Data Career Podcast: Helping You Land a Data Analyst Job FAST
Aug 25, 2026 Β· 25 min Β· 13 segments
Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Real recruiter spends 20 seconds on this resume and finds nothing worth keeping. I show you why. π Grab myβ¦
Influence stakeholders.
Explain technical concepts to non-technical people and non-technical stakeholders.
You absolutely need that.
Your job is to convince Bob, who cannot turn on his monitor, why you have SQL and what you do with the data.
That is your job, and you need to show me that in the resume.
Uh, very important here that, like, yes, being a clear communicator is an important job as a data analyst.
Um, and you need to be able to explain, you know, complex things, numbers, uh, to non-technical people in a simple way.
Um, I know he's just going this off the cuff, where he's like, "You need to explain to Bob why we're using SQL." And to be honest, most of the time you'll be working at a larger company that already decided they're using SQL, and it's not really your job as, like, a junior or intermediate data analyst to be like, "We should switch to something else." And to be honest, what are you gonna switch to? Like, everyone uses SQL.
I'm being nitpicky, but I just wanna, you know, bring up a point here that recruiters, they have to know everyone's job inside and out, and that's absolutely impossible.
So, like, just know that recruiters kind of know what they're talking about, but not exactly, because he has to know all the details of a data analyst, of an accountant, of a financial professional.
Like, rec- recruiters work for so many different roles that they have to know, you know, these different role types, and they often don't, 100%.
I wanna see how you solved a problem with data, not what the data is.
This is another big one that data analysts get wrong all the time.
Also, I do more than tech resumes such as, like, software engineers, data analysts.
I do, like, accountants and everything else.
But the tech market is so incredibly terrible that, like, 50% of the resumes sent to me are tech, but I do do more than tech.
But-
So once again, he's just proving the point here that recruiters, they often do lots of different types of roles, and it's impossible for them to know, you know, the ins and outs of every role.
So when you're, when you're-- when recruiters are reviewing your resume, they don't know everything, and so you have to work really hard to try to make it as easy as possible for them to know what you're talking about, and we'll, we'll get to this here in a second.
But a common data analyst problem is they always tell me how they got the data when nobody cares how you got the data.
Influence stakeholders.
Explain technical concepts to non-technical people and non-technical stakeholders.
You absolutely need that.
Your job is to convince Bob, who cannot turn on his monitor, why you have SQL and what you do with the data.
That is your job, and you need to show me that in the resume.
Uh, very important here that, like, yes, being a clear communicator is an important job as a data analyst.
Um, and you need to be able to explain, you know, complex things, numbers, uh, to non-technical people in a simple way.
Um, I know he's just going this off the cuff, where he's like, "You need to explain to Bob why we're using SQL." And to be honest, most of the time you'll be working at a larger company that already decided they're using SQL, and it's not really your job as, like, a junior or intermediate data analyst to be like, "We should switch to something else." And to be honest, what are you gonna switch to? Like, everyone uses SQL.
I'm being nitpicky, but I just wanna, you know, bring up a point here that recruiters, they have to know everyone's job inside and out, and that's absolutely impossible.
So, like, just know that recruiters kind of know what they're talking about, but not exactly, because he has to know all the details of a data analyst, of an accountant, of a financial professional.
Like, rec- recruiters work for so many different roles that they have to know, you know, these different role types, and they often don't, 100%.
I wanna see how you solved a problem with data, not what the data is.
This is another big one that data analysts get wrong all the time.
Also, I do more than tech resumes such as, like, software engineers, data analysts.
I do, like, accountants and everything else.
But the tech market is so incredibly terrible that, like, 50% of the resumes sent to me are tech, but I do do more than tech.
But-
So once again, he's just proving the point here that recruiters, they often do lots of different types of roles, and it's impossible for them to know, you know, the ins and outs of every role.
So when you're, when you're-- when recruiters are reviewing your resume, they don't know everything, and so you have to work really hard to try to make it as easy as possible for them to know what you're talking about, and we'll, we'll get to this here in a second.
But a common data analyst problem is they always tell me how they got the data when nobody cares how you got the data.
The rest of this transcript β segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript β by keyword, by phrase, or by meaning, across every show Radar indexes
Trends β what is surging across podcasts, measured against its own baseline
Alerts β when a name you follow appears in a newly indexed episode
No account is needed to search Radar.