightmare. Since the beginning of October I applied to 26 jobs, ONLY 1 company has shown interest in giving me a look. I passed the assessment test they gave me last week and on the 7th of November I have the first interview. Just don't give up that's all I can say and I'm here hoping I will nail it and finally get my foot in Tech, and I hope all of you guys get your shot too!
@solace6168 it went great! I was really nervous cause I'm still learning SQL so I thought they would hit me with more SQL assessments. Instead, it was a behavioral interview and also a "get to know you" thing like in a first date. So I'm going to have to wait to hear from them regarding getting to the 2nd stage of interview. Which is good for me so I can practice, especially I can finish my Snowflake certification, which really will help me stand out and be more confident
The reason why data analyst job is looking dead because of data analyst bootcamp is being a trend after pandemic until early 2023. It is already over populate of people that graduate just with this but the job is not as many as the graduated. And now, this will happen again in 2024, the trend will change into AI engineer bootcamp and the result will be the same with data analyst. So my suggestion is stop walking with the trend and find out your own.
I really disagree with a lot of the things said in this video. Employers are really cruel and aggressive with everyone, you can be more skilled as a beginner than someone who has had years in the field and still be wrecked because an employer decided to throw a fit on you. I feel like you diminish the idea that employers and HR are possibly the most absurd and degenerate human beings in existence. More often than not it's a shitty employer that gatekeeps literally everyone, it's not always the applicant's fault like you say. You should quit your current role right now and become a job seeker before you spout all this nonsense about applicants being the bad guys.
@@ScarletBitch29 I don't know, maybe they like people who like you who lack integrity and go by names like scarletbitch on the internet more than people who actually work hard. Maybe they are afraid of being replaced by people who know new tech, maybe the sunshine isn't so bright in their eyes and they just love people they can take advantage of so they can make their lives actually mean something out of a superiority complex. You should ask them and find out. I literally had a job interview where I suggested that this balding little shit almost 60 look at my portfolio before he kept talking shit about me, didn't even let me prove myself, and the cheeky ass clown literally said "no I'm not going to do that" to me to my face. You don't know the world, and judging by your decision to scold me on the matter you also haven't aged enough either.
What if HR is just another human being, without deep knowledge in technology, also trying to find the best fit for their company in order to alleviate a little bit the burden they are also carrying from their side? If you see them as enemies, it’s you putting the conflict in that relationship.
HR/Managers get recognized by good work when they solve the problem effectively. If HR/manager hired someone who was not capable, they will be seen as not capable for hiring. I do agree that most non-technical people look for certifications, big names on CV and etc. Mostly because they don’t have sufficient technical knowledge to evaluate the technical skills of the candidate. So, they have to rely on those big names that, in theory, are respected from their high education. HR and non-technical managers are just lost in this sense… they are just trying to navigate as you when you think that big techs would do a better technical work comparing to any other company. That is why usually the interview processes are divided in 2 or 3 parts. Being one for HR get to understand your career goals, and another where a technical person (a.k.a engineer, a.k.a a guy like you) would have a closer look on your technical skills. Now, it is up to you to get some sympathy from your future peers. As it is up to you to wrap your amazing life history in a pretty package to be sold.
Hi , Lukas can you please make a video on how to search for the right jobs in the data , because job title varies from organization to organization , for example i search jobs through skill like power bi and job comes as power bi developer , bi consultant
I'm working as a frontend developer but I want to change my career.. because I feel "frontend development" is boring (no offense to whoever loves that ) So I'm trying to land a job in data professional roles especially.. but I'm struggling with any advice on how i should approach this path
Guys listen....keep grinding...keep upskilling ...stay relevant to modern needs .. .stop listening to these guys ..almost all of youtubers are talking that there is no job out there .....but it's not true .....these channels are just earning views by raising such false claims.
You should have strong knowledge of a couple of subjects and be curious about the remaining. But usually job position involve knowledge of a bit less then EVERYTHING, that’s it
Interesting. I’ve recently started to learn data. I am currently a talent advisor so I am trying to take what I learn and implement it into my current role to show trends, correlations etc… my management team love it and it’s giving me real life experience! Of course they don’t pay me more tho :( lol
I have mostly been a business analyst but have had a few data quality and with jobs. If I'm going to be finishing up a master's in data analytics and business intelligence I'm wondering if my industry knowledge will set me apart alarm with the analytics degree
this sharing is might not necessary but I’m gonna do it regardless. I’m a student in Applied Math n currently internship at a big accounting company. Honestly, my target was to get a place in tech company coz that’s what we used to expose on in school n they value programming (I like programming stuff) so when I start to work on this accounting company as analytics intern, I was so surprised. Due to lack of staff with skills, the data management are (very) messy. they rather pay expensive software than hiring people with skills. but they are open with the idea of how do I think I can optimise the sources. coming from math background, I see a few things that can be improved but due to understaff, they almost have no room to improve the system, coz they need to focus on maintaining So, to students that enrolling any related data field, don’t give up! You with the skills, always be wanted. They want to see your new pov in order to improve their overall quality and don’t forget to connect with people in industry! expand your network
The "value you provide" is the people who are willing to work for half the fking price in this economy that's the reality. There is a difference between not getting the job and no jobs available. I search up junior data analyst and get 2 or jobs in this highly competitive market it is useless to put effort and apply.
Lets be real. If the job you are applying on linkedIn has less than +200 job applications your role is either among the more senior roles or the less saturated industries.
This is such good advice. The amount of people I noticed that lack grit, perseverance and then blame it solely on external circumstances shocked me after university.
what about if you have a bachelors degree in software engineering with 5+ years in development, do you think an IBM data analyst certification would help land a job in data science?
You could just do it as part of your continuing self improvement and APPLY the new skills as you learn them. Would certainly help as you interview in the confidence department. I am a manager now. I am not a developer at all, but would be pretty cool to create a python script to help with home brewing Identity and Access solutions and having that under my belt.
I wanted to become a UX designer so I first took a bachelor in nursing, then social sciences and then one bachelor degree in computer science with minor in design. Still couldn't get a job even though I have the best referals. SO started on a master degree in business and hoping to transition to data analytics now that I have given up on UX
@@kolyxix How else am I too get a job in the field? Nursing for communication and understanding people, social sciences for keeping an open mind and understanding people, computer science for tools such as Figma, adobe and communicating with developers. What else is there to do?
@@finnj3976 lol, ahahh. You dont need to be nursing degree and social sciencr to understand people, you only gonna be taking on student loans. But if taking on loans and student is cool with you, then go for it.
Let me save everyone the headache from wasting 8 minutes of your life. Video of why everyone is struggling and tip: - People got let go. - They were experienced. - Now experience people are competing against beginners and other experienced people on the job market. - The tip: I believe in you. Man, thanks for wasting =8 minutes of my life so I can save others from going through this. What a pointless video.
Funny you mentioned 100s of applicants at the time you checked as I have pulling metrics and consistently seeing job posts with at least (at least for those tracked on linkedin) 3k+ applicants. Not to mentio, a job search with data analyst will pull many non analyst positions as it is pulling keywords not titles. Its amazing how much worse the market is at the moment. I will say just keep trying is the way to go BUT if we are being honest it’s THE only way to go because that is the only option. Hope everyone has luck out there but this video feels like it was only made to generate the clicks and money not of anything beneficial or of substance to a large amount of desperate people. You want to be hired just keep chugging projects or even volunteering your time for free to build work experience and portfolio.
oh thank god I've watched this before i choose my major... I'm gonna go with softwarw development instead, tho data analyst in Philippines still probably is alive but still
@@Gsogreat Lots of law firms have big budgets reserved for software development. You can either work full time or free lance for them. Alternatively you can work for lawtech companies that develop software for lawyers. I know plenty of lawyers in my network that are hiring for software engineers
Employers who are not serious will lose out in the end. Most of these jobs have been over exergerated. Lets face it. Some People work as data analysts without say knowledge of python but with only SQL , Relational databases and tools like POWERBI and even Excel in the real world. But these employers want more and more.... They even want people to know AI and prompt engineering..kikiki.. So the problem is EMPLOYERS
Because it is the same as being quant back in the day (2008-2013). People that had no idea about basic stats try to get into data-related jobs and try to fake it till they make it. It's not a job market problem, it's people's problem aka impostor syndrome.
@@ogheneovovictor9961 im a truck driver and im thinking about going into tech, the problem is I already make good money 120k a year so Im wondering if tech is even worth it at this point
Brother, any job you do is "for a corporation" in some capacity. Unless you're completely independent and self-employed, I'm sure the same could be said for your job.
Honestly the fact that you wrote that is sad on your behalf. It shows a total lack of comprehension. This clip was basic, but your reply beat it to a pulp.
Eh i do notice almost no ads or openings, no one getting promoted or being able to job hop etc. definitely not just complainers being loud. Though I do think there is a mismatch of some awesome people stuck unemployed and many useless people with jobs
I'm not an AI or data expert by any means. But the question that comes to my mind is, can most data analyst tasks be done by AI? If so, maybe this is the main reason?
If the company decide to hire an AI Engineer to create an automatic template for each of analytical report and give feedback based on data history, so yes the task can be done by AI.
AI can help the developers in doing small tasks like coding, arranging, etc. Only humans can make it to the full potential, btw you can't give data to AI as you have to maintain the privacy of it.
ngl, hate these kinds of videos now. cus you peddle coursera certs only because they make commission for those who don't know better. for example, i was "awarded" the google data analytics cert after 3 days of non-stop studying (i just did the quizzes in the end) during the 7 day free trial. a bachelors degree and/or relevant work experience will always be king. and if you can't get those, then projects and certifications (which require EXAMS to pass) are far better on a resume (for at-least an entry level job). It's why you can land a $40k help-desk role with simply an A+ certification (which requires an exam to pass).
Summary: Acknowledges external factors leading to difficulty in job acquisition, and then says it's ultimately because the people who fail are complainers or not working hard enough. Then proceeds to "show you how". So we have FUD, "work harder you whiner", and then push how-to.
I definitely needed to hear this video. I'm taking a certification in Data Analytics atm via Coursera. I do have a question though. The video suggested building the portfolio and do projects. But how do you do that if you don't have a job? Go freelance?
That's the downside of online certifications. And here in my country no one gives a shite about certifications. Especially online. And not even via offline private institutions. It's very hard here to even land that first internship opportunity
I love your advice; thank you. I want to learn more about data analysis so I can help "prove" why a new feature or improving a new feature needs to happen. I believe that data can answer those questions.
you make it sound like people apply to one job then give up and cry on reddit. If you actually listen to the people talking about their struggles rather than immediately blaming them, then you'd see that they've made over hundreds of applications, sometimes thousands of applications and still can't even get a job in a shop let alone in their field even with their 10 years+ experience. You can try to be positive and motivational but you don't have to debase people already struggling and ignore reality just to get views and likes. When you've been ticking all the checkboxes and running on a treadmill for months and still get no results, at what point will you accept its the job markets fault and not yours? If loads of people are complaining about something, then its probably something that genuinely needs fixing, just because you don't have a problem doesn't mean everyone else has to be happy about losing their roof over their head for the #grindset.
Its good when you invest 5-8 years on it and become Senior (Lvl 3) or Consultant/Lead (Lvl 4) titles and make over 100k annual working from home with company paid laptop, monitors, and wifi. Principal Lead Lvl 5 is 150k. Lvl4 is equivalent to a manager lvl pay and Lvl 5 is senior manager, but need not to babysit people but babysit projects and system processes.
NOT 100%. This is because unfortunately there will be certain people who can try FOREVER and NOT land their data job. Money is tight so they go and pick something else so they don't go homeless. I work with data easy. Yet seen co-workers act (seriously) as if they never used settings.
Data Analyst Beginner Roadmap (2024)
👉 learnwithlukas.com/da/
Link not working
@@shahidh568 Thank you, fixed!
Haven't watched the video yet, but is part of the problem that people actually want statisticians to do Data analysis, as opposed to lightweight tech geeks who just learn a bit of data anlysis hoping it makes them more employable? I'm tech savvy but strong on stats but was leaning towards getting into data engineering or cloud engineering. Maybe I should go for something more stats related?
I worked as a data analyst, then I could not get any position. The issue is that employers don't want to train employees, they want an all knowing person...
That part 👏🏾 Employers no longer want to take the time to train new hires. It
True. This will hurt companies in the long run. Back in the day almost every company had an onboarding training program/ process where they trained you in their technology or what you would end up doing in the job. They dont do that anymore and expect you to know everything before they hire you. This is unrealistic and will be one of the things that one day destroys many companies and the job market economy.
@ai_sikandar lying
Employees also want a all paid salary in the begining.
They want experience person and pay then entry level salary. That's what I see in software and hardware. They do this because they know you need a job and you be willing to negotiate.
Soldier is the most stable job for the next 10 years.
😂😂
Or a sex worker💀💀
The navy recruiter I talked to damn near convinced me to stop taking antidepressants and get my braces taken out so I could do cyber security for them. The fact I'm actually considering it when I'm just a freshman in college 😅😅
no silly, getting blown up is not stable
A professional singer like Michael Jackson, Elvis Presley is a very stable career
I graduated with a Data Science degree and applied for a handful of data analyst jobs and a couple of Jr. software dev roles. None of the data jobs called back after the initial interview but I was offered a dev position just for doing their code test well. That was a couple of years ago. My salary has been bumped up twice since then and I've been promoted once. The data career seems to be growing further and further out of my reach! I totally love software development now! Help!
Great work bro, one question how did you learn coding so quickly?
The reason: AI
@@Mememaxing Basic programming/algorithm courses and intro to databases are already part of my degree, and we use plenty of java, python and R in the advance ML and statistics classes, so coding isn’t really a problem. I did take a week to practice sample coding interview problems online before the coding interview. There were definitely a lot of new things to pick up during the first couple of years on the job. AWS services, containers, and new web frameworks. Also JS as a new language. But it was alright.
@@juliocesargarcia7218 Nah, my company mainly deals with app and web development. Since ChatGPT came out I’ve only been using it to generate mock JSON data for testing code. Really don’t see much application of AI to our processes at this time.
why u need help ? U doing great SD job and and according to you it pays well and you also loved it 😂
100% agree, based on my own experience. I got into data analysis with a degree in... geography. Specialty: climatology. Climatology is essentially big weather data. My first paid job in Canada was a 3-day contract, having to fix an H.R. report on a Foxbase platform. My most recent one was a 15-year stint as senior data analyst in the corporate finance department of one of the major Oil & Gas company in Calgary...
Hey can i contact you somehow?? I've recently graduated with a degree in Geography as well and right i want to get into the Data field. Need your advice. Will be waiting for your response.
@@mewappleby2292 I got in contact with a researcher in climatology and he got me to write programs (in FORTRAN, back then!) to quality-check and do statistical analysis of climatological series. I actually worked 5 years in a succession of smaller contracts for that researcher's lab (France's CNRS) before eventually branching out, once these contracts ran out.
how's the job market in calgary?.
@@mpo2476 Usual ebb and flow driven by oil and gas prices. Boomed last year when both oil and nat.gas were expensive, now in a bit of a downturn with still high oil prices, but low gas prices.
Lol you turned to the dark side based
Data analytics and Data Science is becoming just a skill for people with Master's degree. Almost all jobs with Master's now require you to be good in analytics and 17-25% of final interview will have analysis. In healthcare, informatics / public health / and healthcare data analytics need you to be good in Excel. Have a good idea what SQL, ( R or STATA), maybe a bit of python, and if majoring in analytics, be good in SAS. If data science/analytics is a second degree, with first one being a professional degree, you're almost assured of a job and a high paying one.
Example: A healthcare/hospital wants someone to run an analysis on quality of patient care. A doctor/ nurse / CDIS expert with coding will do it without asking what you are talking about. The already know the parameters needed, and what dependent/independent variables to compare, and they will run tables/ charts and tests significance. The information is already in healthcare charting app like Epic. That's it. You have results and a report in a single day. It's not just about numbers!
If state or government jobs, you have to show at least 15 units of that skill in your degree and if postgraduate, must be a degree of more than 1 year duration in Masters.
Developer (Non-Core IT), BI Developer, Business Analyst, Business System Analyst, Data Specialist, Data Analyst, and Data Scientist all falls into the same career families. But each of the title functions differently and required different experience, hard skill, and soft skill, while I consider Data Analyst and Data Scientist are the best ones as they are required to have developer SQL skill, business knowledge, data modeling skill, data analytics, root causes analytics, BI visualization skill (Tableau/Power BI), project management skill (Agile JIRA), accountability and responsibility, communication skill with professional email tones, and the ability to assign tasks and push back tasks when the task fall out of scope.
Data engineering?
@@sss6678sss Data Engineering is good too but then they just design and establish the infrastructure of database; while they could not care less on what the actual data issue, reporting, and visualization would look like once joining the data together. I have met many of them and they did gave out a vibe that they only care about the DB design and access restriction, while many of them are either outsourced or contractors. So didn't really build a "coworker bond" with them where they will less likely to do above and beyond with the contractor status. They do the minimal required and not as helpful when compared to Data Analysts and Data Scientists.
I made a switch to data analyst and was hired although I had almost nothing to show. Most likely I got hired because I live so rural that there was no competition.
Hm makes sense, I guess that's why on site / hybrid jobs are easy to get
I’m willing to move to anywhere to work.
dang where is that
I started with building a portfolio and then instead of applying for a full-time job, I was applying for an internship. I have two data analyst internship experience before becoming a full-time data analyst, in a different company
Can you tell us more about your journey sir?
Great job!
I'm a univeristy student and I'm curious about your internship stories!
hi friend can you please help me
Were you a student at the time you got the internships or no? Most internships require you a student going to school, also were these internships paid or no?
Companies do shady stuff too though. IN my country they started labeling sales jobs as data analyst, or engineer, or manager, making it harder to find a a proper analyst job
These companies are usually toxic and their retention of employees is poor. I know bunch of people who great at sales but dread taking any role in sales and marketing.
Honestly speaking in Kerala all the youths are preparing for GMAT and IELTS and leaving this place because there is no job opportunity
@@enochchronicles12767 This. I took my first "Data Analyst" job about 4 months ago and while there is _some_ of that, the vast majority of what I actually need to do has nothing to do with data analysis and it's no wonder why the person before me quit so abruptly or why the other analyst confessed to me that she burned out before putting her notice in. I have to take on her tasks while they look for yet another person which, surprise, have nothing to do with data analysis.
In my country it's worse, they've always called those who sell financial products as "financial analysts" or something related to analysis
i have a finance background but id prefer to do more data than actual finance...with my work experience i have more advantage in customer processing roles. Honestly i just want an easy job that pays me 45k to 50k. Enough for me to save and to afford a vacation each year. I dont need no high stress job thats gonna cause me wrinkles/stress and grey hair lol
and im in canada in case anyone is wondering. id be royally fucked if i was in usa with anything less than 50k xD
I was just thinking you cannot possibly live in the US. I make 42k but, that is NOT enough to live by myself with😭😭. I’m thinking about getting into healthcare analytics
Try Finance analytics
You should consider applying your skills to another sector like law. You’ll have very little competition.
@@thelegalengineer Law is not that simple. I’m not sure where you heard it was, but it’s not.
After having gotten double ghosted from a Healthcare Data Analyst job last summer in which I was one of the top candidates, I had given up. Shortly after, I landed a seasonal Tax Analyst job that I am currently doing for the tax season. People tell me that I am ready to apply for Data Analyst jobs now, but I am actually waiting until I see how my performance is with my current job and completing a couple of in depth portfolio projects each taking well over 80 hours each to complete utilizing Python and SQL. I figure this will add more strength to my resume then only being able to put jobs I have had such as Deli Clerk, cashier, Helper Clerk, Personal Trainer, etc. I figure having domain knowledge in both healthcare and taxes/accounting can only be more beneficial.
80+ hours for a project? You are committed!
@@Gsogreat I come up with a scenario in which a business/organization might want to have the insights from data to help them achieve an objective. My current project is looking at snowfall and depth trends over the past 50 years. Though it is investigating snow fall trends based on weather patterns caused by surface sea temperatures, I am also attempting to predict future snowfall/depths. I could spend several more hours trying to find the best prediction model, but I figure that would be overkill for a portfolio project in which I'm simply trying to land my first Data Analyst role. I figure once I land my first role, I can dive into more challenging topics more related to Data Science and or Data Engineering.
I think we also must fully adapt to what's normal, now. Yes, the Boomer advice "walk in there and give em a handshake" is dated, but also the modern truth is that you should just expect to apply for hundreds of jobs to get one, assuming the job is desirable. That's normal now, so if you've applied 250 times and nothing? You've only got started, and this is not a sign of failure, polish what you can, continue applying. The other important thing I've heard is that, at least to land your first job, you must consider relocation. To escape that tired town, you may need to actually leave.
When applying for my first job I downloaded a program that automatically filled in most applications. Applying for a hundred jobs took about an hour.
The program used was Dashlane.
@@JakoWakoWhat's the name of this program please?
@@bradpittman3821 Dashlane, although there may be better programs nowadays. Best of luck with the interviews!
@@JakoWako how did you do that
@@fernz1361 The program was called Dashlane
you said think "what value you can provide". actually in real life that sadly isnt the case, the value you will provide usually correlate directly with the tasks you get and thats not up to you and also happend AFTER you get the job. as a candidate you should just do 2 things: 1. try to be as much close in apperance and attidute of current employees. good fit to company's culture is crucial 2. pass technical interview, you dont need to be much better than the others just answer the questions. thats it
14 years in design industry and this was awesome to listen to for me as well.
What design industry? Like CAD modelling?
I work as a 3D artist currently
@@lavatr8322 Mostly Graphic Design early on. Which evidentially exercises UI UX Design (mostly UI). Print and digital marketing, branding, Style Guides, social, packaging, EDMs, catalogues, some video editing and photography, you name it I've done it.
Last 3 years, I'm heavy on Software, app and website design, officially a UI UX Designer, predominately UI design. Current job requires lots of reporting, Power BI, etc. ;) how I stumbled on this.
@@lavatr8322 Just curious. What are your major industries that have been using your 3D skills? Is it real-estate? Are there enough job opportunities? I used to design for fun in Cinema4D :P
My little brother finished a 3D bachelor few years ago but ended up being a coder. I think mostly because my father got him a prime data administrator position, and is coaching him through it. Not sure.
Data Analyst titles can go up to Level 6 (DA (New Grad), DA II (2 yrs), DA III (4-5 yrs) , DA IV (6-7 yrs), DA V (10+yrs), and DA VI (15+yrs) and each level should have around $10-15k pay bump if looking at the 100% compa-ratio across. A great analyst need to equip oneself with the following: integrated SQL/programming skill (Oracle, SqlSvr, DB2, R, SSIS & SSAS, SAS, Python, Databricks, Snowflake, Pyspark, VB Code, Power BI, Tableau etc), analytical skill, can-do attitude, business knowledge, relational database knowledge, documentation skill, communication skill, visualization skill, leadership skill, and problem solving skill (instead of bringing just the problem on the table to the manager). While some DA will gear toward Lvl 6 as individual contributor, others would gear toward managerial role after lvl 3 and lvl 4; since the paygrade for an entry level professional manager will be equivalent to DA lvl 4; and director level equivalent to DA lvl 6.
Thx!
All career fields ebb and flow and gradually change day to day. The skills and tools required for Data Analytics are applicable across many fields in many industries. We're still at the relative beginning of the Information Age. Think of yourself more as an interpreter, and data is your language.
This is so true
"Boring companies" - AKA the ones you actually will create and produce something that doesnt get squashed 3 years into development.
This was really encouraging, thank you so much for making this video!
Glad it was helpful!
not gonna lie I'm very uncertain about this career path since I'm just starting to learn this year. I'm thinking of keep grinding and learning then if I can't find a data-position I might just have to work another job where my skills can be helpful (automating little tasks, calculations, cleaning excel sheets, etc...)
You're not alone my friend. I've been in this journey for almost one year now and I'm really thinking about a plan B and start to look at other jobs in the tech industry
I'd recommend finding a way to implement what you learn into the job you have, and grow In that role. Find ways to show off your skills and prove its usefulness.
You should consider applying your skills to another sector like law. You’ll have very little competition.
@@fabifernandes2024
Same here.
I regret choosing this career path
I would be cautious about choosing a career which has a realistic chance of being obsoleted by AI in the near future. Unless you plan to rise above and be exceptional at your job, this path is looking like a dead-end.
Oversaturation. Everyone got hyped about coding so everyone got an SWE degree and took bootcamp and grinded leetcodes. Then Data science got hyped so everyone jumped on that, and then it was machine learning/AI and people are jumping on that. It's like the goldrush, if everyone got a shovel and shifting the river bank for gold, how many of them do you think will actually become rich? The only people making money are the people selling bootcamp programs and classes and guides LOL Not many people remember but the most popular engineer degree in 2000 was actually bio-med and arch engineering. Those got oversaturated real fast and people started moving to EE and CS........
I really needed to hear this. I have been applying to entry level data analysts jobs in India for the past three months. I haven't got any good responses yet. I just keep improving my skills, resume and portfolios.
I have been doing the same. But most data analyst posts require experience. Just need to keep grinder
In the U.K., the best starter jobs for a ‘data analyst’ are not called that - especially in healthcare.
@@snackplaylove what are they called then lol..
@@twosides2504 This is the trick, different jobs have different titles for the same thing. I'm trying to break into the game industry yet the entry job Game QA/Tester has so many various titles I can't just punch one title into to google and find them all. The graft is finding the jobs first.
Hey Im on a same path...wanna join??? So we can improve together
One quote I got from the movie 3 idiots is that "Don't chase success, choose to improve yourself and become best at your field and success will come running for you" I think this quote sums up the message that you're trying to convey
not easy bratha
Everything is hard, choose your hard brotha.
You know this month I have just got my postgraduate diploma in data science and I have applied for over hundred jobs but I did not get a single call from any company. It’s really frustrating to get constantly rejected even though I have six years of work experience and still can’t land a data analyst job.
You should consider applying your skills to another sector like law. You’ll have very little competition.
this is very scary. thanks for sharing the first hand experience.
Apply to job titles in other industries like financial analyst, marketing analyst, healthcare analyst, etc.
Did you do any internships in schoo
Why don’t you start your own business, then call companies to try to parter with them as a business associate?
172 applicantions is still only a third of the applicatants that thr job of public highschool teacher gets in my country... Hundreds and even thousands apply for the same job here. It's terrible.
I graduated with a degree in statistics. Have knowledge in cleaning datasets such as removing null values, dups, or potentially harmful variables. I know how to do linear regressions, KNN, basic stats(std dev., max, min, mod), understanding p-values, understanding confidence intervals, SQL, pandas, matlib, python, R. Took advanced math course, got a degree all for nothing.
It's all about the timing and prior experience. Which is BS for people trying to eventually become a data scientist. And what suck is that those who aren't that qualified still some how land the job. Obviously, my approach and my mindset isn't great because of many disappointments, but the reality is still there. It is what it is.
Those skills have low value unless coupled with business knowledge...
@@dallysinghson5569The business knowledge aspect in a data scientist is used mainly in their "question they are trying to solve" and is reflected on when they write their reports.
I thinking learning some business knowledge on the job is a given for most white collar jobs.
You need a masters. Bachelors is no longer competitive these days
It is bs I graduated in 2018 with the exact same skillset and was applying to 100s of jobs and had to move across the country for my first role.
The fact is though you can wallow in your despair or use it as fuel to build better projects, learn more skills and develop a killer project portfolio.
Whether you spend your energy being productive or playing games youll still be miserable but one is going to put you ahead along the axis of time.
Dont give up and keep trying, keep working hard every day and building projects and in 6-12 months you will have a job or at the very least be an expert in a few more skills.
You can spin up an AWS server online, data.gov has large government datasets. Build a data enginerring pipeline to get it into an AWS server and run some analysis.
Find large websites with APIs for their data and stream a pipeline into your aws or sql database and then automatically update your analytics dashboards and models from it.
This is something you can do in 6-12 months if youre smart and you can easily be at a senior+ level by then.
One more note. 150 applicants for data analyst job. 10 analyst jobs on the site. It means that pretty much all 150 applied for each of those jobs. This reduces competition to 15 per job. Top 10 people will be hired. Just an example. Still sucks.
Nope, less than 10. Because not all will have the necessary skillset.
Remote jobs have done the same thing Tinder has done for getting laid with women. The Giga Chad analytics professionals have multiple positions simultaneously, and they've crowded out all the subpar analysts. Plus tons of people are coming into the field because it is one of the most common remote jobs and people want that work from home life.
Its joever
When i first started this field in the late 2010s, nobody wanted to be a DA. Now everyone wants to be one. They don’t care about tech or data, they just want to work remote.
Im very mad at this video. I did a master on data science. We were 12 people, only 2 get a job in a year!!!!!
Can u live without a job a whole year? Of course no
The job market is over saturated. Just look at the number of applicants on a given linkedlin job posting.
typical US think-positive perspective - instead of asking why it is even the case one is qualified and still needs to act like a beggar to get a job
I interviewed to be a Data analyst. But I’ll admit I didn’t look great on paper so I was hired instead for my process improvement skills specifically as an admin. I have general programming understanding in most languages and almost completely done with my masters. But I was willing to take it because I was that much closer to the role I wanted. I am now on teams as a visualization sme and teaching. I had to just get my foot in the door to show what I could do and now they are happy and they also pay for all my certifications and training - WIN WIN.
You didn’t mention that many companies are posting new jobs but in India not in US anymore,
Don't you think AI will take over a data analyst place? Even now AI can gather, clean, aggregate and visualize the raw / big data. Makes me wonder if it still make sense to learn that as a beginner or choose another path
I’d say yes bc even though AI can do it, it still makes mistakes. In order to draw insights from data, you need to validate that all the analysis and calculations are correct. AI is prone to make wrong inferences from small mistakes that could be corrected with a data professional overseeing it.
I appreciate your input, thanks for the reply!
Not really. The contractors running specific and flexible AI Apps (individually owned by these contractors and patented) will take over the jobs. This is becoming an every day norm in the healthcare. Outsourcing had become normal for data analysis and revenue cycle. Big ones are like Optum, but there is a presence of small, localized one sprouting everywhere.
@@petermwangi2032 wdym healthcare?
Devops, MLops, Data engineering, Systems engineering is where the demand will always be. This is not taught on schools
Exactly. They’ll constantly hire and fire Analysts and Practitioners; but DevOps and MLOps are much more stable.
Plan ahead, I am a working adult that is working on a degree in data analytics while having a huge portion of my tuition paid for by my employer, and they are letting me do my internship in the company and my manager introducing me to the people i will need to know to get a data analyst entry level job. Planned as far as getting my masters as well and certifications all on the company dime. This is a Faang company as well, but set out a strategy and have planned my path out years in advance and my previous field was highly competitive and high stress so nothing new.
What is the company name if you dont mind or atleast what is your current position
@@vincebandgogh I am at the wherehouse at Amazon moving to the IT support roll in 2 months after I finish my certification then will work while being a full time student. They offer tuition payments to all employees after a certain amount of time. There are around 20 people I currently work with that are doing the same thing for various degrees, it’s just that most people don’t want to have to go back to school and work.
The cheat code for us no degree people is the tuition assistance. I am going for my degree and CISSP now at 41. It's gonna help me climb higher because I am already 20+ years in. Much harder for those just coming out of school and trying to get into the work force AND they took on the debt.
@@ryox82 smart play, I told my kids who are in college now that if it’s possible try and find an employer that will foot the bill or help out a lot. I know there are several companies that will pay for tuition up front I think Boeing is another that will do that.
i feel that this data analyst skill will be ubiquitous for every freshies then in future thus to learn it now is the second best time after yesterday.
yes and I'm beginning to see work where a data scientists could have helped but we don't have the money so we took courses on our own to ramp up and do the work. I'm not as good as an actual DS but I can do basics that is enough for the work.
Imagine, I have no degree and only have project experience lol its a nightmare. Since the beginning of October I applied to 26 jobs, ONLY 1 company has shown interest in giving me a look. I passed the assessment test they gave me last week and on the 7th of November I have the first interview. Just don't give up that's all I can say and I'm here hoping I will nail it and finally get my foot in Tech, and I hope all of you guys get your shot too!
how did it go
@solace6168 it went great! I was really nervous cause I'm still learning SQL so I thought they would hit me with more SQL assessments. Instead, it was a behavioral interview and also a "get to know you" thing like in a first date. So I'm going to have to wait to hear from them regarding getting to the 2nd stage of interview. Which is good for me so I can practice, especially I can finish my Snowflake certification, which really will help me stand out and be more confident
@@countmindloshow long have you been at it?
@him4440 going into my 4th month of Data now. But prior to that, I was doing software engineering since last year December.
You should consider applying your skills to another sector like law. You’ll have very little competition.
The reason why data analyst job is looking dead because of data analyst bootcamp is being a trend after pandemic until early 2023. It is already over populate of people that graduate just with this but the job is not as many as the graduated.
And now, this will happen again in 2024, the trend will change into AI engineer bootcamp and the result will be the same with data analyst.
So my suggestion is stop walking with the trend and find out your own.
I really disagree with a lot of the things said in this video.
Employers are really cruel and aggressive with everyone, you can be more skilled as a beginner than someone who has had years in the field and still be wrecked because an employer decided to throw a fit on you.
I feel like you diminish the idea that employers and HR are possibly the most absurd and degenerate human beings in existence. More often than not it's a shitty employer that gatekeeps literally everyone, it's not always the applicant's fault like you say.
You should quit your current role right now and become a job seeker before you spout all this nonsense about applicants being the bad guys.
So are you gonna keep crying about the bad employers? Grow up, if it was the scene with everyone why would freshers be still get jobs.
@@ScarletBitch29 I don't know, maybe they like people who like you who lack integrity and go by names like scarletbitch on the internet more than people who actually work hard. Maybe they are afraid of being replaced by people who know new tech, maybe the sunshine isn't so bright in their eyes and they just love people they can take advantage of so they can make their lives actually mean something out of a superiority complex. You should ask them and find out.
I literally had a job interview where I suggested that this balding little shit almost 60 look at my portfolio before he kept talking shit about me, didn't even let me prove myself, and the cheeky ass clown literally said "no I'm not going to do that" to me to my face. You don't know the world, and judging by your decision to scold me on the matter you also haven't aged enough either.
What if HR is just another human being, without deep knowledge in technology, also trying to find the best fit for their company in order to alleviate a little bit the burden they are also carrying from their side?
If you see them as enemies, it’s you putting the conflict in that relationship.
HR/Managers get recognized by good work when they solve the problem effectively. If HR/manager hired someone who was not capable, they will be seen as not capable for hiring.
I do agree that most non-technical people look for certifications, big names on CV and etc. Mostly because they don’t have sufficient technical knowledge to evaluate the technical skills of the candidate. So, they have to rely on those big names that, in theory, are respected from their high education.
HR and non-technical managers are just lost in this sense… they are just trying to navigate as you when you think that big techs would do a better technical work comparing to any other company.
That is why usually the interview processes are divided in 2 or 3 parts. Being one for HR get to understand your career goals, and another where a technical person (a.k.a engineer, a.k.a a guy like you) would have a closer look on your technical skills.
Now, it is up to you to get some sympathy from your future peers. As it is up to you to wrap your amazing life history in a pretty package to be sold.
Quit crying. No wonder no one wants to hire you.
Hi , Lukas can you please make a video on how to search for the right jobs in the data , because job title varies from organization to organization , for example i search jobs through skill like power bi and job comes as power bi developer , bi consultant
I had that same question too!
Some organizations do not label the job correctly. Power bi is Power bi whether it's a developer of reports or a bi consultant.
Have my masters and im struggling and i work in Mass. Cant even get an interview ffs and im crazy underrated.
I'm working as a frontend developer but I want to change my career.. because I feel "frontend development" is boring (no offense to whoever loves that )
So I'm trying to land a job in data professional roles especially.. but I'm struggling with any advice on how i should approach this path
Guys listen....keep grinding...keep upskilling ...stay relevant to modern needs .. .stop listening to these guys ..almost all of youtubers are talking that there is no job out there .....but it's not true .....these channels are just earning views by raising such false claims.
This is refreshing
Too many people in the market. You need more than certificates and a degree. You have to couple those with prior work experience.
Right but how does one get the work experience needed to prove you can do the job, if you can’t get the job that gives you the work experience?!
You should have strong knowledge of a couple of subjects and be curious about the remaining. But usually job position involve knowledge of a bit less then EVERYTHING, that’s it
Interesting. I’ve recently started to learn data. I am currently a talent advisor so I am trying to take what I learn and implement it into my current role to show trends, correlations etc… my management team love it and it’s giving me real life experience!
Of course they don’t pay me more tho :( lol
I have mostly been a business analyst but have had a few data quality and with jobs. If I'm going to be finishing up a master's in data analytics and business intelligence I'm wondering if my industry knowledge will set me apart alarm with the analytics degree
I got an job as an it help desk and able to transfer within my company starting as marketing data analyst Monday
How did it go
this sharing is might not necessary but I’m gonna do it regardless. I’m a student in Applied Math n currently internship at a big accounting company. Honestly, my target was to get a place in tech company coz that’s what we used to expose on in school n they value programming (I like programming stuff) so when I start to work on this accounting company as analytics intern, I was so surprised. Due to lack of staff with skills, the data management are (very) messy. they rather pay expensive software than hiring people with skills. but they are open with the idea of how do I think I can optimise the sources. coming from math background, I see a few things that can be improved but due to understaff, they almost have no room to improve the system, coz they need to focus on maintaining
So, to students that enrolling any related data field, don’t give up! You with the skills, always be wanted. They want to see your new pov in order to improve their overall quality
and don’t forget to connect with people in industry! expand your network
The "value you provide" is the people who are willing to work for half the fking price in this economy that's the reality. There is a difference between not getting the job and no jobs available. I search up junior data analyst and get 2 or jobs in this highly competitive market it is useless to put effort and apply.
You should consider applying your skills to another sector like law. You’ll have very little competition.
If you can do the job and cant get the job, lie on your resume.
That’s hard if you don’t have related experience.
Sounds well and good.... until the interview questions get very technical.
Why does everyone want to become a data analyst anyway?
Highly informative video 🙌
Just 100s of people huh when i open LinkedIn and try to apply fpr any sort of dev,testing,etc.. internships there are more than 1000s
That's interesting. Where are you located?
if on 50 people only 5 get hired still there is too much competition to me
You can do it!!
Is it still worth doing MSc in Data Science in 2024?
thank you, I needed this
should give folks a wake up call by going through a resume of the typical new-joiner analyst at Google.
Lets be real. If the job you are applying on linkedIn has less than +200 job applications your role is either among the more senior roles or the less saturated industries.
This is such good advice. The amount of people I noticed that lack grit, perseverance and then blame it solely on external circumstances shocked me after university.
what about if you have a bachelors degree in software engineering with 5+ years in development, do you think an IBM data analyst certification would help land a job in data science?
You could just do it as part of your continuing self improvement and APPLY the new skills as you learn them. Would certainly help as you interview in the confidence department. I am a manager now. I am not a developer at all, but would be pretty cool to create a python script to help with home brewing Identity and Access solutions and having that under my belt.
You should consider applying your skills to another sector like law. You’ll have very little competition.
I wanted to become a UX designer so I first took a bachelor in nursing, then social sciences and then one bachelor degree in computer science with minor in design. Still couldn't get a job even though I have the best referals. SO started on a master degree in business and hoping to transition to data analytics now that I have given up on UX
You dont need a degree in Nursing, social work, and computer science for UX Design. Those are completely different fields
@@kolyxix How else am I too get a job in the field? Nursing for communication and understanding people, social sciences for keeping an open mind and understanding people, computer science for tools such as Figma, adobe and communicating with developers. What else is there to do?
@@finnj3976 lol, ahahh. You dont need to be nursing degree and social sciencr to understand people, you only gonna be taking on student loans. But if taking on loans and student is cool with you, then go for it.
???
I am gonna say this again
This channel is most underrated channel in data field videos 😮
can you tell me or make a video on what to do after completing the IBM data science certificate
Bro ...have completed IBM course..is that worth?
Let me save everyone the headache from wasting 8 minutes of your life.
Video of why everyone is struggling and tip:
- People got let go.
- They were experienced.
- Now experience people are competing against beginners and other experienced people on the job market.
- The tip: I believe in you.
Man, thanks for wasting =8 minutes of my life so I can save others from going through this.
What a pointless video.
@@wicknoh tnks
Literal waste of time. No valuable insights. Told stuff that is known for 100 years.
Funny you mentioned 100s of applicants at the time you checked as I have pulling metrics and consistently seeing job posts with at least (at least for those tracked on linkedin) 3k+ applicants. Not to mentio, a job search with data analyst will pull many non analyst positions as it is pulling keywords not titles. Its amazing how much worse the market is at the moment. I will say just keep trying is the way to go BUT if we are being honest it’s THE only way to go because that is the only option. Hope everyone has luck out there but this video feels like it was only made to generate the clicks and money not of anything beneficial or of substance to a large amount of desperate people. You want to be hired just keep chugging projects or even volunteering your time for free to build work experience and portfolio.
oh thank god I've watched this before i choose my major... I'm gonna go with softwarw development instead, tho data analyst in Philippines still probably is alive but still
its only gotten worse. theres thousands of lay offs a day now but it's still possible to get one. its just a lot of hard work
Just keep grinding it will come.
still havent found a job lucas, but i like your attitude...
You should consider applying your skills to another sector like law. You’ll have very little competition.
@@thelegalengineerare you kidding me? how does that work?
@@Gsogreat Lots of law firms have big budgets reserved for software development. You can either work full time or free lance for them. Alternatively you can work for lawtech companies that develop software for lawyers. I know plenty of lawyers in my network that are hiring for software engineers
Hi, I am apart of the set of "everyone" and I am not struggling to become a data analyst.
Employers who are not serious will lose out in the end. Most of these jobs have been over exergerated. Lets face it. Some People work as data analysts without say knowledge of python but with only SQL , Relational databases and tools like POWERBI and even Excel in the real world. But these employers want more and more.... They even want people to know AI and prompt engineering..kikiki.. So the problem is EMPLOYERS
Because it is the same as being quant back in the day (2008-2013). People that had no idea about basic stats try to get into data-related jobs and try to fake it till they make it. It's not a job market problem, it's people's problem aka impostor syndrome.
It's all in how you frame your skills and experience.
The fact that people are begging for a meaningless, boring job like analyzing data for a corporation is sad 😭
what do you do for a living, just asking please don't be offended
@@ogheneovovictor9961 im a truck driver and im thinking about going into tech, the problem is I already make good money 120k a year so Im wondering if tech is even worth it at this point
The world is so fucked up that many people would dream of making a living just by analyzing data, even if it seems "boring."
Brother, any job you do is "for a corporation" in some capacity. Unless you're completely independent and self-employed, I'm sure the same could be said for your job.
Honestly the fact that you wrote that is sad on your behalf. It shows a total lack of comprehension. This clip was basic, but your reply beat it to a pulp.
Eh i do notice almost no ads or openings, no one getting promoted or being able to job hop etc. definitely not just complainers being loud. Though I do think there is a mismatch of some awesome people stuck unemployed and many useless people with jobs
Lukas do you know the guy in the meme at 0:36.
wow. that sucks. I think i'll take the data+ cert and stick with cybersec. If there is no market it's not worth it
I'm not an AI or data expert by any means. But the question that comes to my mind is, can most data analyst tasks be done by AI? If so, maybe this is the main reason?
If the company decide to hire an AI Engineer to create an automatic template for each of analytical report and give feedback based on data history, so yes the task can be done by AI.
AI can help the developers in doing small tasks like coding, arranging, etc. Only humans can make it to the full potential, btw you can't give data to AI as you have to maintain the privacy of it.
Hi, what application is used to make this video?
ngl, hate these kinds of videos now.
cus you peddle coursera certs only because they make commission for those who don't know better. for example, i was "awarded" the google data analytics cert after 3 days of non-stop studying (i just did the quizzes in the end) during the 7 day free trial.
a bachelors degree and/or relevant work experience will always be king.
and if you can't get those, then projects and certifications (which require EXAMS to pass) are far better on a resume (for at-least an entry level job).
It's why you can land a $40k help-desk role with simply an A+ certification (which requires an exam to pass).
Thankyou for this ❤️
Thanks for the Encouragement. How important is the portfolio if you already have 1 year of experience?
Summary: Acknowledges external factors leading to difficulty in job acquisition, and then says it's ultimately because the people who fail are complainers or not working hard enough. Then proceeds to "show you how". So we have FUD, "work harder you whiner", and then push how-to.
skill issue, I have no problem getting interviews
I definitely needed to hear this video. I'm taking a certification in Data Analytics atm via Coursera. I do have a question though.
The video suggested building the portfolio and do projects. But how do you do that if you don't have a job? Go freelance?
That's the downside of online certifications.
And here in my country no one gives a shite about certifications. Especially online.
And not even via offline private institutions.
It's very hard here to even land that first internship opportunity
Take a few courses on data camp and RUclips. Then make your portfolio.
Is DSA needed for Data Analyst job
Thank you!
THANK YOU FOR THIS BRO
Thanks for watching!
Like Him Rohn said you get paid for value
Very true
Love this thanks
I love your advice; thank you. I want to learn more about data analysis so I can help "prove" why a new feature or improving a new feature needs to happen. I believe that data can answer those questions.
you make it sound like people apply to one job then give up and cry on reddit. If you actually listen to the people talking about their struggles rather than immediately blaming them, then you'd see that they've made over hundreds of applications, sometimes thousands of applications and still can't even get a job in a shop let alone in their field even with their 10 years+ experience. You can try to be positive and motivational but you don't have to debase people already struggling and ignore reality just to get views and likes. When you've been ticking all the checkboxes and running on a treadmill for months and still get no results, at what point will you accept its the job markets fault and not yours? If loads of people are complaining about something, then its probably something that genuinely needs fixing, just because you don't have a problem doesn't mean everyone else has to be happy about losing their roof over their head for the #grindset.
Is data analyst has a future or not ....is it good or not..to learn
Its good when you invest 5-8 years on it and become Senior (Lvl 3) or Consultant/Lead (Lvl 4) titles and make over 100k annual working from home with company paid laptop, monitors, and wifi. Principal Lead Lvl 5 is 150k. Lvl4 is equivalent to a manager lvl pay and Lvl 5 is senior manager, but need not to babysit people but babysit projects and system processes.
Nah, AI will take over
Where’s the video?
I got a junior position in 3 months, it is not that hard.
Can you explain how you did?
do you have any CS, Math or Statistics degree?
@@levaaaaaan I have an msc in physics from a european university . I just applied to many jobs and got an offer, nothing special
Did you self study or you went to a Bootcamp?
@@missdesireindependance5194 I studied physics in Europe, got my master degree, got a job in 3 months.
We want reality ❤ as you are trying to convey.
NOT 100%. This is because unfortunately there will be certain people who can try FOREVER and NOT land their data job. Money is tight so they go and pick something else so they don't go homeless. I work with data easy. Yet seen co-workers act (seriously) as if they never used settings.