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Avoid the most common data analytics job search mistakes and learn what actually helps you land interviews. In this CareerFoundry webinar, Alex Freeberg shares seven lessons drawn from his own early career, including why networking matters, how to tailor your resume, and why a portfolio can make your SQL and data skills easier to prove.

He also explains the value of building an online presence, researching companies before interviews, and working with recruiters instead of trying to do everything alone. Along the way, he shares real hiring experiences, practical job search advice, and examples from data analyst, business analyst, and data science applications.

Created for anyone searching for data analytics career advice, data analyst interview tips, resume help, networking strategies, portfolio projects, and recruiter guidance. Ideal for job seekers, career changers, and beginners looking for a webinar on how to break into data analytics and improve their job search.

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Transcript
00:00:05hi everybody welcome to another career foundry event this evening i know that a lot of people
00:00:09are joining so those that are joining in big marker drop your name where you're joining from
00:00:15and maybe because this is a little bit of talk about mistakes it's a little bit like a confessional
00:00:20maybe what mistakes you've done in your career so far we want this to be as honest and engaging as
00:00:26possible so do drop any comments that you have in the public chat and any questions that you may have
00:00:30also in the q a tab because at the end we're going to be having a live q a where
00:00:35you can ask alex
00:00:36anything let me just introduce myself and career foundry briefly before we kick off i'm william
00:00:42events and communications lead here at career foundry i see one person can't hear anything so
00:00:47if there are more people that can't hear anything please do say something um i hope you can hear me
00:00:53um but yes i'm william events communications lead here at uh no audio hello no audio alex can you
00:01:01hear me i can hear you i don't know if they can hear you good saying audio okay it's a
00:01:06mixed it's a
00:01:06mixed crowd okay some people can some people can hear me some people can hear me one the one thing
00:01:12i would say is that anyone tuning in on big market it does work best on google chrome so do
00:01:16check that
00:01:17out and keep me posted if you can't hear um as i was saying i'm william events and communications
00:01:22lead here at career foundry and career foundry is the online school for your career change into tech
00:01:26and we guide you from complete beginner to a job ready professional in data analytics and
00:01:31help you land your first job in the field so we're not any old school um our programs are so
00:01:36flexible
00:01:37that you don't need to quit your day job and we have a dual mentorship model so every student gets
00:01:41a
00:01:41mentor and a tutor and we also have a job guarantee so if you don't land a job within 180
00:01:47days
00:01:47after graduation um if you're making a lot of mistakes um on the way you will get a full refund
00:01:54so that's our job guarantee any questions about career foundry do book a call uh in the description
00:02:00below on on youtube or um with one of our group advisors um on big marker but i would just
00:02:07say one
00:02:08thing we are very very happy to welcome alex back to the career foundry channel once again and for
00:02:13anybody in the career foundry audience do check out alex's youtube channel alex the analyst there
00:02:19is some fantastic content over there all about data analytics also specific tools and uh general
00:02:25advice so do check out alex's youtube channel uh and you know i'm going to disappear now alex i think
00:02:31you should take the floor for the confessional seven mistakes to avoid in your data analytics job
00:02:35search with alex awesome awesome thank you and thank you everybody in the chat i see you guys
00:02:40uh and i really appreciate the warm welcome and there's so many people from all over i love
00:02:45seeing where people are from we have like slovakia and egypt and just all over it's awesome so hey
00:02:52everybody uh my name is alex freeberg uh if you don't know me i'll go to this next slide real
00:02:57quick
00:02:57this is me that is my picture um i am the ceo of analyst builder where you can prepare for
00:03:03technical
00:03:03interviews i also have a alex analytics consulting company where i work with tech companies and tech
00:03:09startups on a various uh array of things and i specialize in sql python cloud applications and
00:03:16some other stuff as well but that's not interesting and of course i'm most well known for uh you my
00:03:21youtube channel alex analyst um and of course i have you know linkedin and twitter and all that good
00:03:27stuff so you know check me out if you're interested there's people from nigeria uk mexico
00:03:32south africa i'm just seeing more people come in london argentina this is awesome i love all the
00:03:37people from around the world i i have um i have a lot traveled to a lot of these places
00:03:42but i have a
00:03:43lot of places on my bucket list from a lot of people who like are on the channel who i
00:03:47uh i get
00:03:49to talk to and they're like you gotta come here so i'll come to your place one of these days
00:03:53now i'm
00:03:54gonna get started in just a second one thing i want to say though is william and i were talking
00:03:58beforehand he's like i like this topic of mistakes um because like he said it's kind of like
00:04:03a confessional and for me it's it's kind of like therapeutic because i get to reminisce about some
00:04:09of my early days of trying to get a become a data analyst and they were very very very challenging
00:04:15and
00:04:15i made all the mistakes you're about to see are they come from personal experience it's alex made
00:04:21all these mistakes at one point in his career and i don't want you to make those mistakes as well
00:04:27that's really all it is and so a lot of these i have a lot of personal stories with and
00:04:32so i'll try to
00:04:33share those as we go along but uh these are all really really really relevant things that you need
00:04:39to take into consideration when you are applying for jobs when you're trying to land a job even if
00:04:44you already have experience even if you have a year's experience two years three years these things
00:04:48are still really relevant it's not just for people who are just starting out although some of these
00:04:54might be more geared towards them but of course we'll talk about that as we go along my wife is
00:05:00texting me i'm gonna turn this off real quick uh i told her i was going into i think she's
00:05:04just
00:05:04saying good luck love you don't get mad at me um so we're gonna go on i think i have
00:05:09seven of these
00:05:09uh and the first one and i think and this is no there's no order to these it's not this
00:05:16is the
00:05:17most important one but this is the first one that when i was writing this out i was thinking i
00:05:20was like
00:05:20one of the bigger things that i messed up when i first started was i tried to do it all
00:05:26by myself i had no network i didn't know how to build a network um i didn't really understand
00:05:32what it meant when people said networking i was like is that like a networking event where you'd
00:05:37go in person and there's like you know a not a stadium but like this area where you'd go and
00:05:42talk to people like i just didn't understand it i don't come from that that that world where
00:05:47networking is like a real thing um and so the first thing i will say is that networking helps you
00:05:54discover job opportunities that are not publicly advertised what i mean by that is i've had a lot
00:05:59of people even when i was about like a year or two in where i started actually networking reaching out
00:06:04to people joining groups um communities online and talking with people and engaging where they were
00:06:10like hey you know we've talked a lot and we have a position open um at our company and they
00:06:15would you
00:06:16know message it to this small group of like 15 20 people that i was with and whoever was
00:06:21interested in could like send in their resume and i got a few interviews that way um and it just
00:06:26networking and not just in those little groups but one-to-one is a really good way for example i
00:06:32help i'm a part of that network right so like if you message me on linkedin um and we start
00:06:38talking
00:06:38and i i probably talked to probably tens of thousands of people at this point um but there are
00:06:43some people who you know they'll message me every so often and they'll maintain that relationship
00:06:47and when something comes along i passed it along to people and they really appreciate that and that
00:06:53is that part of that networking and i'm just one person but you can do that with 10 people 20
00:06:57people
00:06:58that you know you really want to or you're really interested in or that's a uh they're at a company
00:07:03that you really like and start trying to build that relationship so if something does come along then
00:07:08you're one of those people that they think of um this doesn't always have to be online either
00:07:12right if you're in a city like i used to live in charlotte north carolina i used to live in
00:07:17dallas
00:07:18texas both big metropolitan areas um in dallas i was able to do that where i networked with people
00:07:24in person um only after i knew what networking was where i actually went to some meetups and and talked
00:07:30to people but you can do that if you're in a place where there are these types of meetups and
00:07:35you
00:07:35can go and meet people and you can uh you know go in person to places and talk to them
00:07:40this is the kind
00:07:41of networking uh that really leads to those long-term relationships it may not pay off in the first
00:07:47three months of you doing it but maybe after six months or a year you know you're building relationships
00:07:52that are going to last a long time um the next point that i says allows you to showcase your
00:07:57skills
00:07:58and receive validation from industry professionals so oftentimes when you are you know at the very
00:08:04beginning especially is you don't really know what your skill level is right you're applying but
00:08:08you're like am i a beginner am i intermediate should i be applying for entry-level roles you
00:08:13don't really know and so networking allows you to kind of share here's who i am um you know what
00:08:19do
00:08:19you do get to know them start building that relationship and they can be candid with you and
00:08:23say hey look you know here's where you're at with this skill and if you want to be in this
00:08:27industry or
00:08:28this type of company here's what you where you need to get and that they can kind of just mentor
00:08:33you
00:08:33even a little bit just say hey you know i would suggest you learn this that's again networking
00:08:38because then you can go and learn that skill come back to them say hey i really appreciate that
00:08:41they're like hey we're looking for someone who knows that skill will bring you on and that has
00:08:45happened a lot to to a lot of people um and then the last one and that's exactly what i
00:08:51was just
00:08:51talking about which is building a professional network lead to mentorship career advice future
00:08:55job prospects these are all things that happen within a network and i had zero of these things
00:09:00when i first started out um if i was starting from ground zero today and i and i knew nobody
00:09:06nobody
00:09:06knew me i would probably start with reaching out to people online people who i really liked uh either
00:09:13on linkedin or twitter just try to start a conversation with them and say hey i'm just
00:09:18beginning i really like what you're doing and the content you put out i'd love to just talk a little
00:09:22bit and i i get messages like that i probably got 10 this morning uh and i messaged all 10
00:09:28of them
00:09:28back this morning as part of my like routine i like doing that and so there's other people like
00:09:32me who like replying to people and helping people and so just find that person let's go into the next
00:09:39one and uh this one i'm the king of uh and i still all right this is one of those
00:09:47do as i do not as i or
00:09:49do as i say not as i do because i still kind of have generic ish resumes um because again
00:09:56i'm in a
00:09:56different place now in my career where i can be a little bit more generic people will look me up
00:10:01and
00:10:01they know who i am so it's a little different right so i don't customize my resume for every job
00:10:06i do wish though years ago that i had really i really do wish i had done this i think
00:10:12i would
00:10:12have gotten a lot more interviews and it just would have been a lot a lot helpful in the job
00:10:18process and i just didn't do it um so exactly this uh what am i trying to say what this
00:10:25is essentially
00:10:26is it's a generic resume where you're not really highlighting specific skills for the position that
00:10:33you're applying to so for example um i just had one resume that i would blast into any job that
00:10:39was
00:10:40related marketing analyst financial analyst business analyst data analyst uh i was even applying
00:10:46for data science positions at one point or data engineering when i was like thinking about doing
00:10:50that it was just all the same resume um i that's it doesn't make much sense right because every
00:10:57position is a little bit different if i was applying for a marketing position i would want to showcase
00:11:02how my skills are relevant to a marketing analyst position and this is just high level right so like
00:11:08just position based so marketing versus a data analyst versus a business analyst you want to cater
00:11:14towards what are these things actually doing in their jobs and then cater your you know skills and
00:11:20your experience to that job now that's really high level even more even more in depth of that is if
00:11:28you're applying for a very specific company for example if you're applying to amazon or you're
00:11:32applying to microsoft or applying to you know joe's healthcare analytics company or the alex analytics
00:11:38consulting company whatever you're applying to if you look into that company even a little bit
00:11:43uh look at the job description you can then cater your resume to that job description now that takes
00:11:49a little bit more time it does it's going to take more time it's a bigger investment but you are
00:11:54going
00:11:55to fit that job description better every single time so me tossing out my resume maybe i was a good
00:12:02fit
00:12:02for 75 of them or actually that's ridiculous maybe i'm a good fit for 30 of them right but if
00:12:09you
00:12:09customize them it'll take longer but now you're a fit for 50 or 60 so you're increasing your chances
00:12:15of getting an interview uh and that's all your resume is for all your well 95 of what your resume
00:12:22is for is to get into an in-person interview right to get a call uh to talk to a
00:12:27hiring manager that's
00:12:28what your resume is for so you really i really do recommend especially if there's a certain domain
00:12:35for me i was in healthcare analytics because so my resume was healthcare focused um i had healthcare
00:12:41on my job description i had healthcare experience and so when i was applying to other companies like
00:12:47uh bank companies they're like this guy's a healthcare data analyst like why is he applying
00:12:52to this i guarantee you they were thinking about that um if i had changed it to make it more
00:12:58relevant
00:12:58to financial analytics or or banking then it probably would have done a lot better and there
00:13:05was a time i tried to switch i wanted to work at like uh a big uh bank like usaa
00:13:10um and another place
00:13:13and you know i just it wasn't uh it wasn't working now actually one small story i forgot to tell
00:13:19on this
00:13:20previous one i used to work with someone uh at my healthcare company and this it reminded me because um
00:13:25i was talking about the banking he we worked together for like uh two years sat next to him
00:13:32for two years great guy he went and worked at uh i think it was usaa yeah uh and so
00:13:38he worked there
00:13:38and after about a year he messaged me saying hey alex we have this uh bi developer position open i
00:13:45think
00:13:45you'd be a perfect fit you'd be on my team and he was older than me so that you know
00:13:49i i was i would
00:13:50love to do that um and it just wasn't where i was at in my career at the time but
00:13:54he was thinking
00:13:55about me because he really liked me as a person and that was that networking piece where i got to
00:14:00know him and when a spot opened up he was like that's who i want to work with so just
00:14:04a small bit
00:14:05of networking um but i've had that happen now many times over my career where previous people i've
00:14:10worked with or talked with have reached out saying hey alex we'd love to have you you know
00:14:14join as this position as a data analyst or a data scientist or data engineer and so just that
00:14:20networking especially as uh you know you get further in your career it really pays off then
00:14:25the generic res or the resumes become less important it becomes more important about networking
00:14:31let's go to the next one
00:14:34all right no online presence now this one is i would say slightly controversial um you don't need an online
00:14:42presence and you really i had zero online presence like absolutely none i think i had a linkedin
00:14:47uh but i don't think i had ever posted on it um and yeah that's i just i had nothing
00:14:53and so you
00:14:54don't need this but this is something i do recommend um because even smaller i don't even want to call
00:15:02them creators i would consult consider myself a content creator right that's a part of my job now
00:15:07i do a lot of consulting but i'm also i do youtube so i have that a bigger brand but
00:15:12i even see a lot of
00:15:14people who just have 500 600 700 connections who are really able to post just interesting things that
00:15:21people really like and because of that they get people reaching out to them and so uh not only that
00:15:27there's some other things i want to mention as well but the first thing is that when you apply to
00:15:33a job
00:15:33let's say you your resume gets through you didn't have a generic resume like me uh you made a really
00:15:38good resume it was carried to a job the hiring manager is like okay we got it down to these
00:15:43five
00:15:43people let me look them up online i can almost guarantee you that you're going to do that and
00:15:49what ends up happening is is the people who have a good online presence they just create a better
00:15:54first impression or they may even say this person you know they have a bad online presence we don't
00:16:01want them if you have nothing uh it's kind of neutral right you don't have one that's okay
00:16:05uh we'll still bring in for an interview but a good online presence can really help you get that
00:16:11initial interview or can help you have a good impression when you go in for those interviews
00:16:16or even have something to talk about if you have like a crazy cool post that you posted about
00:16:20um about financial analytics and some data that you collected and you can talk about that and they
00:16:25may even bring it up uh not on not out of the realm of possibilities the next thing is is
00:16:32a strong
00:16:32online presence can establish your professional brand and reputation now this takes a long time
00:16:37um this is not something that happens overnight but if you're interested if that's something that
00:16:42you're interested in just posting about like your experience in getting a job or experience in your
00:16:48work or wherever you're at just posting about these things things that are you know could be helpful
00:16:53to others or others could really resonate with then i really i think you should do it i think
00:16:58uh a lot of people don't do it because they're really scared of like how what people are going
00:17:04to think of them or the negative feedback or their co-worker you know uh sarah down the hall she's
00:17:09going
00:17:09to read your post and and you know rat you out or something but there's so much content that you
00:17:13can
00:17:13uh talk about just about work and about work-life balance and and all sorts of things and i've
00:17:20personally find it you know really really therapeutic and fun um so you don't have to this is not a
00:17:26have
00:17:26to do this is more of a if you're if you're interested in doing this i do highly recommend
00:17:32it it has been um it's not just speaking personally this has been one that so many people i've talked
00:17:39to they're like yeah this helped me land a job this helped me you know in my first interview and
00:17:44it
00:17:44really does help um and then the last one says social media and professional networking sites can help
00:17:49you connect with potential employers and peers now um say you have no linkedin account you don't you
00:17:56didn't even make one it's not even blank it doesn't even have your name well you're gonna have
00:18:00to go and apply to places uh just like everybody else so you're gonna have to go on to glass
00:18:05door
00:18:06you're gonna have to go into zip recruiter um you're gonna have to go into monster uh.com or
00:18:13monsters.com or whatever that one is um places like linkedin uh are one of the most powerful places to
00:18:19get a job because they do a lot of the work for you and you can set up your profile
00:18:24um and say
00:18:25you're open to work and and specify the kinds of jobs you're open to to where recruiters and
00:18:30people can reach out to you i have gotten many jobs this way this is actually how i got my
00:18:35very first
00:18:36uh my very first date analyst job and my second date analyst job um i got both of them reached
00:18:43out
00:18:43to me on linkedin i just got lucky right um and that's part of it it's just putting yourself out
00:18:49there in the best way to give you the best chance of landing an interview and so uh this is
00:18:55one that
00:18:56yeah i really think is a good one if you're interested i'm not pushing it i really am not
00:19:01all right this next one this was uh uh this is a really interesting one for me because
00:19:07i pseudo did this without knowing what it was before it was cool before i uh started you know making
00:19:15my videos on it and now it's you know kind of mainstream i'm patting myself i'm just kidding
00:19:20that wasn't me um but you know a lot of people have been recommending this for a long time and
00:19:24i didn't know what this was um and so what i did was i had my resume and my generic
00:19:30resume
00:19:31and alongside it on a whole separate sheet of paper i put sql scripts that i had written that's
00:19:37all i knew uh at that time all i knew was sql and so i had sql doing a little
00:19:43bit of data
00:19:43cleaning a little exploratory data analysis some you know simple not crazy tough stuff
00:19:49but it was on there i had like 10 7 or 8 uh sql code on there and i would
00:19:55send that with my resume
00:19:56um and my logic behind it is actually really sound my logic behind it was well i have sql on
00:20:04my resume
00:20:04but how do they know that i'm actually good at sql right they have sql on their job description
00:20:09i know they want someone who's good at sql i know i feel like i know sql pretty well let
00:20:14me put it
00:20:15on a separate sheet on my resume and send it in well that ended up being something that they really
00:20:22liked and we actually talked about in the interview and they were like yep these are the types of
00:20:25things that we want to see what i didn't know is that was actually called a portfolio um or a
00:20:31project
00:20:31depending on how you want to look at it and i just i didn't think about it and looking back
00:20:38i really wish i had actually created a real portfolio and real projects and probably would
00:20:42have done even better but i at least had something right i had something to showcase that i actually
00:20:47knew the skill and that's what these are for um so the first thing says it shows potential
00:20:52employers tangible skills that you have and helps you verify that skill so for example i go and i see
00:20:59uh john doe's resume and i'm like this is a good resume it looks solid has some of the skills
00:21:04that
00:21:04we're looking for but how do i know he's really good at this skill it's really hard to tell um
00:21:10sometimes you can tell them the job description if they talk about a little bit um but if i could
00:21:15see it it'd be even better and then oh in the top right he has a link and so i
00:21:19go and i click on the
00:21:20link that's his portfolio it's a portfolio website excuse me now on this portfolio website he has
00:21:28multiple projects this project sql data cleaning or uh you know sql data uh exploration and i click
00:21:35on it i see the code that he's written and he has comments and it looks really good and i'm
00:21:39like oh
00:21:39this is you know he knows his stuff he's at least at like an intermediate level that's what we're
00:21:44looking for that'll give me more confidence to bring him in for an interview and i was a hiring
00:21:49manager for a year but then even before that i was on a hiring team for two years so i've
00:21:55been on the
00:21:55hiring process for for many years and honestly i i just it's not a surefire thing to get you an
00:22:02interview but it definitely sets you apart and i can kind of then when you come in for that
00:22:07interview i usually will reference i said hey we took a look at your portfolio we saw these projects
00:22:12you know talk about that a little bit it gives the candidate or you an opportunity to then talk
00:22:17about these projects how you built them where you got the data you know what kind of insights did you
00:22:22find what you know things within that tool did you use and so i can't recommend it enough i genuinely
00:22:29uh looking back have kicked myself many times i'm like i how did i not know to do this like
00:22:35six years ago when i was or seven years ago when i was you know in those early years of
00:22:40being a data
00:22:40analyst um i only started doing that maybe two or three years after i became a data analyst it took
00:22:47me
00:22:47too long yeah do this now do this is not one that um you don't have to do it but
00:22:54again this i this one
00:22:55i really strongly recommend i strongly strongly recommend um the next reason for a portfolio
00:23:01project was my second bullet point says it gives you somebody to point towards during interviews to
00:23:06demonstrate your skills i in the first year of applying for a data analyst position i had a lot of
00:23:14interviews and i'd get in my interview they'd say it says you know sequel says you know excel and i
00:23:20think on there i had like a little python or something and they're like explain talk to us
00:23:25about how you know how you use these skills i would kind of go in a roundabout way well you
00:23:31know i know
00:23:32how to use joins and i know how to use group by for aggregate functions and and let me tell
00:23:38you
00:23:38something that doesn't sound good in an interview i've heard a lot of people say that in interviews just
00:23:42it doesn't sound good you're just saying what sql does it's talking you want to talk about how you
00:23:48use sql to you know actually do something how you use it to clean data how you use it to
00:23:55create
00:23:56automated processes if you know how to do that or just how to aggregate data and what you can find
00:24:01from that right it's about solving business problems use tools to solve problems and so projects
00:24:07are you're completed here's where i took the data here's what i did with it and here's what i got
00:24:13from it and so you can take it and you can talk about it in an interview and say hey
00:24:18i built this
00:24:19i took this data i i did these things in sql and here's what i got out of it and
00:24:24here's what i was able
00:24:25to do with the data and that speaks so much better to you as an employee because you've really worked
00:24:31hard on uh you know working on the skill building something and you can point to that in an interview
00:24:37sounds so much better all right number five um this is a mistake that i made one time i it
00:24:48only took
00:24:48me one time to realize this and i'll i'll tell you the story before i even get into it um
00:24:53i was applying
00:24:55for my first data analyst position i just was looking for any job um and this is this is something
00:25:05that doesn't happen all the time but what ended up happening was is that they reached out for a data
00:25:10science position i didn't fully know what that was but the pay was like 80 grand and at the time
00:25:16i was
00:25:16making like 36 000 so and i was living in dallas so that's like really low for dallas um and
00:25:24i was
00:25:25like i would take anything i'll take any position anything i just want to experience so i went in
00:25:32for the interview and again i don't know why they were interviewing me i just got lucky or whatever
00:25:37well i thought i was getting lucky so i got in there and i started asking questions about work-life
00:25:44balance and about being in person versus uh you know how often do i need to be in person because
00:25:50again
00:25:50i didn't i would have done it either way i was just curious um asking about culture and all these
00:25:54things and i didn't really even fully understand what the business did but i started asking more
00:26:00questions like what does this come what do you guys do um and they're like well here's what we do
00:26:04it
00:26:04was a payday lender i was like quick loans or something i don't remember um and i started to
00:26:11find out more about it i'm like this is a really sketchy business like it just sounds like you're loaning
00:26:19money to kind of broke people and you're kind of like making a profit off of people who can't afford
00:26:25things i was like that's really sketchy then i started asking more questions about like company
00:26:29culture and all these things and they're like oh it's wonderful it's great you know take time off
00:26:35there was just a big red flag somewhere in there and i went back home and i looked them up
00:26:40online
00:26:40and it had a 1.5 rating out of five stars on glassdoor on linkedin on all these places it
00:26:47was
00:26:47horrible all the reviews said never ever ever ever ever work there it is the worst place to work
00:26:53in the world like thousands of reviews that was like my wake-up calls like i need to research
00:27:00these places first um that was one of the one of the first few interviews i took trying to become
00:27:06a
00:27:07data analyst um just really bad really bad and it left left a bad taste in my mouth i was
00:27:13like i need
00:27:14to i need to look these companies up before because i have morals i have a moral compass that i
00:27:21would
00:27:21like to maintain uh throughout my career and so i don't want that to happen to you now uh some
00:27:26other
00:27:27things that it's really beneficial for and these are the ones and that was just like an anecdotal story
00:27:33of why partly why but these ones are really really uh really important the first thing is that it helps
00:27:39you understand the company's data and how they operate so for example i worked with a healthcare
00:27:45analytics for many years and i did it analytics as well cyber security um operational analytics all
00:27:51these things and what i've learned is that you can tell and maybe this comes with a little bit of
00:27:56experience i i can't it's hard to put myself in my my brain when i was first starting out but
00:28:02i can look
00:28:02at a website i can look at a company i can look on their website and i can tell pretty
00:28:07quickly what
00:28:07kind of data they use i can tell pretty quickly um you know what their business model is what they're
00:28:13trying to do with their data and when i go into an interview i can then talk about that i
00:28:18can say
00:28:18you know i was researching your company and it looks like this is kind of what you're doing uh with
00:28:22your data is that is that accurate and they'll tell you oh we're actually doing this that gets a good
00:28:26conversation rolling for oh well you know that's a really interesting process have you guys thought
00:28:32about doing something like this or have you guys done this before um and that definitely comes with
00:28:36experience right just knowledge of of working in these systems and so that is something that you
00:28:42know i have really utilized over the years of researching a company understanding what they do
00:28:47so that i don't look like to put it politely a buffoon uh i don't want to look like a
00:28:53buffoon when
00:28:54i'm in this interview they're like um i'm like hey what do you guys do they're like come on guy
00:29:00like at least look up the company know what our company does show a little bit of passion a little
00:29:04bit interest the next one says you can tailor your responses based off of their business or part of
00:29:09the business that's kind of what i was mentioning earlier is they'll ask you a question hey how do
00:29:13you know you know this skill or what do you know about this topic which is relevant to their business
00:29:18because again you're interviewing for a position at that company they want to make sure you're a good
00:29:22fit so if they ask you a question about that you can say well i don't know much about
00:29:26you know uh claims data right in health care that's something that i know about i don't know
00:29:32much about claims data but i've really been looking into it and it sounds like it's a really
00:29:35important part of the payment system for you know health care and how that works and you just looking
00:29:42that up and showing some initiative even if you don't know what it is just showing that initiative
00:29:46looks really good it's like okay this person is really interested and cares about this um and the
00:29:52last thing is it'll give you great questions to ask at the end of the interview now not a lot
00:29:56of
00:29:57people talk about that it's usually like how to answer the questions but good questions at the end
00:30:01of an interview beautiful i love them there i've had some great i've been interviewing people where
00:30:09they've asked me some great questions and it's left me thinking i'm just like they leave and i'm there
00:30:13with uh you know i remember i was uh oh oh geez i'm forgetting her name but um it was
00:30:20an old colleague
00:30:20of mine we we would do the interviews together i would just sit there i was like that was a
00:30:24really
00:30:24good question it like made me think of them and it kept me and kept them in my head um
00:30:29and there
00:30:29was one person who was a business analyst on our team who we hired not because of that but that
00:30:34really i remember i was like this guy had really good questions and it just it's really good it shows
00:30:39some initiative some thought and so if you research the company you're gonna you can use that to be
00:30:44like i saw on your website or i saw as your company does this how do you guys get the
00:30:48data for that um
00:30:50or what systems you use to collect that data and and you know what processes do you use i'm just
00:30:56pulling
00:30:56this out of the top of my head but these are these are questions that you can form before you
00:31:01go into
00:31:02the interview these are these are things that you need to do i'm gonna check time and grab uh some
00:31:07water real quick oh boy it's 11 30 already i'm running long
00:31:14these personal stories always uh always get me i i talk too long about these personal stories
00:31:19um the last one is not working with a recruiter now recruiters if you don't work with a recruiter
00:31:28you just do it all by yourself you're gonna end up uh like wilson here now if you don't know
00:31:32wilson
00:31:33uh look up um wilson wilson castaway uh it's a movie fantastic film highly recommend it but you're
00:31:41gonna be all by yourself you're gonna be on an island it's gonna be you versus the world and it's
00:31:45gonna be very very very very very tough especially in this tech atmosphere and and job market that
00:31:50we're in it's hard to do it by yourself i cannot stress enough how important recruiters are especially
00:31:56in today's age that's how i've gotten almost every job my first job is a data analyst recruiter
00:32:01second job as a data analyst recruiter third job as a data analyst i just got a promotion on my
00:32:06work
00:32:06so it doesn't really count but um recruiters are crazy important um i this one says the wrong thing
00:32:16here this is from a previous one ignore these this is i must have um accidentally deleted these and
00:32:22left some stuff from the old webinar um ignore the uh the the stuff there i'm just going to talk
00:32:28about
00:32:29it now recruiters are i'm going to tell you i think i've told the story before i worked with my
00:32:36very first recruiter back in 2017 and oh uh yes 2017 when i worked with this recruiter i thought it
00:32:45was
00:32:45a scam and in fact i thought i was going to get like he asked me to meet in person
00:32:50okay and so i go to
00:32:53this building and i'm like i've never met with a recruiter before never talked with a recruiting
00:32:58before so i was really skeptical i was like this guy's trying to help me get a job that doesn't
00:33:03sound right there's something wrong here i'm getting scammed so i tell my wife hey i'm meeting
00:33:10with this recruiter at this location if i don't call you in an hour something has gone wrong i was
00:33:14like
00:33:14i've been mugged i've been murdered or uh i'm in an interview i was like either way i was like
00:33:21just
00:33:21call me at this time to make sure i'm okay it turned out that i got my first job from
00:33:27that
00:33:27interview uh it was great but i was very very very skeptical i didn't understand how they work so
00:33:33here's how they work recruiters there's usually two types of recruiters there's third party recruiters
00:33:39and then there are company recruiters now third party recruiters are just a standalone recruiting
00:33:44company that's all they do they're a recruiting company and often they're called tech consult
00:33:48consulting recruiters or tech recruiters or just recruiters and it's exactly what they do is they
00:33:57partner with companies so i worked with a company called kpn healthcare analytics and it's on you can
00:34:03go on my linkedin and check them out so kpn consulted with this company to hire people and what they
00:34:10would
00:34:10do is they'd go out and they'd vet a bunch of people call people for them save kpn a lot
00:34:15of time
00:34:16because then they don't have to hire a recruiter they don't have to you know go through a thousand
00:34:21uh resumes this company would do it all for them then when this company got a person they would bring
00:34:27it to them they would bring them in for an interview and once they hired them they would
00:34:30pay the recruiting company a service fee usually it's like 10 of uh the person's salary so when i got
00:34:38on salary i got on salary for sixty three thousand dollars at that company so they didn't take my
00:34:44money they just said okay we're hiring them for sixty three thousand we're going to pay the recruiting
00:34:49company six thousand three hundred dollars now if they find it in a week that's sixty three hundred
00:34:54bucks uh in a week so that's how recruiting those those recruiting companies work and so you're not
00:34:59losing anything right you're not losing uh uh you're not going to lose some of your salary you're not
00:35:04going to do any of that you're just getting um sorry i saw somebody in the in the chat say
00:35:10something
00:35:10about the uh mugged murdered um but you're not giving up any money it's a it's essentially a free
00:35:19service to the candidate the company pays for that service um then there are company recruiters now
00:35:26these recruiters are working basically as a single recruiter or multiple recruiters within a company
00:35:32and they work for kpn for example we didn't have recruiters we used a third-party company
00:35:36but for bigger a lot of bigger companies they'll have a recruiting team where they'll go out and get
00:35:42uh people and so how can you work with these recruiters one of the best ways and i and i
00:35:47have
00:35:47videos on this i've posted about on linkedin so you know if you want to check it out more in
00:35:52depth
00:35:53the best way to work with recruiters is to work go on linkedin i i've gotten two jobs from linkedin
00:35:58highly highly highly recommend it um set up your profile make sure you have your skills in your
00:36:04uh job description put your resume on there make a good linkedin profile and then say you're open
00:36:09to work here are the jobs you're looking for really really recommend it the second thing is is i would
00:36:13reach out to recruiting companies so i'd message recruiters at companies i would message third-party
00:36:19recruiting companies send my resume and then i would try to partner with them there was a point back in
00:36:24in 2018 when i was trying to get my next data analyst job i was working with seven different
00:36:28recruiting services or people um so i was just i and i was just constantly once a week not constantly
00:36:35but every week i'd check in with them and say hey have you got anything come across your plate that
00:36:39you
00:36:39think i'd be a good fit for like really appreciate your help and then uh you know one would give
00:36:44me
00:36:44one for that week and then the other six wouldn't uh do anything and so i just keep hounding them
00:36:49essentially and it was a numbers game i just it was as much as i could as hard as i
00:36:54could i was just
00:36:54trying to get you know a different job uh for various reasons now there is one thing then and i
00:37:02actually saw i see this in the chat right now because i'm glancing over every so often when i see
00:37:06it i
00:37:06shouldn't do that but i am um it says uh are they trustworthy um there have been and there are
00:37:16fake companies out there that want your information to do that or to steal it or to sell it or
00:37:22to get
00:37:23you to buy things that you you know say you need and then they charge you for it that happens
00:37:29that
00:37:29is a real thing in my experience that's not crazy common like if you work with 20 recruiters maybe
00:37:36one of them that would that would happen with um i don't have the numbers in front of me but
00:37:41look that
00:37:42up make sure you're aware of what to look for um working with recruiters though i cannot stress
00:37:47how important it is it is very very very important so uh that is a really important one the next
00:37:55one
00:37:55is focusing only on hard skills uh i only had hard skills at least i thought i did i only
00:38:03had hard
00:38:03skills um at the beginning of my career i was like i know sequel please hire me um and that's
00:38:10that's it
00:38:10sequel was like my bread and butter that's all i knew so i really kind of um i really kind
00:38:18of pushed
00:38:18that hard skills like please anybody please hire me i know sequel um but hard skills are not the end
00:38:25all be all in fact i think more than it's like 50 50 once you get into an interview hard
00:38:31skills i
00:38:32believe get you into the interview soft skills plus hard skills 50 50 get you the actual job
00:38:40and here's why when you apply for a job they're going to look at your resume before you come in
00:38:45well at least one person is going to look at your resume and say hey he's got the hard skills
00:38:49they're
00:38:49going to bring you in for that interview so if you get in for an interview you at least pass
00:38:53that
00:38:53barrier right it's like you at least know something or enough of the hard skills you have at least have
00:38:59a good enough resume to get into an interview but once you get into that interview they're going to
00:39:04be like okay we know you have the hard skills explain the hard skills but we're also assessing your
00:39:08personality we're assessing your uh you know interest in this position we're assessing um how
00:39:15much you know about the company um how interested you are a lot of these like other things and so
00:39:21not just hard skills are important it's also your personality you know the way you talk about your time
00:39:27management the way you talk about how you do your work these things really matter because i've had a lot
00:39:33of people on paper look great in on resumes then they get in for an interview and i'm like i
00:39:38would
00:39:38never hire that person i i just that is like the opposite of the person that i want to hire
00:39:44um and i've gone back to like when i was the hiring manager i go back to the recruiters and
00:39:48say
00:39:49hey don't bring in people like that like try to vet them for that specific thing or these types of
00:39:55things in their personality or the way that that they do things because i would never hire someone like
00:40:00that so those are really really important um soft skills are kind of those intangibles like we're
00:40:06talking about work ethic communication time management these are things that it's hard to
00:40:11put on a resume you some people do it i don't it's hard to put on a resume um you
00:40:18you don't just want
00:40:18to say i'm good at communication uh because you may not be good at communication uh you may just put
00:40:26have it on your resume as a soft skill and so how you actually communicate how you actually talk to
00:40:31them makes a big big difference um and like i said at the beginning hard skills get you the interview
00:40:37soft skills get you the job i fully believe that uh i think that's the last one let me see
00:40:45real quick
00:40:46um so just to summarize before we move on to the q a time at the end which i love
00:40:52i've seen a lot of
00:40:52great questions um when you're when you are applying to jobs let's say right now you have
00:40:59no resume you have nothing you're just sitting there you have zero chance of getting a job you
00:41:03don't have a linkedin profile you don't have a resume you know zero skills you're just you're
00:41:08somebody you're a you're a person just existing you have zero chance of getting a job all of these
00:41:15things that you implement increase your chances creating a resume that's going to increase your chance
00:41:20of getting a job substantially that's very important right let's say it's 10 percent then you create a
00:41:26profile that's another five percent then you uh start working with recruiters that's another 10
00:41:30percent and then you start um being getting better at communication and and all these things each thing
00:41:36gives you a higher percentage if you only do two of them you only do one of them it gives
00:41:40you a
00:41:40smaller percentage so that's how i've always thought about like in my mind i'm like i need to give
00:41:46myself the best chance i can at getting a job after that um it's kind of a numbers game it's
00:41:52a waiting
00:41:53game it's a numbers game and there are fluctuations in the market and so you know maybe right now it's
00:42:00not the best hiring i've looked at a lot of data i've talked to a lot of people i think
00:42:052024 is
00:42:06actually going to be a big year for hiring uh especially during the second half this first half
00:42:10is like the beginning of a new year with financials and all these things it's not a typically a very
00:42:15high hiring season um but when you hit like this over the summer and then you hit uh towards the
00:42:21end of the year i actually think we're gonna have a big uh a big hiring uh season at that
00:42:26time so
00:42:27position yourself add those percentage points throughout this next upcoming year and start
00:42:33applying you don't have to wait till the end of next year start applying now because then you'll
00:42:37maybe you'll get an interview or you'll you know you'll uh get some opportunities you can start
00:42:42networking you start building things so that when hiring picks up a lot you're there to ride that
00:42:46wave instead of just starting and then you're like oh no i can't ride the wave because i don't have
00:42:50anything ready um and so it's kind of a numbers game it's a preparation game um but there are still
00:42:55a
00:42:55lot of jobs out there still a lot out there you just got to be prepared for them and apply
00:43:00for them
00:43:01uh so with that being said uh i'm gonna bring will back he'll give a little he'll say some stuff
00:43:08i'm
00:43:08sure and then we'll do some q and a and i'm gonna get a sip of water roll alex this
00:43:13is great loved it
00:43:14absolutely loved it also 2024 big year for hiring uh you heard it here first thank you for that and
00:43:20also i thought alex um researching or not researching before interviews i thought there was
00:43:25some fantastic advice on that slide and i think one thing which our career specialists at career 100
00:43:30also say is it is it's a fantastic chance for you to scope the company so um don't feel like
00:43:35all the
00:43:35pressures on you in the interview it's also your chance to be able to scope the company and see
00:43:41whether you'll be a good fit there or if you even want to work there so um i love the
00:43:45radical candor
00:43:46um that was fantastic i'm going to jump into the questions a lot of questions are coming through
00:43:52um i think we'll just pick up a few first um unless you've seen any that you want to hone
00:43:58in on
00:43:58no you do much better than i do okay okay you ask better questions than i okay um um there's
00:44:06a
00:44:06great question come through through from uh pe initials um what to do if we've been messaging
00:44:11people on linkedin and not getting any responses it could be i would say just on a quick uh it's
00:44:20probably one of two things one your message is probably wrong uh and i say that in the most loving
00:44:26way uh just when you message somebody you know there are some cultural things or societal things
00:44:32that you shouldn't do you shouldn't ask for an interview shouldn't ask them to immediately review
00:44:36your resume although you can or look at your resume you shouldn't immediately ask for something
00:44:42typically you want to introduce yourself and create that relationship first hey i saw you work
00:44:46at this company i'm really interested in that i'd love to learn more i just want to you know
00:44:50wanted to reach out and connect with you that is a very soft approach that's a very you don't want
00:44:54that really hard firm approach of i want a job your job as a recruiter give me a job um
00:45:01that could
00:45:02be the first issue the second issue could be your profile um if somebody messages me i often look at
00:45:07their profile just to see what it looks like i'm just curious i'm a curious person like anybody else
00:45:11so if i get a message from a random person um they're probably going to click on your profile
00:45:15and if it's a bad profile if you have nothing on there no posts no engagement just a blank profile
00:45:21i i would not be interested in talking with that person because i don't know them i can't get a
00:45:26glimpse of who they are on their profile so those are the two things i'd look at if that's the
00:45:31issue
00:45:31that you're having i think that's some great advice also on linkedin you see the quick apply button
00:45:38never press it it's so you think that you want to press it just don't press it uh just have
00:45:43a little
00:45:43bit of thought and approach with a great question uh take a little bit more time um another great
00:45:48question uh coming through and then apologies if i pronounce anyone's names wrong uh nickel is asking
00:45:53alex how many projects should a candidate aim to include in their portfolio at a minimum i recommend
00:46:01three right just three solid projects um they don't have to be crazy advanced just something to
00:46:07showcase your skills uh you know on on my channel i have a ton of projects i i think those
00:46:12are good
00:46:12projects to start with right because you're just looking for the intermediate skills of
00:46:18let's say python of data analysis so you're looking for someone who knows how to use uh like
00:46:24a pandas data frame and manipulate the data a little bit maybe bring in the data uh from like a
00:46:29file
00:46:29like not crazy difficult stuff but three projects at least shows hey they didn't just stop at one
00:46:35three is like hey they put some time and effort into this they built a website this is something
00:46:39they've they put a lot of time into i wouldn't go higher than about seven ish because then it's
00:46:46too many projects once you get to seven then you start taking the bad ones off and you start
00:46:51replacing them with better ones and you keep doing that until you only have good projects right you
00:46:55just seven great projects that's my recommendation i've seen people do 10 15 but that's not my
00:47:01personal recommendation you might start to get a little bit overwhelming if you're presented with
00:47:0610 or 15 projects as a in a hiring position um i know we've got a lot of beginners watching
00:47:13this
00:47:13evening too so if if a resume does land on your table alex what are the kind of the core
00:47:19hard skills
00:47:20that you want to see in terms of tools because there's so many tools out there what are the main
00:47:24ones that you want to see that's a great question and and actually this is a good a good place
00:47:30to
00:47:30mention this you know i always talk about sql excel python tableau power beyond my channel
00:47:36always because i think there's such core fundamental skills but i myself know like 20 other skills that
00:47:44are not those um you know because i just worked with cloud platforms multiple cloud platforms i've
00:47:50worked with in my job i worked with so many different tools some proprietary tools um and different
00:47:56microsoft tools that most people haven't heard of and those are the core skills if you're looking for
00:48:03just like a general data analyst position but when you look on a job description you'll you'll see all
00:48:09these random tools right it's like um oh what's databricks what's um azure data factory what's aws glue
00:48:17what's um uh looker what's all these different tools i have no idea what those are well those are the
00:48:24tools that that company is using so when when i was a hiring manager we were um oh geez it's
00:48:32escaping
00:48:32me at this moment we were using this uh uh microsoft tool that i had never used before well i
00:48:38was i was
00:48:38my job was to migrate all of our data to azure cloud that was what i was hired to be
00:48:43a manager for
00:48:43so we had this old system uh and we were we were migrating it but i needed to hire people
00:48:48who had this
00:48:48skill uh data analysts business analysts who knew this tool already and it's a niche tool it's like
00:48:54not a huge population of people and so i needed someone who already knew the tool and so that
00:48:59really narrowed down who i could hire so i always recommend sql excel python tableau power bi always
00:49:06because look at the percentages if you apply for a data analyst position today there's probably about
00:49:12a 75 chance one of those skills will be on there i'd say a 30 chance two of those skills
00:49:18well maybe
00:49:19excel sql going to be on most of them um but there's gonna be a high percentage chance that
00:49:24those skills will be on there then there are these small little niche tools um or things within tools
00:49:29like within uh the cloud or within um some smaller tools that you can learn but it gives you a
00:49:36smaller
00:49:36percentage chance i'm not saying don't learn it um but if you want to give yourself the highest chance
00:49:42learn those tools so when a resume to get back to the question when a resume comes across my desk
00:49:47it
00:49:47depends on what i'm hiring for when i was on the hiring team for data analysts we need somebody who
00:49:52knew sql really well and that was our main thing python was a plus and then excel so that's that's
00:49:58what we really were looking for but it would be a bonus if they already knew azure because we were
00:50:02starting to migrate to azure um in that position so i'm looking for things that are relevant to the
00:50:08position we're hiring for when i was a hiring manager we i didn't care about sql because we
00:50:13weren't using it um we were trying to migrate to a system where we could utilize sql um which was
00:50:19in
00:50:19in the cloud in azure but we didn't use it so i couldn't hire for that and i and i
00:50:23needed someone now
00:50:24who knew this tool so you know look at the job description see what they're hiring for because
00:50:30that's what they're going to look for they're going to look for those things uh whatever in their
00:50:33job description they're going to ask about it that's what they're going to look for
00:50:38awesome great advice i also loved how you broke it down into percentages and probability
00:50:42um i think that um i wouldn't expect anything less from a data analyst but i think that's a
00:50:47great approach to do it too um i think maria has also got a fantastic question and this is a
00:50:52this
00:50:52is a question um for people who are recent graduates um you know the job market can feel a little
00:50:58bit
00:50:58intimidating especially when you've just graduated how is the best way to find a job for a recent
00:51:03graduate that's from maria yeah recent graduate i i that's my that's my bread and butter right
00:51:10people who are trying to break into data analytics also people who are like out of college out of
00:51:15their master's program that's the majority people who i talk to and who i i you know cater my content
00:51:21towards because that's where i was um the best thing that you can do is everything that we just
00:51:28talked about in the in this uh webinar and i'm being genuine about that really every this all is
00:51:35catered almost every single piece was catered to you um the biggest things these are the hierarchy
00:51:42for you create a really good resume there are lots of resources for creating great resumes i have some
00:51:49myself create a really strong resume then create a really good linkedin profile then work with a
00:51:56recruiter if i could only choose three out of this whole list i would do those three things those are
00:52:00the things i would start with i would make really good and i would do them relentlessly i would keep
00:52:05updating my resume as i got more projects as i did more stuff i would keep updating my linkedin i
00:52:10create
00:52:10posts i would then work with a recruiter and not work with one recruiter i would work with as many
00:52:15recruiters i could possibly work with i'd email them every single week i'd call them once a week
00:52:20and i would keep messaging them until they blocked me because that is just unfortunately how you have
00:52:24to get a job uh these days that's it's similar to how when i was when i was first getting
00:52:30my job
00:52:30it hasn't changed too too much it's just maybe a little bit tougher these days but genuinely persistence
00:52:37and and being really consistent at it is that's all i applied to thousands of jobs that's an exaggeration
00:52:46it was like a thousand and ten but it was over a thousand jobs and i worked with tons of
00:52:51recruiters
00:52:51and and it's just that consistency and that persistence that's going to really help you
00:52:56you know break in and get that first job
00:52:59alex were you doing it on a reward base so that you you you got two um applications out and
00:53:04then you
00:53:05rewarded yourself or what kept what kept you going through the through the storm no it was um i in
00:53:11at
00:53:12at that time um when i was when i applied for those thousands jobs uh it was over a thousand
00:53:18jobs i was
00:53:21i was making 36 000 a year we just found out my wife had gotten pregnant i was having that
00:53:26oh my
00:53:27goodness moment i need to make more money um and so i like i went all in i was like
00:53:33i am going to
00:53:34make this happen i don't care how unqualified i am or how little i know i am going to make
00:53:40it happen
00:53:40and i did i i just i had that never give up never quit don't stop until it i make
00:53:46it happen kind of
00:53:47attitude that's where i was at the time i think that's awesome but i think it does go to show
00:53:53though
00:53:53that um you know keeping on track keeping the the goal in aim um and doing methodically um we also
00:54:01see
00:54:01the career foundry the graduates that go through the ones that put in the work and the ones that
00:54:05apply on a regular basis um are the ones who are more likely to to land that job so the
00:54:10motivation
00:54:11and that will to land the job is is also going to put you in a in a good place
00:54:15um let's talk
00:54:16transferable skills david's got a great question um it's a little bit on a specific industry but i think
00:54:22we can also take it more general do you have any tips about highlighting transferable skills
00:54:26when your experience is all in one sector david is also a healthcare analyst cool yeah so i worked
00:54:34uh this is this is great because this this was me i worked um as in healthcare for years i
00:54:42was working
00:54:42in nursing homes i was working in uh rehabilitation centers i was working on the actual like healthcare
00:54:50side um then i was working in er's or icus or different stuff like just that's what i did
00:54:56throughout college and then out of college that's what i did um now i didn't have any data analyst
00:55:02experience but what i did was i was like okay this is something i think was really helpful that's like
00:55:07i'm glad you're asking this because i didn't really this is kind of like don't have the generic resumes
00:55:12like catering your resume i did do this one thing which is i realized that my healthcare experience was
00:55:16really valuable i was like okay i have domain knowledge of how things work in an actual hospital
00:55:22or at a rehabilitation center or at this these places i understand how they collect the data with
00:55:27you know in the ehr systems or however they're collecting it and why that data is important like i
00:55:32understand these things i just haven't ever used it in the data world and so on my resume i would
00:55:38then
00:55:38write you know experience uh collecting or or using data like this and i would talk about claims data
00:55:46i talk about hixpix codes or icd codes or loint codes and i would talk about um you know diagnosis
00:55:53codes and how we would use that to bill for billing and all that stuff so i really do think
00:55:59you most a
00:56:00lot of jobs you need domain knowledge for you can use that and talk about it in a way that
00:56:06somebody
00:56:06who's hiring for a data position is going to be like i recognize that that person knows what they're
00:56:11talking about and that's it's a good thing right that's a really good thing for a recruiter or a
00:56:16hiring manager to see i think another thing um also working with career foundry graduates and
00:56:23hosting a lot of online events is that we have a lot of people thinking about career change thinking
00:56:27about shifting over and they come from either like a marketing background they come from a liberal arts
00:56:31background so many different backgrounds and um when they're making a career change the first thought
00:56:37is that i'm going to be starting at completely at the bottom i'm starting at zero but forgetting all of
00:56:44the professional experience that they've had before that wealth of knowledge the transferable
00:56:48skills presentation skills soft skills all these things so actually you're not you're not you're
00:56:52not starting at you're not starting at the base you're not starting at naught you're bringing all
00:56:55that knowledge and they're going to also help you in your new career um alex i know that this evening
00:57:01uh we also spoke a lot about uh recruiters uh finding recruiters um ebony's got a great question
00:57:07um how do you go about finding recruiters via linkedin
00:57:14i have a video that literally shows you how to do this uh i recommend it i don't remember what
00:57:21it's
00:57:21called i have a video doing showing this exact thing i show you how to do it i'll talk about
00:57:25it
00:57:25but it might be you know this old noodle of mine i'm not 100 if i'm going to get it
00:57:31all exactly
00:57:31correct but here's how you can do it and this is this is like recruiter gold what you can do
00:57:40is you
00:57:40can go and what i would do is i would apply for a job right i go and i'd say
00:57:44oh here's a job for
00:57:45um alex analytics llc is that's that's my company i found this job i'm going to click on it
00:57:53or i'm going to apply for the job and then i'm going to click on it i'm going to go
00:57:57to the the
00:57:58company you can go down and find people you can then search for people within that company i would
00:58:02type in recruiter then you can find all the recruiters you can message one say hey i just
00:58:06applied for this job and you can link the original job you can say i'm really excited about i think
00:58:11my
00:58:11skills really fit it um i'd love to chat more about what the position entails just something quick
00:58:16something easy and i have in that video somewhere i have some information on that but it's so easy and
00:58:22you can do that for any job that you're like really really really interested in if you find a job
00:58:27that you're like i really want that job that fits my skills perfectly it's exactly what i'm looking
00:58:31for it's in the location i'm looking for and i've had lots of jobs like that i never got called
00:58:36back
00:58:36for but i'm not salty about it um you know you can go and you can actually find the person
00:58:41or the
00:58:41recruiter for that company that is lovely highly recommend it the next thing that you can do is you
00:58:48can have recruiters reach out to you now this is on the profile side you're going to go to profile
00:58:52you're going to say uh you know what give me a second i'm going to go on my linkedin real
00:58:55quick
00:58:56i'm not pulling it up on my my profile probably uh because it's got a lot of stuff on it
00:59:01but you
00:59:01can say open to here it is you can say open to and then there's finding a new job and
00:59:06then you can
00:59:06specify exactly what you're looking for job title location uh on-site or remote your start date full
00:59:12time part time and if recruiters can see it or if uh the anyone can see it so those are
00:59:18all the things
00:59:18you can specify and i've had over the years even when i had no experience i had lots of recruiters
00:59:24reaching out that's where i was working with all these recruiters so i highly highly recommend
00:59:28those two things great advice see linkedin is your friend we're also streaming live on linkedin at
00:59:35the moment so hello to everyone there i know we've got a question over there but firstly uh it's the
00:59:40time of the evening where we're talking about existential questions um and uh jaleesa's got a
00:59:46great question an existential question also basing that you said earlier that 2024 is going to be a
00:59:51big year for hiring do you think the data analytics role will be around for a long time
00:59:56and how can it potentially evolve over time right and i'm sure you're referencing ai uh and i've i've
01:00:03been if nothing else semi-obsessive over this for the past year um you probably don't see it a lot
01:00:09but i look into this stuff way more than i should uh probably more than most probably i'm in the
01:00:1499th
01:00:15percentile for sure um and i what's really great about you know my brand and who i am is i
01:00:21have
01:00:22connections to a lot of really cool people um who know more than i do and so i talk to
01:00:27them about
01:00:27these things and i call them up and you know i know director of analytics at some big companies and
01:00:32i'm like hey how is how do you see this affecting your your business or your company i talk about
01:00:36them
01:00:36uh talk about that with them here's what i've distilled over the past year and what i see
01:00:42um how i see the world of analytics changing and what it's going to do in the future i think
01:00:47i had
01:00:47i think we did we do a webinar on this uh in the past we did one on chat gpt
01:00:55yeah maybe it was just
01:00:57that which was a good one uh okay i couldn't remember if we did a whole webinar on this though
01:01:03but
01:01:03um anyways i digress everything that i've found is ai is great if you just go on linkedin and twitter
01:01:14and type in ai all you are going to see is ai is going to replace all the jobs in
01:01:22tech ai is going
01:01:23to do this ai is going to do this it's a lot of hype and there are some truth to
01:01:28what they're saying
01:01:29uh with some of the things that the abilities that it can do i have used ai enough and i've
01:01:34talked to
01:01:35so many people like probably upwards of 30 40 people who are really experts some of who are even
01:01:41trying to implement ai into their companies ai if nothing else i've heard i've i haven't heard
01:01:50anybody let me let me rephrase that i've heard one person say hey and i'm thinking of a specific
01:01:56person who was just like it could but i don't see it happening but it's possible this could happen
01:02:01the other 39 people let's say it was 40 the other 39 people every single one of them was like
01:02:07no this
01:02:08is going to add more work and it's actually going to explore going to have to expand our team to
01:02:13accommodate now here's why now when i i put myself in the shoes back when i was an analytics manager
01:02:19and i'm like okay how would this have impacted my business i thought about this a lot
01:02:24ai is really cool really great stuff especially for coding for you know for for building things
01:02:31it's great but ai is not perfect uh and in fact i've used it so much now that i'm like
01:02:37i really have a great feeling that you know even if it gets a little bit better progressively better
01:02:44it's never going to get to the point where it's going to replace me as a person
01:02:48um just because i i just how i use it now if i'm back in that manager position i'm looking
01:02:55at it
01:02:55i'm like how would i integrate ai well i know a few specific things i could integrate ai into
01:03:01but i can't just put ai into the system and it does everything it's not possible it would not have
01:03:08been possible back when i was a manager i just know it because how our systems work how our data
01:03:13are
01:03:13siloed how um our systems are connected how we collect our data how we uh how we store our data
01:03:19in these cold and hot storages in the cloud it just would not have been possible uh to ever replace
01:03:25anybody um but i know there are specific processes within our thing that ai could definitely have helped
01:03:31with and so i would have brought someone in who is a who knows ai like an ai engineer or
01:03:36a data
01:03:36engineer who could implement it to help streamline that process once you streamline one you're going to
01:03:42streamline more and you're going to keep going that's going to take years of work um those are
01:03:48just parts bits of the whole the whole is where all the everything is and so when i talk to
01:03:54all these
01:03:54people they're like well we're trying to implement it for this single use case we're trying to implement
01:03:59ai for this workflow but that's only like one percent of the work or five percent of their work
01:04:04it's very small so you know right now even within the next 10 years i see ai being an enabler
01:04:13and a
01:04:13grower of what we're able to do and how we're able to do our work so for analytics i i
01:04:20all i genuinely
01:04:22i i genuinely don't see it reducing work uh or the amount of people who are in in analytics i
01:04:30see it
01:04:30increasing it and almost everybody that i've talked to almost everybody says the exact same
01:04:36thing they're like oh yeah we're gonna have to hire on more people for this and it's only for
01:04:39this specific thing you don't there isn't just a data analyst ai even uh the data analyst ai in
01:04:46chat to et i've used it a lot i never even made a video on it because i am i
01:04:51uh talking about what i
01:04:52experienced but even when i was using that i was like this is good but it's not great it's not
01:04:58like
01:04:58this is like entry-level stuff like an entry-level analyst could do this and probably do a little
01:05:03bit better but it helps with the workflow and so from my experience my personal experience data
01:05:10analytics is going to be here for a long time i do think though that ai is going to become
01:05:15a
01:05:15necessary skill in the next two three five years like it's going to be in implement integrated in a
01:05:21lot more places especially as google and microsoft start rolling out co-pilots and all these
01:05:26different ai assistants you're going to need to know how to use them um but all these core skills
01:05:31are still going to be there you are still going to need to know how to use sql you're still
01:05:36going
01:05:36to need to know how to use excel and python and cloud platforms and tableau and power bi i promise
01:05:42it look come back to this webinar in five years now i am wrong i will give you a thousand
01:05:47dollars cash
01:05:48i will then mow you that money if in five years somebody bookmarked this somebody put a timer
01:05:53a thousand dollars cash i promise you i am so confident you are going to need to know those
01:05:57skills in five years i it's it's like 99.9 but you but ai is going to be an assistant
01:06:04to that right
01:06:04so you know in the future yeah harry said deal all right harry's got me message me i'm not even
01:06:11joking somebody put that on their calendar five years from now in the future you're going to need
01:06:16to know these skills these skills aren't going away businesses need information they thrive on data
01:06:21they thrive on these things and more companies now are going to need data teams that they never
01:06:26had before especially small and medium-sized company who've never developed a data team
01:06:30they're going to have to create a data team to keep up they're going to have to and so who's
01:06:35going to
01:06:35analyze that data are you going to fully rely on ai to do that and not have you know somebody
01:06:40who
01:06:40really knows what they're talking about you're not going to do it i just it would be such a bad
01:06:45move
01:06:45it'd be a bad business move to do that so i'm going on a rant i'm i i've i've completely
01:06:53taken over this qa section but i'm very i'm very passionate about it i really am because
01:06:57even eight months ago or no at the beginning of this year let's say like 10 11 months ago i
01:07:03went
01:07:03through like this existential i'm like i'm like is analytics gone like i just didn't know enough about
01:07:08it now that i've used it i've talked to tons of people i follow it really closely i'm i've been
01:07:14i'm
01:07:14more confident now than ever that analytics is for sure going to be around even 10 15 20 years from
01:07:21now i've seen exactly the same just to echo your points i think at the beginning of the year i
01:07:27mean
01:07:27ai's been here a lot longer than just this year um but uh with the arrival of chat gpt um
01:07:33especially
01:07:33at the start of this year i think there was a lot of fear at the start but the more
01:07:36i've spoken to
01:07:37industry professionals like you um other tech professionals who've been on the channel um through
01:07:43instagram there's just so much optimism and so much motivation also around this topic and i think
01:07:49uh people are seeing that it's gonna you know it's gonna they're gonna work with ai to take their jobs
01:07:54to the next level and it's going to create a lot of opportunity one thing i also wanted to say
01:07:58in terms
01:07:59of integration and to just do a shameless plug is that our curriculum editors at career foundry have
01:08:03also been working uh very fast in the background and have updated the full data analytics program with
01:08:08ai content too so i'll just put that shameless plug out there i'm going to ask a couple of questions
01:08:14i
01:08:14know we're running a little bit over time but i do want to come back to linkedin because hilda's got
01:08:17a great question a difficult question we haven't asked this one before uh the dreaded moment that
01:08:24you're in the interview and uh the interviewer says that you're overqualified what do you do what do
01:08:32i've never had that happen i i i've never been overqualified for a position um you know i think
01:08:40i've heard that happen and i've thought about it before and and here's what i would say i would
01:08:43i if i if that were me i was in that moment and they're like hey you're overqualified like i'm
01:08:49going
01:08:49back to a entry-level data analyst position i've been an analytics manager i've run my own company i'm
01:08:53running my own company let's say i go back i'd be like hey listen i would not be applying for
01:08:57this job
01:08:57if i didn't see myself at this company or in this position for a long time that's what i would
01:09:02say
01:09:02i would say i'm applying to this job for a reason it's because i really believe in the company i
01:09:07really
01:09:07want to be at the in this role and i want to grow with this team that's what i would
01:09:12say i hope that's
01:09:13pretty good thanks alex i think somebody asked whether your offer is going to be adjusted for
01:09:19inflation in five years uh that's a question that's come up um alex thank you so much for
01:09:28presenting this evening i know that we had a lot of questions uh we do have to cut it off
01:09:31um but
01:09:32thank you so so much for anyone in the career foundry community who's been watching this evening
01:09:36do check out alex's youtube channel alex the analyst if you click in the live section too you'll
01:09:42find some past live events that we've done we've covered a broad array of different topics including
01:09:46chat gpt uh networking uh entry-level jobs we've covered a lot so do check those out and also
01:09:53check out um alex's uh videos uh they're super good and um i think alex you've got over six have
01:10:00you how many how many subscribers do you have now i don't know i haven't looked it's like 6 30
01:10:05or
01:10:05something it's somewhere around there just if you're in the career foundry community haven't checked out
01:10:09the channel get over there like and subscribe um because it's fantastic content one thing that we're
01:10:15currently running as well for those watching on big market but also on youtube if you click in the
01:10:18description below is that alex is currently giving away a 20 off career foundry's data analytics
01:10:23program all you have to do is click the link and if you're not quite ready you can also book
01:10:27a call
01:10:28with one of our program advisors to find out more about the career foundry program the curriculum job
01:10:32guarantee uh the new ai integration everything you can ask the questions over there so do and do go
01:10:38over there and one last thing that i wanted because i did mention the curriculum editors before is
01:10:43the career foundry does also have a fantastic blog i'm just going to post a link on big market do
01:10:49check out the career foundry data analytics blog and we also do a career foundry short course so if
01:10:55you're interested in data analytics i'll just post a link here a lot of links but um do check that
01:11:00out
01:11:00it's like a five five day introductory course where you get a little bit of a taster of data analytics
01:11:05alex we're going to be doing an event again in january to kick off 2024 and to see um how
01:11:12hiring is
01:11:13going we will have our finger on the pulse then um but thank you so so much for joining thank
01:11:17you for
01:11:18all the questions from the audience uh we love to see alex's audience on the career foundry channel
01:11:22and the enthusiasm for data analytics and data cleaning that i know some of you have is admirable
01:11:29and um that's it we're calling a close thank you so so much for joining this evening and alex we'll
01:11:34see
01:11:34you again next time thank you so much
01:11:36you

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