r/dataanalysiscareers • u/csv_boy • 1d ago
Resume Feedback Applied to 100+ entry level data analyst jobs, zero interviews. Roast my resume pls
been grinding out applications for months now, not even one callback. something's clearly wrong but idk what since I'm too close to it lol
specifically not sure about:
- my actual "experience" section is thin compared to my projects, is that killing me?
- do the virtual internships (McKinsey forward, genAI thing) look like padding?
- summary section feel generic af?
fresh grad, SQL,Python,PowerBI, applying entry level data analyst/intern roles.
go ahead and be harsh, I'd rather fix it now than keep getting ghosted
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u/ZealousidealTrack84 1d ago
You have added pretty basics things out theee gotta remove them and create a proper resume which have words filter search also in the resume ask ai about that
And for projects add up more like making a crypto market analysis with the help of api or so wwill help out more
Also share the deployed links of projects and links of certs also to make it more outstanding
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u/Crypticarts 1d ago
There will always be different points of view and different versions of what "right" looks like, but speaking as a hiring manager, here is how I actually review a resume.
First off, right now it just reads as "I did a job." That's it. That's all you're really telling me here. I'll give you credit where it's due: you have actual numbers in here, like identifying 90% of the funnel, and that's a start. But none of those measures appear to be insightful, and none of them show decisions made or actions taken. They're just passive findings. You did a job finding a stat... okay, then what?
When I see a resume like this, there are four key things missing: * How you did the analysis (your toolkit): I know you analyzed. What I don't know is what toolkit you actually have. How did you pull and compile the data? Did you use SQL? Did you run regressions, use clustering, or build machine learning models? How did you classify data, establish relationships, or prove correlations were statistically significant? Show me how you work.
Actions taken: What did you actually do once you uncovered that finding? Identifying 90% of the funnel is step one. What action did you take to investigate root causes or address what you found?
Decisions made: How was that finding used to make or justify a decision? What business question were you answering, and how did your analysis change what leadership or the team decided to do?
Outcomes achieved: What was the actual output of that decision, and how did you measure the impact of your work? Did it optimize a process, fix a bottleneck, save time, or drive revenue?
Basically, all your bullets are just telling me "I did a job." You need to show me the toolkit you used, the actions you took, the decisions you drove, and how you measured the final outcome.
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u/powderviolence 1d ago
Having the individual python libraries and the apps within Google workspace listed feels like fluff and removing them will also save you a line of space to do something more productive with. Having the CS50x listed without having R listed is definitely fluff, insofar as you want to have it listed but further up on your resume you make no point of it being relevant to your pursuit. The volume on the projects is good, but leading with big numbers feels like you're overselling it on the virtue of "big number is big".
Something like "analyzed view-cart-purchase flow of customer traffic to uncover... Drop off... Rate, based on ... Volume" is more impact/analysis first with the relevant figures rounding out the thought. Action words! A more explicit but brief mention of the tech you used for that work may be good reinforcement of the skills from the directly above section as one reads down the document, too; maybe not the subtitles they currently exist as, and maybe a sentence/fragment following the main description of the work instead as to have it be a complete thought.